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中国安徽省洪涝相关传染病的识别:时空分析

Identifying Flood-Related Infectious Diseases in Anhui Province, China: A Spatial and Temporal Analysis.

作者信息

Gao Lu, Zhang Ying, Ding Guoyong, Liu Qiyong, Jiang Baofa

机构信息

Department of Epidemiology and Health Statistics, School of Public Health, Shandong University, Shandong Province, People's Republic of China; School of Public Health, China Studies Centre, The University of Sydney, New South Wales, Australia; School of Public Health, Center for Climate Change and Health, Shandong University, Shandong Province, People's Republic of China; Department of Occupational and Environmental Health, School of Public Health, Taishan Medical College, Shandong Province, People's Republic of China; State Key Laboratory for Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, China Centers for Disease Control and Prevention, Beijing City, People's Republic of China.

Department of Epidemiology and Health Statistics, School of Public Health, Shandong University, Shandong Province, People's Republic of China; School of Public Health, China Studies Centre, The University of Sydney, New South Wales, Australia; School of Public Health, Center for Climate Change and Health, Shandong University, Shandong Province, People's Republic of China; Department of Occupational and Environmental Health, School of Public Health, Taishan Medical College, Shandong Province, People's Republic of China; State Key Laboratory for Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, China Centers for Disease Control and Prevention, Beijing City, People's Republic of China

出版信息

Am J Trop Med Hyg. 2016 Apr;94(4):741-9. doi: 10.4269/ajtmh.15-0338. Epub 2016 Feb 22.

Abstract

The aim of this study was to explore infectious diseases related to the 2007 Huai River flood in Anhui Province, China. The study was based on the notified incidences of infectious diseases between June 29 and July 25 from 2004 to 2011. Daily incidences of notified diseases in 2007 were compared with the corresponding daily incidences during the same period in the other years (from 2004 to 2011, except 2007) by Poisson regression analysis. Spatial autocorrelation analysis was used to test the distribution pattern of the diseases. Spatial regression models were then performed to examine the association between the incidence of each disease and flood, considering lag effects and other confounders. After controlling the other meteorological and socioeconomic factors, malaria (odds ratio [OR] = 3.67, 95% confidence interval [CI] = 1.77-7.61), diarrhea (OR = 2.16, 95% CI = 1.24-3.78), and hepatitis A virus (HAV) infection (OR = 6.11, 95% CI = 1.04-35.84) were significantly related to the 2007 Huai River flood both from the spatial and temporal analyses. Special attention should be given to develop public health preparation and interventions with a focus on malaria, diarrhea, and HAV infection, in the study region.

摘要

本研究旨在探究与2007年中国安徽省淮河洪水相关的传染病。该研究基于2004年至2011年6月29日至7月25日期间报告的传染病发病率。通过泊松回归分析,将2007年报告疾病的每日发病率与其他年份(2004年至2011年,不包括2007年)同期的相应每日发病率进行比较。采用空间自相关分析来检验疾病的分布模式。然后进行空间回归模型,以研究每种疾病的发病率与洪水之间的关联,同时考虑滞后效应和其他混杂因素。在控制了其他气象和社会经济因素后,疟疾(优势比[OR]=3.67,95%置信区间[CI]=1.77 - 7.61)、腹泻(OR = 2.16,95% CI = 1.24 - 3.78)和甲型肝炎病毒(HAV)感染(OR = 6.11,95% CI = 1.04 - 35.84)在空间和时间分析中均与2007年淮河洪水显著相关。在研究区域,应特别重视制定以疟疾、腹泻和HAV感染为重点的公共卫生准备和干预措施。

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The spatial epidemiology of tuberculosis in Linyi City, China, 2005-2010.
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7
Infectious diseases following natural disasters: prevention and control measures.
Expert Rev Anti Infect Ther. 2012 Jan;10(1):95-104. doi: 10.1586/eri.11.155.
9
Health effects of flooding in rural Bangladesh.
Epidemiology. 2012 Jan;23(1):107-15. doi: 10.1097/EDE.0b013e31823ac606.
10
An exploration of spatial patterns of seasonal diarrhoeal morbidity in Thailand.
Epidemiol Infect. 2012 Jul;140(7):1236-43. doi: 10.1017/S0950268811001919. Epub 2011 Sep 19.

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