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The Environment and Health Modelling Lab

Developing and applying state-of-the-art modelling tools to investigate environmental health risks

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Our mission is to develop innovative epidemiological methods to study the impact of environmental stressors on human health.

Who we are

We are a research team with complementary expertise in biostatistics, epidemiology, data science and climatology, based at the London School of Hygiene & Tropical Medicine.

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The Environment and Health Modelling Lab is a team of researchers based in the Department of Public Health, Environments and Society at the London School of Hygiene & Tropical Medicine. We have multi-disciplinary expertise spanning biostatistics, environmental epidemiology, data science, statistical computing and climatology.

Our research aims to improve understanding of how environmental factors affect human health. Our work has a strong methodological focus and has contributed to the development of new study designs, statistical methods and modelling techniques for epidemiological analyses. We are exploring and pioneering the use of biostatistical tools and modern computing and data technologies to advance research in these fields.

Our research outputs cover a wide range of areas, including epidemiological studies on health risks associated with non-optimal temperature and air pollution, spatio-temporal modelling and environmental exposures, health impact projections under climate change scenarios and the use of new data technologies for environmental health studies. 

Who we are
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Profiles List
Professor Antonio Gasparrini

Antonio
Gasparrini

Professor of Biostatistics
Dr Malcolm N. Mistry, PhD, AF HEA.

Malcolm
N. Mistry, PhD, AF HEA.

Assistant Professor in Climate and Geo-Spatial Modelling
Dr Pierre Masselot

Pierre
Masselot

Assistant Professor
Mr Arturo De La Cruz Libardi

Arturo
De La Cruz Libardi

Research Assistant - Health Data Science
Research Assistant

Rebecca
Cole

Research Fellow in Environmental Epidemiology
Dr Huiqi Chen

Huiqi
Chen

Research Fellow in Environmental Epidemiology
Ms Devon Nenon

Devon
Nenon

Research Assistant in Environmental Epidemiology

Ben Armstrong

Emeritus Professor
Dr Ines Amine

Ines
Amine

Research Fellow in Biostatistics

Francesco Sera

Honorary Research Fellow

Harriet Daultrey

Honorary Clinical Lecturer
Ms Ellie Morse

Ellie
Morse

Communications Officer
Communications Officer

Grace O'Brien

Project Coordinator
Research
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Our research covers a wide range of topics, including: methodologies, global health modelling, climate change and health, air pollution, and spatio-temporal modelling.

Focus areas: 

Statistical Methodologies

Distributed lag linear and non-linear models

Distributed lag models (DLMs) represent an elegant methodology for describing lagged association in time series data. Originally developed in econometrics, they are now frequently used in epidemiological analysis. Pioneering work by Ben Armstrong extended them to distributed lag non-linear models (DLNMs) for non-linear temperature-mortality relationships.

 Distributed lag non-linear models

We proposed a unified statistical framework for the DLM/DLNM class, based on the definition of a cross-basis, a bi-dimensional space of functions that describes the association simultaneously along the space of predictor and lag. Later, we generalised the methodology beyond time series data, allowing applications in various epidemiological fields. Finally, we extended their statistical definition to penalised DLNM, implemented through generalised additive models (GAM). Other specific extensions implemented first the reduction of DLNMs to uni-dimensional summaries, useful to combine results from multi-location analyses, and then the computation of attributable risk measures. The framework has been formally assessed in a simulation study to model lagged associations in environmental time series data. The DLM/DLNM methodology is implemented in the R package dlnm.

 

An extended meta-analytical framework

Standard methods for meta-analysis are limited to pooling associations represented by a single effect size estimated from a set of independent studies. However, this setting can be too restrictive for modern meta-analytical applications.

Meta-analytical framework

The EHM-Lab has first contributed to developing multivariate meta-analytical methods for pooling multiparameter estimates representing complex associations. We then developed a general framework for meta-analysis based on linear mixed-effects models that includes, as special cases, multivariate, network, multilevel, dose-response, and longitudinal meta-analysis and meta-regression. Applications of these meta-analytical developments have been described in a tutorial on extended two-stage designs for environmental epidemiology. The methodology has been implemented in the R packages mvmeta and mixmeta.

 

Study Designs

The case time series design

Modern linkage methods and data technologies provide a way to reconstruct detailed longitudinal profiles of health outcomes and predictors. This rich data setting, however, poses important methodological and computational problems that traditional epidemiological methods are not well suited to address.

Case time series

Research by the EHM-Lab has led to the development of the case time series (CTS) design, a novel methodology that combines the longitudinal structure typical of aggregated time series with the individual-level self-matched methods. The modelling framework is highly adaptable to various outcome and exposure definitions, and it is based on efficient methods that make it suitable for the analysis of highly informative longitudinal data resources.

The main article introduced the CTS design and illustrated applications in case studies using environmental and clinical data. A following tutorial article adapted the CTS methodology for the analysis of small-area data. The statistical framework is based on conditional regression models, presented in a methodological article.

 

Time series design in environmental epidemiology

Time series analysis has become an essential tool for epidemiological analyses of short-term effects of environmental factors. The EHM-Lab has contributed substantially to the development of time series methods in this area. A tutorial article illustrated the key features of the design and its implementation for environmental health studies. A seminal paper then established it for the analysis of temperature-mortality risks in multi-location studies.

Graph showing an oscillating red line, with daily deaths on the y axis, and time from pre 1990-2002 on the x axis

The EHM-Lab has also contributed to the development of specific methodologies for time series data. These include the implementation of distributed lag linear and non-linear models and a simulation study on modelling lagged effects and seasonal trends. Another contribution introduced a conditional Poisson framework for time series analysis. A recent article has presented the last design and statistical extensions for time series analysis in multi-location studies.

 

Small-area analysis of environmental risks

The increased availability of data on health outcomes and risk factors collected at fine geographical resolution makes it possible to conduct small-area epidemiological studies. However, this setting poses important methodological and computational issues, related to modelling complexities and data linkage. 

Maps showing small-area analysis of environmental risks

The EHM-Lab has developed cutting-edge study designs for the analysis of small-area data. These methods allow the use of finely disaggregated health data linked with high-resolution environmental exposure measurements through GIS techniques. The framework offers the opportunity to study local variations in risk and the role of area-level characteristics in modifying the vulnerability to environmental stressors. A tutorial article illustrates the use of case time series design in this setting, followed by an application to study small-area temperature-related risks. Another work presented alternative methods based on spatio-temporal Bayesian models to study risk of dengue in Brazil.

 

Extensions of two-stage designs

The two-stage design has become a standard tool in environmental epidemiology to model multi-location data. The EHM-Lab has recently proposed multiple design extensions of the classical two-stage design structure, all implemented within a unified analytical framework based on linear mixed-effects models.

 

Graphs showing two-stage designs

 

The extended two-stage methodology, described in a recent tutorial article, permits the analysis of associations characterised by combinations of multivariate outcomes, hierarchical geographical structures, repeated measures, and/or longitudinal settings. We have applied it in various epidemiological analyses, including for quantifying mortality impacts of heat and cold, investigating air pollution effects clustered at multiple geographical levels and how they differ according to the atmospheric composition, assessing differential risks by age and geographical areas, quantifying excess mortality during the COVID-19 outbreak, and estimating the role of air conditioning in attenuating heat-related mortality.

 

Interrupted time series design

Graph showing interrupted time series

Interrupted time series (ITS) analysis is a valuable study design for evaluating the public health interventions. Its quasi-experimental nature allows quantifying effects of policies or events using a pre-post comparison while controlling for temporal trends.

We first illustrated the application of the ITS method for epidemiological analysis in a tutorial article that discussed design features and assumptions. Specific methodological contributions focused instead on model selection and the use of controls. The EHM-Lab has contributed to several applications of the ITS design, for instance for assessing the association between smoking bans and cardiovascular risk, the effect of the financial crisis on suicides, the impact of media coverage on the use of statins, the relationship between self-defence laws on firearm-related homicides, the effect of taxation on the sales of sugar-sweetened beverages, the impact of healthcare reforms on hospital care, and the excess mortality during the COVID-19 outbreak.

 

The MCC Network

The EHM-Lab coordinates the Multi-Country Multi-City (MCC) Collaborative Research Network, an international collaboration of research teams aiming to produce epidemiological evidence on associations between environmental stressors, climate, and health. The research program benefits from the use of the largest dataset ever assembled for this purpose, including information on environmental exposures, health outcomes, and climate projections from hundreds of locations within several countries around the world. A recent article by the EHM-Lab illustrates the collaborative framework, the MCC database, as well as past and future research plans of the MCC Network.

Multi-Country Multi-City (MCC) Collaborative Research Network - map

 

Temperature and climate in MCC

Multiple graphs showing the relationship between number of deaths and temperature in 13 cities around the world, with varied results

Through MCC, the EHM-Lab has led epidemiological analyses in several research areas. Initial studies focused on temperature-related risks, first with the quantification of health impacts of heat and cold, followed by the analysis of long-term and seasonal variations in risks. Other investigations analysed more specific aspects, such as the role of humidity and inter/intra-day variabilitylong-term effectsage and cause-specific risks (including stroke), and the minimum-risk temperature.

Further studies have focused on temperature-related health impacts of climate change. Initial impact assessments projected the mortality burden under future scenarios and for global temperature thresholds. Two seminal studies then quantified the impact of human-induced climate change in the historical period, and contrasted changes in cold vs heat-related mortality under climate, demographic, and adaptation scenarios.

 

MCC studies on air pollution and other risk factors

Line graph showing a positive relationship between percentage difference mortality and PM2.5 concentration

More recent investigations by the MCC Network assessed short-term risks of air pollutants in the largest multi-country analyses ever published. Works led by the EHM-Lab include studies on particulate matter (PM10 and PM2.5, as well as PM2.5-10), ozone (O3), nitrogen dioxide (NO2), sulphur dioxide (SO2), and carbon monoxide (CO).

Further large multi-country investigations have examined differential mortality risks by pollution components, and then interactive effects of different pollutants. The MCC Network has also contributed research on COVID-19, specifically about the role of methodological factors on the SARS-CoV-2 transmission.

 

The UK Biobank

The UK Biobank (UKB) represents one of the largest and most used biomedical databases in the world, providing genetic, lifestyle and health data for half a million recruited participants. The EHM-Lab has heavily invested in building a framework for data linkage and analysis of the UKB cohort.

Complicated graph of extraction of exposure summaries for cohort designs

Initial works involved the linkage of environmental measures to the UKB cohort, creating individual-level daily and annual exposure series of air pollutants, temperature, and pollen by matching high-resolution gridded environmental data with detailed residential histories. This database has then been used in epidemiological analyses, first focused on long-term risks associated with fine particulate matter (PM2.5), interestingly adopting novel designs and statistical methods. An article presented the results of associations with cause-specific mortality, also featuring a reproducible example involving the innovative use of synthetic data. Another article investigated the risks of PM2.5 on hospital admissions for cardiovascular events.

 

Climate and health

Temperature and mortality

Map of Europe with different coloured dots clustered in different areas, ranging from light red (lower excess death rate) to dark red (higher excess death rate). Most of the darker dots are shown in Southern and Western Europe - Spain, Italy, and Greece.

Non-optimal outdoor temperature is one of the leading causes of health burdens attributed to environmental factors, with both heat and cold associated with substantial impacts on mortality and morbidity. The EHM-Lab has led this research topic by developing state-of-the-art statistical frameworks and study designs, followed by applyications in substantive studies.

A seminal article by the EHM-Lab first presented a multi-country analysis of excess mortality due to heat and cold, while other contributions assessed long-term effectsimpact of heat waves, and risks for cause-specific mortality. The modelling framework has been extended in recent years, as illustrated in a more recent analysis of 854 urban areas across Europe, and in a small-area study of temperature-related risks. Parallel work has focused on the study of the optimal temperature across populations, first with a methodological contribution and then with a global analysis of the minimum mortality temperature (MMT). Another analysis evaluated the use of excess winter deaths as an impact measure for public health.

 

Analysis of vulnerability and adaptation factors

7 graphs showing increased relative risk after 90th percentile of summer temperature in 1993 and 2006 in 7 countries - Australia, Canada, Japan, South Korea, Spain, UK and USA.

Health impacts of environmental and climate stressors vary dramatically both geographically and temporally, due to changes in vulnerability within and between populations. The issue is of primary interest for the definition of public health policies, in particular for identifying effective adaptation pathways to reduce the impact of climate change.

The EHM-Lab has provided several contributions to characterise differential vulnerability to heat and cold and to study potential adaptation strategies. We first assessed long-term variations in mortality and then acclimatisation processes leading to changes in risks within a season. We then investigated adaptive mechanisms related to heat and cold in a changing climate. Furthermore, we evaluated vulnerability factors responsible for differential risks of heat and cold, and the specifically assessed the role of air conditioning in decreasing heat impacts. We also linked large-scale climatic teleconnections to annual variations in heat-related deaths. Finally, we explored ways to determine real-time health impacts for national heatwave plans.

 

Health impact projections of climate change

Climate change is the defining global issue of our time. A critical step in climate change research is to project impacts under different scenarios of greenhouse gas emissions, which should in turn inform alternative adaptation and mitigation policies. The EHM-Lab has contributed substantially to this topic.

9 graphs showing projections of cold- and heat-related mortality in different regions

We first developed a modelling framework for health impact projections, illustrated in a tutorial article that described the various steps and methodologies. We then applied such framework in applied studies to quantify the excess mortality due to heat and cold, both under various emission scenarios along the 21st century and then for global mean temperature thresholds. More recent studies assessed the contribution of anthropogenic emissions to heat-related excess mortality in the historical period, and then the contrasting changes in cold vs heat-related mortality under future scenarios.

 

Temperature indices and risk forecasts

The assessment of climate-related health impacts requires the analysis of various weather indices. In addition to daily measures of dry-bulb temperature, the scientific literature includes studies on various indicators, which can inform both the definition of specific physiological pathways and the better characterisation of susceptibility profiles.

Flow chart detailing an assessment of climate reanalysis data

The EHM-Lab has led various epidemiological analyses on various weather indices, including assessment of the role of humidity in enhancing mortality risks, associations with alternative measures such as inter/intra-day variability, composite indicators such as the universal thermal climate index (UTCI), and the identification of optimal stress metrics across countries. Another important contribution was the assessment of climate reanalysis data for performing epidemiological studies on temperature-related risks.

Further studies have focused on health impact forecasts. A first contribution evaluated methods for near real-time assessment of heat-related mortality. A following study presented an operational framework for real-time health impact forecasts during heat waves.

 

Air pollution

Global studies on short-term risks of air pollutants

Graph showing the relative risk per 10 microgram/metre cubed increase in ozone in different countries

The EHM-Lab has led the largest epidemiological studies on short-term risks of air pollutants using a multi-country database collected within the MCC Network (see also the related section above). These include global analyses on particulate matter (PM10 and PM2.5, as well as PM2.5-10), ozone (O3), nitrogen dioxide (NO2), sulphur dioxide (SO2), and carbon monoxide (CO). The team applied state-of-the-art study designs and statistical methods to investigate the shape of the exposure-response, lag structures, and variation in vulnerability across populations. These studies were paramount in the revision of the air quality guidelines by the World Health Organization (WHO) in 2021 and the establishment of new recommended limits for several air pollutants.

 

Differential risks, interactive effects, and policy evaluation

Other investigations led by the EHM-Lab have focused on more specific aspects of air pollution epidemiology. A study performed a compositional analysis on PM2.5-mortality associations within a two-stage assessment of time series data from 210 locations, revealing that a differential proportion of PM2.5 components was able to explain a large part of heterogeneity in risks. Other multi-country studies examined interactive effects, first investigating synergistic risks of PM2.5 and ozone on total and cause-specific mortality, and then assessing the joint effects of heat and various air pollutants. In another study, the EHM-Lab applied innovative methods to inspect the impact of lockdown policies in reducing air pollution and related mortality in Europe during the COVID-19 pandemic, showing differential impacts dependent on the stringency and type of interventions.

Graph showing NO2 change for Stockholm, London and Milan
Spatio-temporal exposure modelling

An original line of research pursued by the EHM-Lab is related to the development and application of spatio-temporal models to reconstruct exposure to environmental stressors. Specifically, in recent studies, the team coupled highly predictive machine learning (ML) algorithms with extensive collections of ground monitoring observations, satellite-derived products, climate reanalyses and chemical transport model datasets, and traffic and land-use data to map levels of air pollutants across Great Britain. A first contribution applied a spatio-temporal random forest model to reconstruct daily PM2.5 concentrations over a 1x1-Km grid in 2008-2018, reaching an excellent predictive performance. A second study extended and improved the analysis by developing an ensemble model featuring multiple ML algorithms (random forests, extreme gradient boosting, and light gradient boosting machine) to obtain daily maps of various pollutants (NO2, PM2.5, and PM10) in the period 2003-2021.

3 maps of the UK with different concentrations of colour, focused around major cities representing PM2.5 pollution

 

Resources
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The EHM-Lab has produced a set of openly accessible resources which can be explored in full at ehm-lab.github.io.

Resources include datasets, code repositories linked to tutorials and published analyses, R packages and other software tools, and web apps to showcase research outputs. Specifically:

Code repositories: a set of repositories stored in the EHM-Lab’s GitHub webpage. Each repository includes code (and optionally data) to reproduce (in full or in part) tutorials on specific methodologies or published epidemiological analyses. Links to full-text versions of the publications are included in the repositories.

Data: a series of entire databases produced by the EHM-Lab and made available freely in open-access form. These databases contain input data, results, and synthetic datasets linked to specific publications. They can be used to replicate epidemiological analyses, to showcase and disseminate results, or for further research.

Web apps: web tools created by the EHM-Lab using R-Shiny and released as interactive apps. They allow users to explore results from epidemiological analyses using maps and tables, and to download selected or entire sets of data.

R Packages: packages for the R software developed by members of the EHM-Lab, released in the Comprehensive R Archive Network (CRAN). Links to the official CRAN webpages and the development versions in related GitHub pages are provided.

Publications
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Updates List
Projecting climate change impacts on health: A tutorial integrating the latest climate and demographic scenarios

Projecting the health impacts of anthropogenic climate change -involving epidemiological models,  and data from climate change and demographic scenarios, can be a daunting task. Moreover, the interpretation of impact projections remains methodologically complex, highlighting the need for a structured guidance. A new study for conducting health impact projection studies published in Environmental Epidemiology addresses this requirement. Involving EHM Lab researchers Dr. Pierre Masselot and Prof. Antonio Gasparrini, the step-by-step tutorial provides a practical workflow for projecting climate-related health impacts that jointly incorporates climate and demographic scenarios, addressing a critical methodological gap in environmental epidemiology. By providing fully reproducible R code and open-access data, the tutorial allows researchers and policymakers to generate robust, transparent, and policy-relevant projections, supporting evidence-based adaptation and mitigation strategies in the context of climate change.

An attribution study of the impactful extreme heat across Asia in 2024

Extreme heat episodes are intensifying across several regions globally. Yet detangling the role of anthropogenic climate change in increasing the likelihood and intensity of such prolonged extreme heat events remains a challenging attribution exercise. Focusing on the impactful extreme heat across Asia in 2024, a new attribution study involving EHM Lab researcher Dr. Malcolm Mistry published in Weather and Climate Extremes, demonstrates the role of anthropogenic climate change in amplifying the 2024 Asian heat event, highlighting an urgent need to address escalating heat-related risks.

Expert comment highlights player safety risks from extreme heat ahead of World Cup

Dr Malcolm Mistry, Assistant Professor in Climate and Geo-spatial Modelling in the Environment and Health Modelling Lab at LSHTM recently contributed to an expert call for stronger heat safety measures ahead of the 2026 FIFA World Cup in the US, Canada and Mexico. Alongside leading scientists and medical experts, he warned that rising temperatures and humidity could pose serious risks to player health, particularly during high-intensity outdoor sport.

Highlighting the growing challenge of extreme heat in a warming climate, Malcolm said: “The science is clear: once heat stress exceeds certain thresholds, it cannot be mitigated by short breaks alone.” The experts are urging FIFA to align tournament protocols with the latest evidence on heat stress and athlete safety.

Read the full article

Weather, air pollution, and migraine: A case-time series analysis examining environmental exposures and transient health outcomes recorded via smartphone application

A new study involving EHM Lab researcher Prof. Antonio Gasparrini published in Environmental Epidemiology examines the associations between multiple environmental exposures and migraine events captured using a smartphone app in the province of Ontario, Canada. Using local daily weather and pollution estimates for 2017–2019, and the Migraine Buddy app, the authors utilised records from nearly 7,400 research-consenting participants. Associations between environmental exposures and migraine attack onsets were then examined with case-time series lagged multipollutant models, accounting for demographic and temporal covariates. The authors conclude that the onset of migraine was associated with key environmental determinants, namely, higher NO2 and O3, colder winter weather, and changes in the barometric pressure.

Cardiovascular prevention in a changing climate

Climate change is intensifying exposures that may act as cardiovascular risk factors. Yet preventive cardiology has not systematically assessed how these exposures interact with established risks. A new viewpoint involving EHM Lab researcher Prof. Antonio Gasparrini published in the European Journal of Preventive Cardiology, pushes for a research agenda that moves beyond mortality to capture morbidity and early disease trajectories. Outlining three key challenges for preventive cardiology in the era of climate change, the authors propose pragmatic directions for clinical and public health action.

The burden of premature births attributed to heat across 13 countries

A new study co-authored by EHM Lab researcher Prof. Antonio Gasparrini in Environment International analysed heat-related preterm births (PTB) using harmonized individual-level data. The authors analysed ~36.5 million births occurring during the warm season across 250 locations in 13 countries to assess heat effects on PTB. Importantly, the analysis accounted for various individual characteristics that influence heat-related PTB. The study finds that an increased PTB risk is associated with heat, with variations across countries and climates. Additionally, vulnerability was found to be higher in younger, single, socioeconomically deprived mothers, and in female fetuses. The authors argue for better interventions required to reduce the heat-related burden on maternal health.

The burden of heat-related mortality attributable to recent human-induced climate change’ finds mention in Nature Climate Change 15th anniversary collection

As part of its 15th anniversary, the prestigious journal of Nature Climate Change (NCC) has been looking back on some of the published studies that have made a lasting impact on Early Career Researchers (ECRs). As part of this, the journal reached out to ECRs, and asked them to share their opinions on one or more papers from NCC that impacted their careers or research. The 2021 global climate-health attribution study “The burden of heat-related mortality attributable to recent human-induced climate change” co-authored by EHM Lab researcher Prof. Antonio Gasparrini, was chosen by as one of the articles by the ECRs to write on.

Read the full 2021 study, and the reflection by ECRs.

NHS Health Checks are associated with improved survival in an ethnically diverse cohort

A new study involving EHM Lab researcher Dr. Pierre Masselot published in the British Journal of General Practice evaluates the effectiveness of NHS Health Checks (NHS-HC) in reducing all-cause mortality. Using electronic primary care records and a Longitudinal cohort design for the borough of London, the authors analysed data for 158,645 eligible participants covering 2009–2023. The findings suggest significant long-term survival benefit associated with the NHS-HC, supporting continued investment in and optimisation of the programme to provide population health benefits.

The association between ambient temperature and hypoglycemia in people living with Type 1 diabetes: a case time series analysis using real-time continuous glucose monitoring

Higher ambient temperature is thought to increase the odds of hypoglycemia developing in adults. A new study involving EHM Lab researchers Dr. Harriet Daultrey, Arturo De La Cruz Libardi and Prof. Antonio Gasparrini published in the American Diabetes Association journal Diabetes Care, explored the short-term association between ambient temperature and risk of hypoglycemia in adults with type 1 diabetes mellitus (T1DM). Adjusting for long-term trends, seasonality, day of the week, and public holidays, the study employed a quasi-binomial fixed-effect regression with distributed lag nonlinear models to estimate potentially nonlinear and lagged risks of non-optimal temperature on hypoglycemic episodes. Analysing a total of 32,966,282 glucose readings from 679 adults with T1DM attending two National Health Service clinics in Sussex, England, between 2017 and 2024, the study concluded that elevated ambient temperature significantly increases the short-term risk of hypoglycemia in adults with T1DM, though the authors caution that the findings are specific to the U.K. population and climate, which may limit generalizability.

Read the news article

Europe's heat and fire crisis and the new fossil-fuel surge from artificial intelligence

A thought-provoking new commentary co-authored by EHM Lab researcher Prof. Antonio Gasparrini in the European Heart Journal highlights how rapid global expansion of Artificial Intelligence (AI) is driving a dangerous surge in fossil-fuel consumption, directly undermining efforts to mitigate the escalating cardiovascular health crisis across Europe. While Europe recorded a total of ~ 100,000 heat-related deaths in 2022 and 2023 alone, the authors highlight that the energy-hungry demands of AI data centers are forcing a structural dependence on coal and gas to maintain uninterrupted power. Further, the authors argue that current corporate "greenwashing" through financial carbon credits fails to address the physical reality of grid emissions, and they call for an urgent policy overhaul that integrates healthcare costs into energy and infrastructure planning to protect the continent's aging and vulnerable populations.

Variation in reporting of heatstroke mortality: evidence from a multi-country study

New research involving EHM Lab researchers Dr. Pierre Masselot and Prof. Antonio Gasparrini, published in The Lancet Public Health provides the first broad assessment of heatstroke mortality across 34 countries from 2000-2022.

The findings reveal stark geographical disparities. Japan reported the highest rate (5.81 per million), followed by Cyprus and China, while most of Europe, South America, and SE Asia recorded rates below one death per million.

Critically, the study highlights that formally reported heatstroke represent only a fraction of overall heat-attributable mortality, with the proportion ranging from less than 1% in many countries to nearly 24% in Japan. When focusing on extreme heat days, this share increased substantially. This variability likely reflects differences in diagnostic practices, reporting, and health system capacity rather than just climate exposure alone. As global temperatures rise, understanding these nuances in how we identify and record heat-related deaths becomes essential for effective public health policy.

Greening mitigates heat-related mortality in Paris

A new study involving EHM Lab researchers Dr. Pierre Masselot and Prof. Antonio Gasparrini, published in NPJ Urban Sustainability offers evidence of the benefits of urban vegetation in reducing heat-related mortality. Analysing a decade of data across Paris districts, the study found that areas with more green areas have significantly lower heat-related mortality.

Crucially, trees outperform grass in protection, and the benefits extend beyond cooling—likely improving pollution and mental health. With some districts having just 1.4% of green space, the study emphasises the need to establish policies to increase presence and access to green areas. Modelling shows that if all areas matched the greenest (20%), a third of heat-related deaths could be prevented.

The joint impact of temperature, humidity, and air pollution on COVID-19 incidence: a multi-country time-series study in 439 cities

The study involving EHM Lab researchers Dr. Malcolm N. MistryDr. Pierre Masselot and Prof. Antonio Gasparrini published in the Environment International explored the short-term effects of environmental stressors on coronavirus disease 2019 (COVID-19) transmission and severity. Motivated by the limited evidence on the interactive effects of meteorological conditions and air pollution, the study aimed to quantify the independent and interactive effects of short-term exposure to humidex, a composite index of temperature and relative humidity, and fine particulate matter ≤ 2.5 μm (PM2.5) on daily COVID-19 incidence across multiple cities and in multiple countries. Focusing on 439 cities in 22 countries during January 2020–August 2022, and employing state-of-the-art empirical methods, the study found short-term exposure to cold–dry conditions and elevated PM2.5 independently increased COVID-19 incidence, highlighting the need to consider both thermal environment and air quality when designing climate-resilient public health responses. These findings enhance understanding of how climate-related environmental stressors influence COVID-19 transmission.

The future of European outdoor summer sports through the lens of 50 years of the tour de France (TdF)

A new study involving EHM Lab researcher Dr. Malcolm N. Mistry, published in Nature Scientific Reports examines the heat stress during key TdF stages dating back to 1973. While the riders have largely managed to avoid the peak heat episodes thanks to the stage dates and unfavourable heat stress conditions (fortunately) not coinciding in the recent 50 years of the iconic race, recent trends in heat stress are anything but alarming. The high intra-day heat stress across most frequently visited locations may require the race organisers to plan the annual event better.

Tree pollen and asthma-related hospital admissions in England: a national case time series analysis

A new study in Environment International led by Dr. Rebecca Cole and involving other members of the EHM Lab, used high-resolution environmental and health data to investigate how alder and birch pollen affect asthma-related hospital admissions across England. The authors linked national hospital records (2008–2022) with detailed pollen exposure data (10 km resolution) and found that moderate levels of tree pollen are associated with increased asthma admissions, especially in children. This association showed a non-linear pattern, with risks rising at lower pollen concentrations and attenuating at higher levels. The study was made possible by the availability of new, spatially complete, daily pollen data at an appropriate spatial resolution.

The effectiveness of heat prevention plans in reducing heat-related mortality across Europe

A new study published in Environmental Research Letters (ERL), involving EHM Lab researchers Dr. Pierre MasselotDr. Malcolm Mistry and Prof. Antonio Gasparrini highlights the importance of heat prevention plans (HPP) in saving lives across Europe. Analysing daily temperature and mortality data from 102 locations in 14 European countries over nearly three decades, the study finds that HPP significantly reduce deaths during extreme heat events across Europe. The research involving international collaboration with experts from Czech University of Life Sciences Prague (Czech Republic), Doñana Biological Station CSIC (Spain), and the MCC Collaborative Research Network coordinated by the LSHTM, assessed how heat-related mortality changed after the introduction of national and regional heat prevention plans, which typically include early warning systems, public communication, protection of vulnerable populations and adaptations in healthcare services. The results provide clear evidence that heat prevention plans are effective public health tools, with (on average) a reduction of more than 25% in excess mortality during extreme heat post-implementation. This reduction corresponds to approximately 1.8 avoided deaths per 100,000 inhabitants per year, amounting to over 14,000 lives saved across the analysed regions.

EHM Lab led study ranks among top 10 influential climate papers in 2025

CarbonBrief; a UK-based website that provides clear, data-driven analysis, news, and fact-checks on climate science, energy policy, and climate change, has ranked the EHM Lab led study as the 7th most influential climate paper in global media for 2025. The study “Estimating future heat-related and cold-related mortality under climate change, demographic and adaptation scenarios in 854 European cities” involving EHM Lab researchers Dr. Pierre MasselotDr. Malcolm Mistry and Prof. Antonio Gasparrini, was published in the journal Nature Medicine.

Read more on the CarbonBrief analysis.

Association between air pollution and Monday peak mortality from Acute Myocardial Infarction

Mortality from acute myocardial infarction (AMI) is known to exhibit a weekly pattern, with a peak occurring on Mondays. Although several hypotheses have been proposed, the effect of air pollution on this peak has not yet been investigated. Utilising 260,320 AMI death records in Spain from 2004 to 2018 from the Spanish National Institute of Statistics, the study in the Journal of the American College of Cardiology (JACC) Advances involving Prof. Antonio Gasparrini from the EHM Lab examined if the daily variation in major air pollutants modifies the risk of AMI mortality on Monday. The results from the study suggest that the excess AMI mortality observed on Mondays in the Spanish population is not explained by concurrent variations in major air pollutants.

Community-level risk factors for temperature-related mortality in France

Vulnerability to nonoptimal temperatures varies from one geographical location to another, but the contextual factors accounting for these spatial differences are still poorly understood. A new country-wide analysis involving EHM Lab researchers Dr. Pierre Masselot and Prof. Antonio Gasparrini  published in the journal Environmental Epidemiology, aimed to identify the community-level characteristics contributing to geographical disparities in heat-related and cold-related mortality risk in France. The findings from the study suggest that urban areas in France are more vulnerable to heat, compared to rural communities, and that this disparity is probably driven by air pollution (nitrogen dioxide -NO2) and urban heat island. Reducing air pollution and mitigating urban heat island should be at the forefront of adaptation strategies to prevent heat-related health impacts as recommended by the authors.

Mortality impacts of long-term PM2.5 and NO2 exposure in Great Britain under national and international air quality limits

Fine particulate matter with an aerodynamic diameter smaller than 2.5 μm (PM2.5) and nitrogen dioxide (NO2), are among the most hazardous pollutants that are known to contribute to substantial excess mortality in Europe. A new study involving EHM-Lab Lab researchers Dr. Pierre Masselot and Prof. Antonio Gasparrini published in the Journal of Atmospheric Pollution Research, analysed concentrations and associated long-term premature mortality across Great Britain. The data spanning 2008-2018 for the two pollutants were examined in relation to multiple AQ limits, as determined by WHO guidelines and international/national regulations. The study finds that the levels below the new, lower WHO guidelines for PM2.5 and NO2 were reached in only a handful of locations. Importantly, the study also reports that exposure to PM2.5 in 2018 resulted in 36,403 (30,422–42,640) premature deaths, whereas NO2 exposure contributed to 20,175 (7125–32,281) premature deaths.

Mortality risks associated with short-term exposure to ultrafine particles in London and the West Midlands

A new study by Devon NenonProfessor Antonio Gasparrini and Dr Pierre Masselot from the EHM Lab offers a nuanced perspective on ultrafine particles (UFP) and health. This major UK time-series study of over 850,000 deaths found that short-term exposure to UFP was not detectably associated with increased mortality in London and the West Midlands (2003-2018). These findings are crucial for public health and environmental policy, emphasising the need to refine our understanding of which particulate metrics are most harmful. This study underscores the complexity of air pollution toxicity and the need for continued, location-specific research.

Read the full study. The data and code for assembling the main dataset and analysing associations with non-accidental mortality are provided in a GitHub repository.

Heat impacts on health in Scotland

A new report by Public Health Scotland provides the first comprehensive analysis of heat impacts on health in Scotland. The report, building on contribution from EHM-Lab researcher Professor Antonio Gasparrini, highlights the estimated heat impacts on mortality in Scotland during the summer months (from June to September) over the last 20 years (2005-2024). A range of risk thresholds for heat attributable deaths are presented and an initial analysis of the differential impact of heat across demographic groups is also reported.

Read the report

Summer 2025 heat deaths in 854 European cities more than tripled due to climate change

A new rapid climate attribution analysis estimates nearly 24,400 heat-related deaths across 854 European cities in the 2025 summer. The assessment led jointly by Grantham Institute (Imperial College, London) and EHM-Lab researchers Dr. Pierre MasselotDr. Malcolm Mistry and Prof. Antonio Gasparrini  found anthropogenic climate change was responsible for around 16,500 (68%) of the 24,400 estimated heat-related deaths. 
The report highlights how even small increases in temperature can result in thousands of avoidable deaths – with older adults particularly vulnerable. The findings raise urgent questions about protecting Europe’s aging population, which is especially vulnerable to extreme heat.

Read the full report here and a further explanation by way of Q&A here.

Confounding mechanisms and adjustment strategies in air pollution epidemiology: a case study assessment with the UK Biobank cohort

New study co-authored by Prof. Antonio Gasparrini from the EHM Lab describes a theoretical and empirical assessment of confounding in cohort analysis of environmental factors using direct acyclic graphs (DAGs), extended Cox regression, and Distributed Lag Non-Linear Model (DLNM). The two key results include:

  • Strong residual spatial confounding, with risk of mortality reversing when stratifying for assessment centre
  • Importance of controlling for individual-level lifestyle factors, challenging established arguments about their (lack of) potential confounding effects

The analysis can be replicated step-by-step in full using a synthetic dataset and R code provided along with the study.

Read the full study here

New multicountry study provides evidence of mortality impacts from BTEX pollutants Benzene, toluene, ethylbenzene, and xylene isomers (BTEX) are air pollutants originating from vehicle emissions, coal combustion and biomass burning

A new study published in The Lancet Planetary Health, involving Prof. Antonio Gasparrini and Dr. Pierre Masselot from the EHM Lab evaluates the impact on mortality from these pollutants. Using a well-established methodological framework for multi-location studies in environmental epidemiology, the researchers found a robust association between exposure to BTEX and increased mortality levels. The study also shows unequal vulnerability to BTEX exposure between countries, with high risks of overmortality in Mexico, China, Thailand and the Philippines.

Read the full study here.

New perspective article highlights the global fragmented landscape of extreme heat services and warning systems

A new article co-authored by EHM-Lab researcher Dr Malcolm Mistry highlights how extreme heat warning systems, despite expanding globally, are often conceptually fragmented and operationally diverse. Published in Environmental Research Letters (ERL), the authors trace the roots of this fragmentation, in particular, the incompatible definitions and thresholds. They then propose a clear typology of heat indices aligned with the World Meteorological Organization (WMO) framework. The underlying recommendations are aimed to help national meteorological and health authorities to improve coordination for reducing health and societal impacts, as well as accelerate progress under global frameworks such as the UN’s Early Warnings for All initiative.

Read the publication

Projections of heat related mortality under combined climate and socioeconomic adaptation scenarios for England and Wales

A recent study led by EHM-Lab researcher Dr Rebecca Cole projects increases in heat-related mortality under UK-specific climate, population and socioeconomic scenarios. The study found that annual deaths could rise sixfold even with strong mitigation (RCP2.6–SSP1) due to population ageing and locked in climate warming. Whilst low mitigation and high population growth scenarios  could see heat-related mortality rise by approximately 50 times in England and Wales.

Dr Rebecca Cole, lead author of the study from the EHM-Lab at LSHTM, said: “Increases in heat-related deaths are not just a consequence of rising temperatures – they’re also driven by how we build our cities, care for vulnerable populations and address social inequality. Concerted adaptation strategies are required, well in excess of those over recent years.”

 

Climate change tripled heat-related deaths in early 2025 summer European Heatwave

A rapid heat-mortality attribution analysis led jointly by the EHM-Lab and the World Weather Attribution group (WWA, Imperial Grantham Institute) estimated that climate change may have tripled the number of expected heat-related deaths during the June 23 – July 02, 2025 European heatwave. The researchers examined the influence of anthropogenic climate change in intensifying the heatwaves and the subsequent burden on mortality over 12 major cities across Europe. Read more here on the first rapid analysis to estimate number of heatwave deaths linked to climate change. The analysis builds on the earlier epidemiological framework led by EHM-Lab researchers -Dr. Pierre Masselot, Dr. Malcolm N. Mistry and Prof. Antonio Gasparrini.

Real-time rapid analysis highlights nearly 600 heat-related deaths expected during the 19-22 June heatwave in England & Wales

Following an earlier study published in 2024 by EHM-Lab researchers Dr Malcolm Mistry and Professor Antonio Gasparrini, the tool developed to predict temperature-related mortality at small geographic scales over England & Wales, was implemented in real-time for the first time in 2025. Using the ECMWF temperature forecast for 19-22 June 2025, the modelling framework was used to forecast the expected heat-related excess-deaths to complement the existing amber heat-alerts issued by the UKHSA-UKMO. The results of the analysis described in a joint report with Imperial College Grantham Institute - Climate Change and the Environment, London, highlights the contrast in expected heat-related excess-deaths across various age categories, and importantly, at smaller local administrative units in the two countries. Read more in the following LSHTM news article

New study highlights the potential of greenness to reduce heat-related mortality

A recent study co-authored by Dr Malcolm Mistry and Professor Antonio Gasparrini, researchers from the EHM-Lab at the London School of Hygiene & Tropical Medicine (LSHTM), highlights the important role of greenness in reducing heat-related mortality.  The research, published in The Lancet Planetary Health estimates that increasing vegetation cover by 10-30% could reduce the global population-weighted mean temperature during the warm season by 0.08-0.19°C, which in turn could prevent approximately 0.86-1.16 million deaths—corresponding to nearly 27.2-36.7% of all heat-related deaths during the study period of 2000-2019.

Dr Malcolm Mistry, co-author of the study from the EHM-Lab at LSHTM, said: “Greenness, such as trees are known to be a highly effective strategy for mitigating the health impacts of warm temperatures. However, previous studies have likely underestimated its protective effects. Our modelling results show the reduction in excess deaths from heat under different scenarios of incremental change in greenness. Enhancing and maintaining green spaces can be effective strategies for lowering ambient temperatures and mitigating the health risks associated with heat exposure”.

Read the publication.

Sample code tutorial for environmental exposure linkage in cohort studies

We have just updated our recent work from the EHMLab, first-authored by Jacopo Vanoli, published in the Journal of Exposure Science & Environmental Epidemiology. This contribution presents a linkage framework which can be used to assign individual-level environmental exposures to population-based cohorts using high-resolution spatio-temporal exposure. We have now added a simple tutorial demonstrating how to reconstruct individual-level exposure profiles using residential data. The tutorial includes simple synthetic data and R scripts in a GitHub repository, making the process completely reproducible. The example is straightforward but leverages computationally optimised packages, making it easy to adapt for large-scale analyses.

Access the GitHub repo

Expert comment on the plan for a new Health Data Research Service in the UK

On Monday 7 April, the UK Government announced the creation of a new system for the access and analysis of data collected through the National Health Service (NHS). The system, currently known as the Health Data Research Service, will look to provide researchers with a single location and route to access health data, simplifying access to a range of datasets such as primary care, hospital and mortality data. Prof Antonio Gasparrini, lead of the EHM-Lab, offers an expert view on the new system, hailing it as a game-changer for health research, allowing access to a whole range of linked data on health conditions, medications, as well as socio-economic and lifestyle characteristics.

Read the expert comment.

EHM-Lab proposes new modelling framework to improve multi-location studies in environmental epidemiology

A new study in Statistical Methods in Medical Research presents innovative modelling techniques tailored to analysing environmental epidemiology across multiple locations. Traditional models often struggle to account for differences in environmental exposures, climate conditions, and population characteristics between regions, leading to inconsistencies in risk assessments. The new framework, proposed by Dr Pierre Masselot and Professor Antonio Gasparrini from the EHM-Lab at LSHTM, improves how spatial variations are handled, allowing for better estimates of the health impacts of factors like air pollution, extreme temperatures, and other environmental hazards. By improving the way location-specific factors are incorporated into analysis, these methods can provide more accurate and reliable insights, ultimately strengthening public health research and informing more targeted policies.

Read the publication.

New commentary calls for health-equitable climate adaptation in Northern Europe

A new commentary in the Scandinavian Journal of Public Health highlights the urgent need for climate adaptation policies in Northern Europe that prioritise health equity. While the region benefits from strong public services, socioeconomic disparities still drive unequal health outcomes, particularly among migrants and disadvantaged groups. The authors, including Professor Antonio Gasparrini and Dr Pierre Masselot from the EHM-Lab at LSHTM, emphasise that both heat and cold-related mortality disproportionately affect these populations. Key recommendations include integrating health into climate adaptation plans, building climate-resilient communities, and developing inclusive surveillance and health systems. These steps are crucial for ensuring vulnerable groups are not left behind in climate adaptation efforts. The study also calls for greater research into the intersection of climate change, migration, and health to better safeguard at-risk communities.

Read the publication.

New study predicts that rise in heat deaths will substantially outweigh fewer cold deaths

A recent study, led by researchers from the EHM-Lab at LSHTM including Dr Pierre Masselot, Dr Malcolm Mistry and Professor Antonio Gasparrini, finds that climate change is likely to cause a significant increase in heat-related deaths across Europe, substantially surpassing any decrease in cold-related deaths. The research, published in Nature Medicine estimates that changes to the climate could directly result in over 2.3 million additional temperature-related deaths in 854 European cities by 2099 if urgent action is not taken to cut carbon emissions. However, up to 70% of these deaths could be prevented if rapid action is taken.

Dr Pierre Masselot, lead author at the EHM-Lab at the London School of Hygiene & Tropical Medicine (LSHTM), said: “Our results stress the urgent need to aggressively pursue both climate change mitigation and adaptation to increased heat. This is especially critical in the Mediterranean area where, if nothing is done, consequences could be dire. But, by following a more sustainable pathway, we could avoid millions of deaths before the end of the century.”

Read the full article from LSTHM, or the publication.

LSHTM to host upcoming seminar series on 'Causal Inference in Environmental Epidemiology'

This seminar series, delivered by the Centre for Data & Statistical Science for Health (DASH) and co-organised by Dr Pierre Masselot from the EHM-Lab at LSHTM, will use real-world examples and critical discussions to explore challenges in assessing causality in environmental epidemiology, and highlight innovative approaches to improve public health insights.

The series includes three virtual seminars given by speakers from Harvard Medical School, Harvard T.H. Chan School of Public Health and North Carolina State University, followed by a fourth internal LSHTM panel discussion event. These seminars are open to anyone within and beyond LSHTM interested in the topic, and we hope that you can join us for some insightful discussions.

Please find more information about the individual events below:

  • 22 January from 15.00-16.00 GMT (external): Causal inference in environmental health: Dr Marie-Abèle Bind, Assistant of Investigation at the MGH Biostatistics Center and an Assistant Professor at the Harvard Medical School, will discuss how causal inference is essential for understanding how environmental exposures impact health.
  • 29 January from 15.00-16.00 GMT (external): Innovative methods for studying the health effects of air pollution: Dr Heejun Shin and Michael Cork from Harvard T.H. Chan School of Public Health will explore some essential methods for researching health problems associated with air pollution.
  • 12 February from 15.00-16.00 GMT (external): Mitigating spatial confounding in observational studies (more details TBA on the DASH website)
  • 18 February from 12.45-13.50 (internal): Causal inference in environmental epidemiology panel session (only LSHTM members – more details TBA on the LSHTM Intranet)
Heat-related deaths in major global cities could surpass annual COVID-19 deaths within a decade, new study suggests

The health impacts of climate change are often underestimated or thought of as a future problem, in contrast to the recent COVID-19 pandemic which was an unprecedented public health catastrophe causing substantial global mortality. A new study, published in Scientific Reports, shows that climate change poses an imminent health threat, with heat-related deaths in major global cities potentially surpassing COVID-19 deaths within a decade at +3°C of global warming. Using projections across 38 cities, the analysis co-authored by Professor Ben Armstrong, Professor Antonio Gasparrini and Dr Pierre Masselot from the EHM-Lab at LSHTM, indicates that current vulnerabilities could result in significant heat-related mortality burdens, particularly in Europe and North America. For 7 cities (Sydney, Tokyo, New York, Bangkok, Ho Chi Minh City, Manila, and Seoul), heat-related deaths could exceed COVID-19 deaths in less than five years. These findings highlight that every year of global warming is significant for human lives, and underscore the urgency of addressing climate change through ambitious climate action to safeguard human health globally. 

Read the publication.

Assessing the impact of long-term exposure to heat on mortality in Europe

The impacts of short-term exposure to heat are well documented, but longer-term effects of heat exposure have only recently received attention in the context of a changing climate. Recent research, co-authored by Professor Antonio Gasparrini and Dr Pierre Masselot from the EHM-Lab at LSHTM, examined the independent effects of long-term exposure to increased temperatures on all-cause mortality during warm periods in regions of the UK, Norway, Italy and Greece, from 1996-2018. The findings, published in Environmental Pollution, indicate an impact on mortality from longer-term heat exposure, but the relationship varies between countries and the specific temperature metrics used. The authors of the study recommend further research is needed, and should use non-ecological study designs and span several geographical areas in order to capture the impact of area-specific differences, and understand these associations better. 

Read the publication.

Study on the role of air pollution mixtures in PM2.5-related mortality assessments concludes the MCC Special Collection in Environmental Epidemiology

Fine particulate matter (PM2.5) is one of the most harmful environmental risk factors, worsened by ever-increasing global emissions. Yet, PM2.5 does not occur in isolation - it is part of a cocktail of pollutant gases with which it interacts, including ozone, nitrogen dioxide and sulfur dioxide, and its toxicity in a location is affected by the overall mixture in which it occurs. A recent study, concluding the MCC Special Collection in Environmental Epidemiology, explores how the complexity of air pollution mixtures (using the pollutant mixture complexity index, or PMCI) influences PM2.5-related mortality, i.e. toxicity. 

The research, led by Dr Pierre Masselot, and co-authored by Professor Antonio Gasparrini from the EHM-Lab at LSHTM, analysed data from 264 cities across the Northern Hemisphere, using the extensive Multi-Country Multi-City (MCC) database. The analysis revealed that a higher PMCI was associated with an increased risk of PM2.5-related mortality, highlighting that the local pollutant mix significantly influences PM2.5 toxicity. The PMCI also explained substantial within-country variations in health risks, and compared to alternative models, the PMCI emerged as a robust predictor of mortality risks, underscoring its potential for air quality monitoring. Authors emphasise the importance of considering air pollution as a complex mixture, rather than focusing on individual pollutants, and find that PMCI offers a promising tool for tracking and addressing air quality impacts globally, especially with advances in remote sensing.

Read the publication.

The complete MCC Special Collection is now published in Environmental Epidemiology, and includes 8 articles on the latest contributions from the MCC Network related to environmental health, highlighting the impact of this collaborative research approach on global health risks in the face of climate change.

Long-term exposure to fine particles from air pollution (PM2.5) linked to mortality in UK Biobank study

Long-term exposure to air pollution is widely recognised as a major risk factor for human health, even at very low concentrations, yet much of the evidence of long-term mortality risks from fine particulate matter (PM2.5) exposure comes from large administrative studies with incomplete information and limitations. Recent research, led by Jacopo Vanoli, and co-authored by Arturo de la Cruz Libardi, Dr Francesco Sera, Dr Pierre Masselot, Dr Malcolm Mistry and Professor Antonio Gasparrini from the EHM-Lab at LSHTM assessed long-term associations between time-varying PM2.5 exposure and mortality in the UK Biobank cohort. The analysis, published in Epidemiology, revealed an association between long-term PM2.5 exposure with all-cause, non-accidental, respiratory and lung cancer mortality, but not cardiovascular mortality. The study identifies how pollution and lifestyle factors interact, highlighting the value of detailed, long-term analyses and stressing the need for better pollution control to improve public health. 

Read the publication.

Authors call for greater inclusion of mental health in UK climate policies and regulations

The impacts of climate change-related extreme weather events are increasingly recognised as a threat to mental health in the UK, yet this risk is not fully reflected in relevant policy and regulatory frameworks. A recent study, published in The British Journal of Psychiatry, provides an overview of the integration of mental health within current climate policies and regulations in the UK, highlighting particular gaps and opportunities. The research, co-authored by Professor Antonio Gasparrini from the EHM-Lab at LSHTM, found almost no reference to the impacts of extreme weather on mental health, and authors call for mental health, climate and policy experts to work together to improve understanding and develop practical interventions that bring mental health within climate policy frameworks.

Read the publication

Around 1.5 million deaths globally per year associated with air pollution from landscape fires between 2000 and 2019, study suggests

Despite increasing awareness and concern of the public health impacts of air pollution caused by landscape fires (fires in any natural and cultural landscape, including wildfires and human-planned fires), little is known about the global, regional and national mortality burden caused by them.

A recent study, co-authored by Dr Malcolm Mistry and Professor Antonio Gasparrini from the EHM-Lab at LSHTM (on behalf of the Multi-Country Multi-City (MCC) Collaborative Research Network), aimed to address these research gaps by providing a comprehensive estimation of global mortality burdens caused by landscape fire-sourced (LFS) air pollution (PM2·5 and O3) from 2000-2019. The analysis, published in The Lancet, revealed that LFS air pollution caused 1.53 million deaths per year globally - 90% of which were in low- and middle-income countries, particularly in sub-Saharan Africa, southeast Asia and east Asia. The countries with the largest mortality burdens from LFS air pollution included China, the Democratic Republic of the Congo, India, Indonesia and Nigeria, and countries around the Mediterranean and North and Central America all showed increasing mortality trends from 2000-2019. By the end of 2019, the mortality rates caused by LFS air pollution in low-income countries remained four times those in high-income countries.

These findings demonstrate a significant global mortality burden from landscape fires, and highlight severe geographical and socioeconomic disparities. As wildfires increase in frequency and intensity as a result of worsening climate change, authors of the study urgently call for action to address the impact on climate-related mortality and related environmental injustice. 

Read the publication

Global study on the links between weather, immunity and COVID-19 incidence

New research published in Environmental Epidemiology aimed to further the understanding around environmental predictors of the spread of COVID-19 to reduce impact and burden on health systems, which has continued years after the pandemic began. The study, co-authored by Professor Ben Armstrong, Dr Malcolm Mistry, Dr Pierre Masselot and Professor Antonio Gasparrini from the EHM-Lab at LSHTM, analysed how meteorological factors, including temperature and humidity, alongside population immunity, influence COVID-19 incidence across 439 cities in 22 countries from 2020-2022. Findings suggest some weather conditions can affect transmission rates, for example at temperatures of 5°C, the risk of COVID-19 incidence was 1.22 times higher compared with a reference level of 17 °C, but no modifiying effect of vaccination rates and strains on the weather-COVID-19 association. This study strengthens previous evidence of a relationship between temperature, humidity and COVID-19 incidence, and could be used to more accurately estimate COVID-19 impacts under various environmental factors.

Read the publication.

Globally sustainable land-use has the potential to reduce future heat-related mortality

A recent study published as part of the MCC Special Collection in Environmental Epidemiology estimated the future impact of land-use and land-cover change (LULCC) on temperature related mortality. The authors used Multi-Country Multi-City (MCC) mortality data from 823 locations in 52 countries worldwide to model two contrasting future scenarios of LULCC: one with globally sustainable land use and socioeconomic development (sustainability); and one where sustainability is unequally distributed, and only implemented in the Organisation for Economic Cooperation and Development countries (inequality). The analysis, co-authored by Dr Pierre Masselot, Professor Antonio Gasparrini and Dr Malcolm Mistry from the EHM-Lab at LSHTM, revealed that unequal socioeconomic development and unsustainable land use could increase the burden of heat-related mortality in most regions, and globally sustainable land has the potential to reduce it in some locations, although the total impact on mortality is dependent on the underlying climate change scenario in each location.

Read the publication.

Recent research reveals the mortality and economic burden of extreme temperatures in Central and South America

Although climate change is a global concern, most of the evidence for the impact of non-optimal temperatures on mortality risk comes from studies conducted in high-income countries, and does not include consideration of the economic burden that comes with increased health risks. A recent paper, co-authored by Professor Antonio Gasparrini from the EHM-Lab at LSHTM, analysed the mortality and economic impact of extreme temperatures in 13 Central and South American countries in the Multi-City Multi-Country (MCC) Collaborative Research Network. The study, published in Environmental Epidemiology, revealed that both heat and cold significantly contribute to mortality and economic losses across the region, with mortality burden generating a considerable annual total economic loss of $2.1 billion associated with cold and $290.7 million associated with heat. The results by climatic zones showed a higher mortality impact from cold temperatures in arid and temperate regions, and higher impact from heat in tropical climates. The research underscores the need for climate-resilience health strategies and interventions tailored to address regional vulnerabilities to extreme temperature and projections under future climate change. 

Read the publication.

Extreme rainfall events can have significant impact on all-cause mortality, new study suggests

Climate change is increasing the frequency, intensity and unpredictability of extreme weather events, including rainfall, which can result in harmful impacts on human health. Recent research, published in The BMJ, explored the association between rainfall events and mortality (all cause, cardiovascular and respiratory) in 645 locations across 34 countries globally from 1980 to 2020. The study, co-authored by Professor Antonio Gasparrini and Professor Ben Armstrong from the EHM-Lab at LSHTM, found that a day of extreme rainfall with a five year return period (the time between occurences of an extreme event of a certain magnitude) was significantly associated with mortality rates, and higher mortality risks were noted in regions with low baseline rainfall variability or sparse vegetation. This research highlights that local factors such as climate, urban infrastructure and vegetation coverage have an influence on rainfall-related health risks, and can be used to enhance understanding of the broad and complex health impacts of climate change and improve localised adaptation measures. 

Read the publication.

Largest epidemiological study to date on relationship between temperature and mortality identifies at-risk populations under future climate change extremes

Professor Ben Armstrong and Professor Antonio Gasparrini from the EHM-Lab at LSHTM recently co-authored the largest epidemiological study to date on the links between ambient temperature and mortality by age and cause in 532 cities across 33 countries. The study found that both high and low temperatures increased mortality risks, with older adults, especially those 85 and above, being the most vulnerable. The findings, which highlight heightened risks for cardiovascular and respiratory causes at temperature extremes, can be used to improve the accuracy and scope of disease burden projections and offer critical insights for public health strategies in the context of climate change. 

This article was published in Environmental Epidemiology as part of the MCC Special Collection.

Read the publication

New study reveals link between low-level air pollution and cardiovascular risks using UK Biobank data

A new study, published in Environmental International, investigated the long-term associations between low concentrations of particulate matter (PM2.5) and cardiovascular hospital admissions. Previous research has linked exposure to air pollution and cardiovascular risks, yet few studies have assessed the impacts of low-level exposure, and identified the most important window of exposure. This research, led by Jacopo Vanoli and co-authored by Dr Malcolm Mistry, Dr Pierre Masselot, Arturo de la Cruz Libardi and Professor Antonio Gasparrini from the EHM-Lab at LSHTM, using data from the UK Biobank cohort, revealed positive associations between long-term exposure to PM2.5 and multiple cardiovascular outcomes for different exposure windows. The results highlighted that despite recent decreases in air pollution levels, air pollution still causes adverse effects even at verylow concentrations, and therefore new mitigation strategies are needed to account for the public health burden that cannot be avoided by solely reducing air pollution levels. 

Read the publication.

Incorporating large-scale data into future urban planning could help tackle environmental health challenges

A recent commentary co-authored by Professor Antonio Gasparrini and Dr Pierre Masselot from the EHM-Lab at LSHTM, outlines a framework for integrating advanced data analytics into urban planning. The paper, published in Cities, highlights the potential for big data and specialised mapping tools in tackling urban environmental health challenges, and calls for stronger collaboration across fields. The authors emphasise that future research must focus on making data more accessible, addressing equity issues, and supporting new approaches to healthier and more sustainable urban environments.

Read the publication.

New publication presenting the Multi-Country Multi-City Collaborative Research Network kickstarts a Special Collection in Environmental Epidemiology

The health impacts of climate change and environmental degradation vary across regions and populations as a result of differences in levels of exposure and vulnerability. Accurate assessments of these impacts need epidemiological studies that can provide both global comparisons and reliable estimates at a local scale. This paper, led by Professor Antonio Gasparrini from the EHM-Lab at LSHTM, is the first contribution to present The Multi-Country Multi-City Collaborative (MCC) Research Network, an international collaboration working on a global research programme on the association between environmental stressors, climate, and health in a multi-centre setting. The article demonstrates the protocol used by the MCC Network, and the power of collaboration that promotes data sharing and collective participation. As well as providing an overview of MCC publications on different research areas, this study also acts as an introduction to a special collection to be published over the next few months in Environmental Epidemiology. The collection will feature the latest contributions from the MCC Network on topical environmental research issues, and will highlight the potential for this collaborative approach to enable comprehensive, large-scale analyses that provide crucial insights into global health risks under changing climate conditions, and support evidence-based policymaking.

Read the publication.

In a comment published alongside this study, Professor Bert Brunekreef, the Editor in Chief of Environmental Epidemiology, states that, "For almost 10 years now, this unique collaboration has raised the science of the short-term effects of weather and air pollution on population health to new levels. It is based on the voluntary contributions of many scientists all over the world, who contribute their data and time to make the analyses of huge datasets possible. Perhaps the most unique feature of the MCC enterprise is that it is almost completely unfunded. It survives, no, flourishes, because of the trust and companionship among the many authors and collaborating centers, and because of the gentle and continuous leadership of the coordinating investigators."

Read the Editorial Comment.

Expert judgement of direct impacts of weather and climate on mortality in the UK

A new publication, co-authored by Professor Antonio Gasparrini from the EHM-Lab at LSHTM, provides the first structured expert judgement of how weather and climate directly impact mortality, using the UK as a case study. The lack of a comprehensive synthesis of hazard-specific mortality causes uncertainty in estimating country-level health burdens - uncertainty that can be reduced by leveraging collective expert knowledge in this way to assess a broader range of mortality risks beyond those explicitly quantified. The study, published in The Lancet Planetary Health, asked 30 experts from environmental health disciplines to estimate the health impacts of heatwaves, cold spells, and other climate hazards under different future scenarios. While current weather-related mortality is dominated by short-term exposure to hot and cold temperatures, the expert judgement revealed additional underappreciated health outcomes, especially related to long-exposure hazards, and show a potential future worsening of cause-specific mortality in the UK. Authors suggest that this framework could be used to create an expert-based understanding of climate-related health burdens in other countries, and ultimately build a more complete global picture.

Read the publication

New research into the effects of air pollution on global cardiovascular and respiratory mortality over 22 years

A new study published in The Lancet Planetary Health, investigates how the short-term effects of ambient air pollution on cardiovascular and respiratory mortality have changed over time across different urban areas. This comprehensive analysis, co-authored by Dr Pierre Masselot, Professor Ben Armstrong and Professor Antonio Gasparrini from the EHM-Lab at LSHTM, is the first of this kind to use a large multi-country dataset covering 380 urban areas worldwide from 1995 to 2016, to assess the health impacts of common air pollutants such as particulate matter (PM2.5 and PM10), and nitrogen dioxide (NO2) over time. The findings revealed no significant temporal variations in the mortality effects of NO2 and PM10, although exposure concentrations have decreased over the past decades. A borderline significant change was seen in the effect estimate for PM2·5 and cardiovascular mortality over time. The results suggest that reductions in air pollution concentrations during the study period does not necessarily lead to a change in the association between air pollution and mortality, and warrants further research into the impact of influencing factors, such as the sources and composition of pollutants, social and economic determinants, human behaviour, and changes in population distribution. The study calls for enhanced air quality management and tailored public health interventions to address the dynamic nature of pollution effects on health.

Read the publication.

Machine learning techniques used to map air pollution in Great Britain at high resolution

Air pollution, including particulate matter (PM10 and PM2.5) and nitrogen dioxide (NO2), is linked to increased health risks, making accurate exposure measurement crucial for epidemiological studies. A recent study, published in Atmospheric Pollution Research, used advanced machine learning methods to reconstruct daily pollution levels of NO₂, PM₁₀, and PM₂.₅ across Great Britain from 2003 to 2021, offering high-resolution data to enhance understanding of pollution patterns and their health impacts. By combining data from multiple sources such as ground monitoring stations, satellite images, and traffic patterns, the researchers, including Arturo de la Cruz Libardi, Dr Pierre Masselot, Jacopo Vanoli, Dr Malcolm Mistry and Professor Antonio Gasparrini from the EHM-Lab at LSHTM, were able to accurately predict pollution levels at a 1km² scale. Findings revealed distinct patterns in changes of pollution over time and space, and a significant improvement in PM2.5 prediction as well as new data on PM10 and NO2 in Great Britain. With a high resolution and performance, this framework has the potential to provide reliable data over a large geographic areas and timescales, and contribute to future research on the long- and short-term health impacts of air pollution.

Read the publication.

Lack of climate action could see Europe’s heat-related deaths triple by 2100, study suggests

Recent research co-authored by Dr Pierre Masselot, Dr Malcolm Mistry and Professor Antonio Gasparrini from the EHM-Lab at LSHTM warns that deaths from extreme heat could triple in Europe by 2100 under current climate policies, mostly among people living in southern Europe. The study, published in The Lancet Public Health, in collaboration with the Joint Research Centre (JRC) at the European Commission, provides the first indepth analysis of the current and future health risks from hot and cold temperatures between 1,368 regions within 30 countries across Europe. The analysis revealed that under 3°C global warming – an upper estimate based on current climate policies – the number of heat-related deaths in Europe could increase from 43,729 to 128,809 by the end of the century, particularly affecting elderly populations in Spain, Italy, Greece and parts of France. Dr Pierre Masselot, co-author of the study, said, "It is clear that the Mediterranean area is particularly vulnerable and that, in a world that is now reaching a global warming of 1.5°C, radical climate mitigation policies that the EU can lead on are more urgent than ever, to reduce the burden on public health systems and protect populations at risk."

Read the full article, or the study published in The Lancet Public Health.

New research reveals the importance of including humidity in city-level heat-related mortality analyses

While the impacts of climate-change induced heatwaves is well documented and expected to worsen in the future, there reamins a gap in understanding how to effectivley integrate humid heat into heat-health alert systems. A recent study, published in PNAS Nexus, is the first to examine the association between daily mortality and multiple heat stress indicators (HSIs), including ambient humidity, at a global scale. Using MCC historical epidemiological and climatological datasets, the analysis revealed that regional factors such as distance from the coast, latitude, and importantly, a weak or positive correlation between air temperature and humidity make multiple HSIs a better predictor variable for heat-related mortality, than relying solely on air temperature. This research, co-authored by Dr Malcolm Mistry, Dr Pierre Masselot & Professor Antonio Gasparrini from the EHM-Lab, offers crucial insights for enhancing heat-health alert systems, and takes the first step in aligning different communities of thought on the impact of humidity in heat-related health risks. 

Read the publication.

Everything you need to know about La Niña, the climate phenomenon behind this year’s extreme weather

In The Telegraph, Dr Malcolm Mistry, Assistant Professor in the EHM-Lab Lab at LSHTM comments on the effects of the phenomenon La Niña on weather patterns in the UK. Dr Mistry explains that effects of La Niña are less pronounced and often take a while to emerge, suggesting that summer 2025 is likely to be wetter and milder, similar to this year, but this remains an active area of research in climate science.

Read the article.

Novel forecasting tool could take temperature health alert systems to the next level

A recent study by Dr Malcolm Mistry & Professor Antonio Gasparrini from the EHM-Lab at LSHTM describes a new framework which can, for the first time, enable real-time forecasting of temperature related excess mortality at a small-area scale. The innovative design addresses the limitations of current real-time temperature health alerts, providing an additional layer of understanding by forecasting heat-related risk by age categories and at smaller geographical scales. The study demonstrates an application of the framework using the UK heatwave of July 2022, mimicking real-time prediction of heat-related excess-deaths as if made prior to the heatwave. Dr Malcolm Mistry, Assistant Professor in Climate and Geospatial Modelling in the EHM-Lab and lead author said, “We believe this comprehensive framework has the potential to become a gold standard method for forecasting temperature-related excess mortality at a small-area level, enabling local authorities to implement more targeted preventive measures and potentially reduce the health burden during extreme weather events”.

Read the full article, or the study published in Environmental Research: Health.

Expert Comment – Risks of extreme heat should not be ignored

Dr Malcolm Mistry, Assistant Professor in Climate and Geospatial Modelling in LSHTM’s EHM-Lab provides commentary on recent heatwaves in parts of the UK, following a joint heat-health warning issued by the UK Health Security Agency and Met Office. Dr Mistry explains how heatwaves and extreme weather events are measured, and that “the consensus within the climate modelling community is that the frequency, magnitude and duration of most extreme weather events are expected to increase globally in a warming climate”. He concludes that “from a long-term perspective, society and policy makers need to take measures to increase our resilience to extreme temperature and other weather events, and we need to have plans in place to support our most vulnerable when we see precautionary warnings being issued”.

Read the full expert comment.

Opportunity to join the Environment and Health Modelling Lab as a Research Assistant in Environmental Epidemiology

The EHM-Lab is looking for a highly motivated research assistant to conduct environmental epidemiology analyses using novel epidemiological methods. The role will focus on analyses for the Constrained estimation project, although the successful candidate will also have the opportunity to be involved in other projects from the EHM Lab members. The successful candidate should be willing to familiarise themselves with the state-of-the-art methods in environmental epidemiology and engage in rigorous scientific practice.

Read the full job description and apply here. Closing date for applications is Tuesday 25 June 2024.

Training
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Researchers from the Environment and Health Modelling Lab team teach LSHTM programme modules, as well as providing training and workshops internationally in a range of different research areas. Below is a list of LSHTM programmes and upcoming courses:

LSHTM MSc Courses


Swiss Epidemiology Winter School

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Advanced Methods in Climate Change Epidemiology

Date: 23 - 25 January 2025

Location: Wengen, Switzerland

This course aims to provide a comprehensive overview of the latest developments in environmental epidemiology applied to climate change research. The course will cover state-of-the-art study designs such as multi-location time series analyses and small-area assessments, advanced methodologies such as distributed lag models and GIS data linkage, and applications such as health impact projection studies and health attribution analysis.

Course leads: Dr. Antonio Gasparrini, London School of Hygiene & Tropical Medicine, London, UK; Dr. Ana Maria Vicedo-Cabrera, University of Bern, Bern, Switzerland

Registration for this course is open now. Places are limited and allocated on a first-come, first-served basis.

Find out more


European Educational Programme in Epidemiology: Residential Summer Course

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Modern time series methods for public health and epidemiology (5 day course)

Next Course Date: 7-11 July 2025

This course will offer a thorough overview of established approaches and recent advancements in methods using time series data for health research, including a theoretical introduction as well as practical examples in public health, environmental, clinical, cancer, and pharmaco-epidemiology.

Course leads: Dr. Antonio Gasparrini, London School of Hygiene & Tropical Medicine, London, UK; Dr. Ana Maria Vicedo-Cabrera, University of Bern, Bern, Switzerland; and Dr. Francesco Sera, University of Florence, Florence, Italy

This course will be repeated in 2025, please check back for updates on registration.

Read more

Events
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Upcoming events

Please check back at a later date


Past events

The Multi-Country Multi-City (MCC) Collaborative Research Network: an international collaboration for global studies on environmental risks, climate change, and health, 34th Conference of the International Society for Environmental Epidemiology. 18–21 September 2022, Athens, Greece.

FAQs
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Frequently asked questions on the rapid analyses of heat-related mortality

What does the Environment and Health Modelling (EHM) Lab do, and who produced these heat-mortality rapid analyses, (including which other institutions are involved)?

The EHM-Lab develops innovative methods to study the impact of different environmental factors (e.g. temperature, air pollution) on human health. Researchers in the EHM-Lab bring together different sets of expertise, such as environmental epidemiology, biostatistics, climate and geospatial modelling, machine learning and a detailed understanding of earth observation data (information collected by satellites and sensors).

The series of rapid analyses carried out in 2025 build on earlier established methodology and data sources published in the Lancet Planetary Health (Masselot et al., 2023). The analyses are jointly led by researchers at the Grantham Institute for Climate Change and the Environment and Centre for Environmental Policy at Imperial College, and involved collaborators from the University of Bern and the Royal Netherlands Meteorological Institute (KNMI).

What are these heat-related mortality estimates?

The EHM-Lab and collaborators have carried out several rapid real-time and retrospective modelling studies in 2025 to estimate the number of excess deaths caused by recent heatwaves in the UK and Europe. Initial estimates found that heatwaves in June and July 2025 caused hundreds of excess deaths in the UK and Europe, particularly in older age groups, and that human-induced climate change is amplifying both the intensity of heatwaves and the resulting mortality. More information can be found here.

The most recent analysis published in September 2025 estimated that there were about 24,400 heat-related deaths across 854 cities in Europe, and around 16,500 (68%) of these were due to human-induced climate change. This analysis included several heatwaves: one across much of Europe in late June/early July; one in Scandinavia in July; and one in the Mediterranean in August.

Where does the data come from (both temperature and mortality)? Can anyone access it?

The temperature data comes from:

  1. The European Centre for Medium-Range Weather Forecast (ECMWF) fifth generation climate reanalysis (ERA5). This is an observation dataset (though technically, pseudo-observations) that combines records from ground stations, upper atmosphere instruments and satellites with numerical climate models to estimate data where observations are sparse.
  2. Global Climate Models (GCMs) from the Phase VI of the Coupled Model Intercomparison Project (CMIP6). This is an output of climate models using: (a) controlled simulations or counter-factual (hypothetical) scenarios – wherein only natural climate is allowed to vary, and (b) factual scenarios or full simulations allowing for the influence of human-induced climate change, in addition to the variability in the natural climate. These modelled series provide the estimates for the part of heat-related mortality attributed to climate change.

Both ERA5 and CMIP6 data are publicly available from their respective repositories.

The heat-related excess deaths in the analysis are not obtained from datasets, but instead estimated using well-established methodology documented in Masselot et al., 2023. The excess deaths are estimated by calculating the additional risk of death from exposure to non-optimal temperatures (also called temperature-mortality exposure-response functions, or ERFs). These ERFs were made publicly available in the Masselot et al., 2023 study for the 854 cities in Europe (Data Repository and Code), and along with the temperature from any observation data source, can be combined to estimate the temperature-related excess deaths for any of the 854 cities, as examined in the most recent analysis of Summer 2025.

How are the estimates calculated? Are the rapid analyses reports peer reviewed and how confident are you that they’re accurate?

Peer review in scientific journals is an essential part of science, but it is necessarily a lengthy process. Because rapid analyses aim to provide timely evidence during or shortly after extreme events, they are released before formal peer review.

These analyses build on well-established methodology already published and reviewed in the scientific literature, e.g. attribution analyses: Philip et al., 2020, and other studies documented on the World Weather Attribution (WWA) webpage; and the near real-time assessment of heat-related excess deaths: Masselot et al., 2023; Mistry and Gasparrini 2024. In many cases, the rapid reports themselves may later be submitted for peer-review publication.

The figures reported in these rapid analyses are grounded in well-established peer-reviewed methods. A validation of reported numbers is only possible after the release of the official death toll by public health authorities several months later, though it is worth noting that even the official reported numbers are themselves estimates and cannot be considered as true or observed deaths during heatwaves.

Why are some of your rapid analyses ahead of heatwaves, and some afterwards? And why are you producing these estimates so quickly?

The rapid analyses of excess deaths fall in two categories:

(i) Before the heatwave, i.e. a forecast: These are excess deaths that would be expected during the heatwave. The forecast, or prediction, uses the temperature forecast made available by leading global institutions, such as the The European Centre for Medium-Range Weather Forecast (ECMWF), along with the ERFs (temperature-mortality exposure-response functions).

(ii) Post heatwave: an analysis of the estimated excess deaths following an extreme weather event using actual recorded temperatures but still using the same ERFs derived in earlier published studies.

The estimates are produced quickly now but the framework used has been refined over years of research and methodological development. Because both pre- and post-estimation of the excess deaths build on an established methodological framework and require running the epidemiological model using the new exposure data (either forecast temperature for '(i)' or actual recorded temperature for '(ii)'), the rapid analysis could be carried out by anyone, as both the data and code are made publicly available.

The main aim of producing these estimates in near real-time, especially the forecast, is to provide an additional warning tool to the public health authorities of the impeding heat-related risks on the wider population.

This work also highlights the contribution of human-induced climate change in increasing both the likelihood and intensity of such weather extremes, and the associated additional toll on human health and burden on public health resources.

How are the geographic areas for each analysis (e.g. England and Wales, UK or cities in Europe) selected? 

The research team first identify geographic areas where meteorological agencies, such as the UK Met Office (UKMO) and the ECMWF have a heatwave forecast. Next, if the geographical areas have not been previously covered in earlier temperature-health impact assessments, the rapid analysis would require historical daily death records to estimate the temperature-mortality relationship. This can be difficult to obtain from the local or regional health authorities.

For the UK and Europe in particular, the EHM-Lab, has been able to access and analyse historical health records at city or smaller geographic scales through the wider Multi-Country Multi-City Collaborative (MCC) Research Network. Using these daily mortality data, the team then obtained the required ERFs for the 854 cities in Europe, as well as for smaller geographic scales in England & Wales, allowing them to analyse the risk from any upcoming heatwave in these regions.

Why are heatwaves so harmful?

Heatwaves are prolonged periods of abnormally warm temperatures, or temperatures that are higher than normal for a location on average at that time of the year.

During a heatwave, high temperatures in the day are often followed by high temperatures at night. From a health perspective, this means that the human body does not have a natural respite from heat, unless ambient temperatures are artificially maintained using air conditioning or other eco-friendlier sources, such as passive cooling. Therefore individuals, especially with pre-existing health conditions and elderly over 65 years are at high risk from exposure to high temperatures, even for short time periods of just 1-3 days, and 6-24 hours under extreme humid-heat conditions (Demoury et al., 2022; Cottle et al., 2022; Vecellio et al., 2023).

How do you link these estimates to the impacts of climate change?

Studies that link extreme weather events, such as heatwaves, to human-induced climate change by comparing observed characteristics of the event in present-day climate with a hypothetical natural state of the climate (i.e., without human-induced climate change) are called attribution studies. A detailed description of the methodology on extreme-event attribution led by the WWA can be found here.

In summary, temperature from two climate scenarios are used (combined) with the earlier derived ERFs for the 854 cities in Europe.

The first climate scenario is the factual scenario, i.e. the actual recorded temperatures during a heatwave event. The excess deaths estimated here can be thought of as the deaths due to heat from a climate that has both natural variation, and additional warming due to the influence of anthropogenic greenhouse gases (or human-induced warming).

The second scenario is a counter-factual, or hypothetical, scenario. Here, the additional warming due to the influence of anthropogenic greenhouse gases is removed by two methods: either by using data from climate model simulations that only account for natural variation in the climate, or by using sophisticated and established statistical methods. The temperature during the heatwave event in this second hypothetical scenario would effectively be less intense, with the heat spell also likely to be shorter. Thus, the local population would be exposed to lower heat stress and would result in a reduced number of heat-related deaths in this counter-factual scenario.

The “additional” deaths from heat that are likely to have occurred due to the anthropogenic warming can therefore be quantified as the difference in numbers between the two scenarios.

Have you compared any of your predictions with actual mortality data afterwards?

The actual mortality data reported by local authorities are not generally available for another 6 months. We will compare our city-level estimates for the factual scenario with the official numbers when made publicly available. It’s important to note that because the role of heat is very rarely recorded on death certificates, the numbers reported by authorities are still estimates using different (and often less complex) statistical methods, and are therefore not to be considered as true or actual mortality counts from heat. 

The data from the analyses, when compared with that from the municipality registry or the national statistics agency, is very different. How is this possible?

In general, national or city-level daily mortality surveillance systems are investigating how many more deaths occurred on a certain day or time period, compared to recent historical trends. The method averages deaths over time, meaning the effect of temperature is not isolated. If recent years have been comparably warmer due to human-caused climate change, deaths in recent years are likely to be higher in general and therefore present-day estimates may not seem noticeably different from previous years, and lower than the rapid analyses estimates, using this method.

The rapid analyses carried out by the research team use well-established risk functions to estimate deaths that occurred due to the high temperatures, based on nearly 20 years of mortality data showing how temperature affects death in different locations. They also incorporate lagged effects (delayed responses), recognising that heat can have delayed impacts on mortality, days or weeks after a heatwave occurred, a phenomenon well documented in the literature (Gasparrini et al., 2015; Gasparrini et al., 2017). Other key methodological differences include the different geographical boundaries considered, and changes in the susceptible population due to COVID-19 deaths, as the rapid analyses use data from pre-2020.

Do you also look at other factors causing death, e.g. aging population, or chronic illnesses/obesity?

A number of factors, such as socio-economic and public health (e.g. deprivation, gross domestic product, proportion of hospital beds per 1000 people), geographic and climatic (e.g. distance from the coast, local climatology and climate type, altitude) and demographic (e.g. population density, population and death rates by age-groups) are all considered in the original study (Masselot et al., 2023) for deriving the city-specific ERFs.

The focus on heat-related risk in the recent rapid analyses is generally across the wider population with deaths occurring from all causes. The research team do not currently have detailed information on population-scale chronic illnesses or obesity for the cities examined in our analysis.

Has the recent summer of 2025 been abnormally or significantly hotter than recent summers? How do the numbers compare to summers widely remembered as hotter, for example 2003?

We have addressed this in the latest report by comparing heat-related mortality estimates for 2025 to the more recent summers of 2022 and 2023, which had estimates of more than 60,000 and more than 47,000 deaths due to heat respectively. It’s important to note that these estimates are based on wider geographic coverage in Europe at regional-level, where as the recent EHM Lab/Grantham rapid analysis is restricted to 854 cities, a population of 158 million or approximately 30% of the 534 million considered in the previous two studies for 2022 and 2023. Accounting for difference in scale, the recent estimates are in line with the previously published studies, including the numbers attributed to climate change from earlier 2023 and recent 2025 published studies. Please see section 2.4 in the report for further detail.

During the extremely warm summer of 2003, it’s been estimated that higher temperatures resulted in over 74,000 excess deaths across Europe in total.

Why do certain cities rank high for mortality rates in many of these assessments?

Several factors can result in the contrast (in estimated deaths) across the cities analysed here. It’s important to look at the relative impact (death rate, i.e. rate per 1 million population) and not absolute numbers (deaths). Even with the relative metrics, the contrast in heat-related deaths can be driven by several factors: the intensity of heat across regions in the summer would vary, with some recording more extreme temperatures and/or longer heat spells, local-population and vulnerability characteristics, city-level features, e.g. greenspace, urban heating, air pollution etc. The factors driving the contrast in results are not examined here, but are described in the Masselot et al., 2023 study.

What are some of the main limitations to this work? What could be included in future rapid analyses?

A few key limitations are important to highlight. The ERFs used to estimate the heat-related excess deaths - both in factual and counter-factual scenarios - were derived using city-specific mortality records collected prior to 2020, i.e. pre-pandemic and before the surge in warming observed in Europe since 2022. Likewise, the estimates do not capture potential demographic changes and adaptation that would have occurred since 2020, so this assessment relies on annual death rates based on previous years pre-2020.

In the past five years, changes have been put in place across Europe that could reduce the death toll during heatwaves, such as improved adaptation policies and infrastructures, early heat-health warnings and heat action plans, as well as  increases in heat-health awareness. As a result, these rapid analyses may not fully capture the effects of potential adaptation to warmer temperatures over more recent years, as reported in earlier literature (Vicedo-Cabrera et al., 2018). However, the same study indicates that this effect is unlikely to produce substantially different estimates and it is difficult to measure such changes in a short time frame.

For the climate data, the geographic coverage in our study and the need for a harmonised data source necessitated the use of The European Centre for Medium-Range Weather Forecast (ECMWF) fifth generation climate reanalysis (ERA5) as an observation data source for temperature. While ERA5 is a state-of-the-art climate reanalysis dataset and is widely used by researchers to assess impacts from different weather exposures, it uses a spatial resolution of about 30km x 30km. This is larger than the size of some small cities and does not account for the urban heat island effect, and could result in slightly inaccurate representations of actual heatwaves, especially in high urban areas or small cities. The resulting excess deaths due to heat may therefore be under-estimated if the local population were indeed exposed to warmer temperatures, especially in urban areas.

It is also worth emphasising that the recent rapid assessments focus only on mortality from exposure to heat and not on other health outcomes. Evidence from earlier research highlights increased hospitalisation of patients, especially the vulnerable, such as the elderly and those with pre-existing health conditions (asthma, cardiopulmonary and kidney diseases)(Requia et al., 2023; Konstantinoudis et al., 2023). The true burden on local health services will therefore likely be much higher than the heat-related deaths that could occur at home.

Why is it only heat that you’re looking at – do you look at other extreme weather events?

The EHM-Lab focuses not only on temperature-related health risks (both heat and cold), but also studies the health risks associated with air pollution from different sources (e.g. traffic, wildfire). Within the wider MCC research network activities, floods and tropical cyclones and their associated risks on mortality have also been assessed in earlier published studies.

Similarly, WWA has focused on several other extreme weather events in addition to heatwave. A summary of the extreme weather attribution studies can be found on their interactive tracker or this list.

Who funds this work?

The EHM-Lab at LSHTM’s contribution to this work has been supported by the Wellcome Trust through the project BREATHE, and the National Institute for Health and Care Research (NIHR) through the Health Protection Research Unit - Health Analytics and Modelling.

Contributing researchers from Imperial College London are funded by the Grantham Foundation, the European Climate Foundation and the Bezos Earth Foundation.

How can we contact the team behind this work?

The EHM-Lab team representing LSHTM in this rapid assessment study include the following researchers: Professor Antonio Gasparrini, Dr Pierre Masselot and Dr Malcolm N Mistry. More details on the EHM-Lab and the three researchers involved in this study can be found the EHM-Lab website. For LSHTM media enquiries, please contact [email protected].

For Imperial media enquiries, please contact [email protected]