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Dataset Information

Spatio-temporal patterns and associated factors of influenza-like illness outbreaks in Chinese mainland: a Bayesian modeling study.


ABSTRACT:

Background

China is one of the regions with high incidence of influenza, previous researches have primarily focused on the seasonal characteristics, spatio-temporal distribution, and associated influencing factors of influenza, while paying less attention to the public health significance of influenza-like illness (ILI) outbreaks. ILI is clinically defined as a syndrome characterized by fever accompanied by cough or sore throat. This case definition leads to distinct epidemiological characteristics, disease burden, and prevention strategies compared to laboratory-confirmed influenza. Currently, systematic epidemiological research on ILI outbreaks in Chinese mainland still has gaps. Therefore, a spatio-temporal modeling study was conducted to identify high-risk areas and potential r

SUBMITTER: Guan X 

PROVIDER: S-EPMC12828928 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature