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.
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.