Close
Explore more Centres, Projects and Groups
Welcome
Welcome Banner
Close up of code on a computer screen

The Environment and Health Modelling Lab

Trailblazing statistical methods and modelling to understand the impact of environment on our health

Bottom Content
About

We are a team of environmental epidemiologists, statisticians and data scientists attempting to push further our understanding of how environmental stressors affects human health.

Who we are

Our small team brings expertise on data analysis, climate science and epidemiology.

About
About EHMlab 2 columns
About EHMlab 2 columns left paragraph
Paragraph

We are a small group of researchers based at the London School of Hygiene & Tropical Medicine. We create and apply cutting-edge statistical methods to understand human health, epidemiology and climate change.

We are experts in linking large and complex datasets, bringing together skills in epidemiology, computing and statistics. We believe in high quality analysis, with rigour and accuracy at the heart of what we do.

Our methods serve the scientific community by providing blueprints for health and climate research, helping decode global health issues such as the implications of air pollution or the dangers of heat from a changing climate.

We create new methodologies and design studies that can be applied in a variety of settings. By offering and advocating state-of-the-art methods and publishing open access whenever possible, we want to contribute to new and innovative solutions for public health.

Who we are
Team Block

Malcolm
Mistry

Assistant Professor

Pierre
Masselot

Research Fellow

Jacopo Vanoli

Researcher and PhD candidate
Rochelle Schneider

Rochelle
Schneider

Honorary Assistant Professor

Imran Ali

Project Coordinator
Research
Research EMHLab 2 columns
Research EMHLab 2 columns left paragraph
Paragraph

Our main areas of research include:

  • Global Health Modelling
  • Methodologies
  • Statistical Analysis
  • Epidemiology
  • Data Science

We lead the Multi-Country Multi-City (MCC) Collaborative Research Network, an international collaboration of research teams producing epidemiological evidence on associations between environmental stressors, climate, and health.

We have created a Case Time Series Design that can be used in different epidemiologic areas for investigating associations between environmental factors, clinical conditions, or medications.

We have developed a novel method that combines artificial intelligence with remote sensing satellite technologies to produce the most detailed coverage of air pollution in Britain to date.

Resources
Resources EHMLab 2 columns
Resources EHMLab 2 columns left paragraph
Paragraph

We provide the code for our analysis so our work can be applied elsewhere. Visit the links below:

https://github.com/gasparrini

https://github.com/PierreMasselot

Publications
Publications
The Case Time Series Design
Gasparrini, A.
2021
Epidemiology. 2021 Nov 1;32(6):829-837. doi: 10.1097/EDE.0000000000001410.
A cross-sectional analysis of meteorological factors and SARS-CoV-2 transmission in 409 cities across 26 countries
Sera, F., Armstrong, B., Abbott, S. et al.
2021
Nature Communications. 12, 5968 (2021). https://doi.org/10.1038/s41467-021-25914-8
Mortality risk attributable to wildfire-related PM pollution: a global time series study in 749 locations
Chen, G., Guo, Y, Yue, X. et al.
2021
The Lancet Planetary Health Volume 5, Issue 9, September 2021, Pages e579-e587
The burden of heat-related mortality attributable to recent human-induced climate change
Vicedo-Cabrera, A.M., Scovronick, N., Sera, F. et al.
2021
Nature Climate Change. 11, 492–500 (2021). https://doi.org/10.1038/s41558-021-01058-x
Differential mortality risks associated with PM2.5 components
Masselot, P., Sera, F., Schneider, R. et al.
2021
Epidemiology. December 2021. doi: 10.1097/EDE.0000000000001455
Updates
Updates List Block
Specific components of air pollution identified as more harmful than others

Ammonium is one of the specific components of fine particulate matter (PM2.5), that has been linked to a higher risk of death compared to other chemicals found in it, according to a new study in the journal Epidemiology.

Find out more about the largest global analysis on air pollution.

First global study on wildfire pollution reveals important increase in mortality

Wildfire smoke is causing significant excess deaths globally, with the highest impacts in South-East Asia and Central America, according to the largest study of its kind in the Lancet Planetary Health.

Read more about the impact of wildfire smoke.

Global warming already responsible for one in three heat-related deaths

Between 1991 and 2018, more than a third of all deaths in which heat played a role were attributable to human-induced global warming, according to a new study in Nature Climate Change.

Read more on the study on global warming.

 

Artificial intelligence and satellite technologies reveal detailed map of air pollution across Great Britain

A novel method that combines artificial intelligence with remote sensing satellite technologies has produced the most detailed coverage of air pollution in Britain to date.

Read more about the ground-breaking technique.