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Spatial Dynamics of Chickenpox Outbreaks in Rapidly Developing Regions:Implications for Global Public Health

摘要Objective The occurrence of chickenpox in rapidly developing areas poses substantial seasonal risk to children.However,certain factors influencing local chickenpox outbreaks have not been studied.Here,we examined the relationship between spatial clustering,heterogeneity of chickenpox outbreaks,and socioeconomic factors in Southern China.Methods We assessed chickenpox outbreak data from Southern China between 2006 and 2021,comprising both relatively fast-growing parts and slower sub-regions,and provides a representative sample of many developing regions.We analyzed the spatial clustering attributes associated with chickenpox outbreaks using Moran's I and local indicators of spatial association and quantified their socioeconomic determinants using Geodetector q statistics.Results There were significant spatial heterogeneity in the risk of chickenpox outbreaks,with strong correlations between chickenpox risk and various factors,particularly demographics and living environment.Furthermore,interactive effects among specific are factors,such as population density and per capita residential building area,percentage of households with toilets,percentage of rental housing,exhibited q statistics of 0.28,0.25,and 0.24,respectively.Conclusion This study provides valuable insights into the spatial dynamics of chickenpox outbreaks in rapidly developing regions,revealing the socioeconomic factors affecting disease transmission.These implications extend the formulation of effective public health strategies and interventions to prevent and control chickenpox outbreaks in similar global contexts.

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作者 Li Wang [1] Miaomiao Wang [2] Chengdong Xu [3] Peihan Wang [3] Meiying You [2] Zihan Li [2] Xinmei Chen [3] Xinyu Liu [2] Xudong Li [2] Yuanyuan Wang [4] Yuehua Hu [2] Dapeng Yin [5] 学术成果认领
作者单位 College of Geography and Environmental Science,Henan University,Kaifeng 475001,Henan,China;State Key Laboratory of Resources and Environmental Information System,Institute of Geographic Science and Natural Resource Research,Chinese Academy of Sciences,Beijing 100101,Beijing,China;Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions(Henan University),Ministry of Education,Kaifeng 475001,Henan,China [1] Office of Epidemiology,Chinese Center for Disease Control and Prevention,Beijing 102206,Beijing,China [2] State Key Laboratory of Resources and Environmental Information System,Institute of Geographic Science and Natural Resource Research,Chinese Academy of Sciences,Beijing 100101,Beijing,China;University of Chinese Academy of Sciences(UCAS),Beijing 100101,Beijing,China [3] Weifang Municipal Center for Disease Control and Prevention,Weifang 261061,Shandong,China [4] Hainan Center for Disease Control and Prevention,Haikou 570203,Hainan,China [5]
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DOI 10.3967/bes2024.068
发布时间 2024-08-26(万方平台首次上网日期,不代表论文的发表时间)
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