标题:A study of the dengue epidemic and meteorological factors in Guangzhou, China, by using a zero-inflated poisson regression model
作者:Wang,C.;Jiang,B.;Fan,J.;Wang,F.;Liu,Q.
作者机构:[Wang, C] Shandong University, Jinan, 250012, Shandong, China, State Key Laboratory for Infectious Diseases Prevention and Control, National Institute 更多
通讯作者:Liu, QY
通讯作者地址:[Liu, QY]Natl Inst Communicable Dis Control & Prevent, State Key Lab Infect Dis Prevent & Control, Beijing 102206, Peoples R China.
来源:Asia-Pacific journal of public health
出版年:2014
卷:26
期:1
页码:48-57
DOI:10.1177/1010539513490195
关键词:climate change;communicable diseases;epidemiology;occupational and environmental health;public health
摘要:The aim of this study is to develop a model that correctly identifies and quantifies the relationship between dengue and meteorological factors in Guangzhou, China. By cross-correlation analysis, meteorological variables and their lag effects were determined. According to the epidemic characteristics of dengue in Guangzhou, those statistically significant variables were modeled by a zero-inflated Poisson regression model. The number of dengue cases and minimum temperature at 1-month lag, along with average relative humidity at 0- to 1-month lag were all positively correlated with the prevalence of dengue fever, whereas wind velocity and temperature in the same month along with rainfall at 2 months\' lag showed negative association with dengue incidence. Minimum temperature at 1-month lag and wind velocity in the same month had a greater impact on the dengue epidemic than other variables in Guangzhou.
收录类别:SCOPUS;SCIE;SSCI
WOS核心被引频次:15
Scopus被引频次:16
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84892568194&doi=10.1177%2f1010539513490195&partnerID=40&md5=7c2891dcd337cdfe38a4666a6538db41
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