Association between ambient temperature and risk of notifiable infectious diseases in China from 2011 to 2019.

Previous studies on temperature and infectious diseases primarily focused on individual disease types, yielding inconsistent conclusions. This study collected monthly data on notifiable infectious disease cases and meteorological variables across 7 provinces in China from 2011 to 2019. A distributed...

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Publicado en:International Journal of Environmental Health Research Vol. 35; no. 2; pp. 269 - 282
Autores principales: Wang, Wenqing, Yang, Kaixuan, Li, Jiayi, Jiang, Haiyan, Zhang, Simei, Lin, Yaoyao, Zhang, Xinhan, Jin, Mingjuan, Wang, Jianbing, Tang, Mengling, Chen, Kun
Formato: meta analysis research tables/charts Journal Article
Publicado: Taylor & Francis Ltd Feb2025
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Association between ambient temperature and risk of notifiable infectious diseases in China from 2011 to 2019.
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        au:
          Wang, Wenqing
          Yang, Kaixuan
          Li, Jiayi
          Jiang, Haiyan
          Zhang, Simei
          Lin, Yaoyao
          Zhang, Xinhan
          Jin, Mingjuan
          Wang, Jianbing
          Tang, Mengling
          Chen, Kun
        affil: Department of Public Health, the Fourth Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
      sug:
        subj:
          Communicable Diseases Risk Factors
          Communicable Diseases Trends
          Temperature
          Environmental Health
          Risk Assessment
          Funding Source
          China
          Human
          Meta Analysis
          Descriptive Statistics
          Confidence Intervals
          Climate Change
          Vector Borne Diseases
          Intestinal Diseases
          Disease Transmission Methods
          Infection Control Methods
          Zoonoses
      ab: Previous studies on temperature and infectious diseases primarily focused on individual disease types, yielding inconsistent conclusions. This study collected monthly data on notifiable infectious disease cases and meteorological variables across 7 provinces in China from 2011 to 2019. A distributed lag nonlinear model was used to evaluate the association between ambient temperature and infectious diseases within each province, and random meta-analysis was applied to evaluate the pooled effect. Extreme hot temperature (the 97.5th percentile) was positively associated with the risk of respiratory infectious diseases with the relative risk (RR) of 1.45 (95%CI: 1.01–2.08). Conversely, extreme cold temperature (the 2.5th percentile) was negatively associated with intestinal infectious diseases and zoonotic diseases and vector-borne diseases, reporting RRs of 0.43 (95%CI: 0.30–0.60) and 0.46 (95%CI: 0.38–0.57), respectively. This study described the nonlinear association between ambient temperature and infectious diseases with different transmission routes, informing comprehensive prevention and control strategies for temperature-related infectious diseases.
      pubtype: Academic Journal
      doctype:
        meta analysis
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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