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The pitfalls of incidence-based time series regression for inferring the effects of weather on infectious diseases

2026-03-15

Abstract excerpt

1 A central question in environmental epidemiology is how the weather affects infectious diseases. Time-series regression (TSR) on population-level case incidence data is widely used to estimate weather effects; however, this design may be biased due to the complexities of infectious disease dynamics, including nonlinear feedback, various types of noise, and latent, dynamic variables such as population immunity. H...

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Literature Corpus work
c319bad2-b980-5ee6-a44c-2587e8f56c1d
DOI
10.64898/2026.03.13.26348326
Open publication

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The pitfalls of incidence-based time series regression for inferring the effects of weather on infectious diseasesDOI 10.64898/2026.03.13.26348326
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