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ABSTRACT: Objective
Injuries remain a major cause of death globally amid rising health threats from climate change and extreme weather. This study examined the association between ambient temperatures and different injury mechanisms to identify vulnerable populations in Shanghai.Methods
Injury-related emergency ambulance dispatch records and corresponding meteorological data for the period 2016-2021 were obtained from the Shanghai Emergency Dispatch Center and the Shanghai Meteorological Service. A distributed lag nonlinear model (DLNM) with a quasi-Poisson distribution was applied to evaluate the association between ambient temperatures and injury-related emergency ambulance dispatches. Subgroup analyses were further conducted by gender, age group, and injury mechanisms to identify
SUBMITTER: Hu Y
PROVIDER: S-EPMC12309581 | biostudies-literature | 2025 Sep
REPOSITORIES: biostudies-literature