Causal inference concepts can guide research into the effects of climate on infectious diseases.

ABSTRACT: A pressing question resulting from global warming is how climate change will affect infectious diseases. Answering this question requires research into the effects of weather on the population dynamics of transmission and infection; elucidating these effects, however, has proved difficult due to the challenges of assessing causality from the predominantly observational data available in epidemiological research. Here we show how concepts from causal inference-the sub-field of statistics aiming at inferring causality from data-can guide that research. Through a series of case studies, we illustrate how such concepts can help assess study design and strategically choose a study's location, evaluate and reduce the risk of bias, and interpret the multifaceted effects of meteorological variable

SUBMITTER: Barrero Guevara LA 

PROVIDER: S-EPMC11807838 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature