Our mission is to develop innovative epidemiological methods to study the impact of environmental stressors on human health.
We are a research team with complementary expertise in biostatistics, epidemiology, data science and climatology, based at the London School of Hygiene & Tropical Medicine.
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.
Antonio
Gasparrini
Professor
Malcolm
Mistry
Assistant Professor
Pierre
Masselot
Research Fellow
Jacopo
Vanoli
Research Assistant
Rochelle
Schneider
Honorary Assistant Professor
Imran Ali
Project Coordinator
Arturo
de la Cruz
Research Assistant
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.
We provide the code for our analysis so our work can be applied elsewhere. Visit the links below:
New risk estimates suggest London and other urban areas had the highest heat-related mortality rate, while cold-related deaths were highest in Northern England, Wales and the South West.
Each year in England and Wales, there were on average nearly 800 excess deaths associated with heat and over 60,500 associated with cold between 2000 and 2019, according to a new study published in The Lancet Planetary Health.
Read more about the study.
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.
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.
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.
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.
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