Epidemiological trends of laboratory-confirmed influenza cases driven by meteorological factors in Anhui Province, China: a multi-city time-series analysis.

ABSTRACT:

Background

Influenza poses a significant threat to public health, potentially influenced by environmental factors. However, the role of meteorological factors (MFs) on influenza risks in China remains underexplored. This study explored the effect of MFs on laboratory-confirmed influenza (LCI) cases in Anhui, China.

Methods

We analysed daily meteorological and influenza data between January 2015 and March 2023, to determine the relationship between temperature, relative humidity, wind speed and LCI cases, using two-stage time series analysis. First, we used distributed lag nonlinear models (DLNMs) to construct cross-basis functions capturing the non-linear and lagged effects of MFs, which were then incorporated into a generalized additive quasi-Poisson regression model for ea

SUBMITTER: Musonye HA 

PROVIDER: S-EPMC12403421 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature