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The role of environmental factors in the spatial distribution of Japanese encephalitis in mainland China

Wang, Liya; Hu, Wenbiao; Soares Magalhaes, Ricardo; Bi, Peng; Ding, Fan; Sun, Hailong; Li, Shenlong; Yin, Wenwu; Wei, Lan; Liu, Qi-Yong; Clements, Archie

Description

Japanese encephalitis (JE) is the most common cause of viral encephalitis and an important public health concern in the Asia-Pacific region, particularly in China where 50% of global cases are notified. To explore the association between environmental factors and human JE cases and identify the high risk areas for JE transmission in China, we used annual notified data on JE cases at the center of administrative township and environmental variables with a pixel resolution of 1. km. ×. 1. km from...[Show more]

dc.contributor.authorWang, Liya
dc.contributor.authorHu, Wenbiao
dc.contributor.authorSoares Magalhaes, Ricardo
dc.contributor.authorBi, Peng
dc.contributor.authorDing, Fan
dc.contributor.authorSun, Hailong
dc.contributor.authorLi, Shenlong
dc.contributor.authorYin, Wenwu
dc.contributor.authorWei, Lan
dc.contributor.authorLiu, Qi-Yong
dc.contributor.authorClements, Archie
dc.date.accessioned2015-12-13T22:28:33Z
dc.identifier.issn0160-4120
dc.identifier.urihttp://hdl.handle.net/1885/74254
dc.description.abstractJapanese encephalitis (JE) is the most common cause of viral encephalitis and an important public health concern in the Asia-Pacific region, particularly in China where 50% of global cases are notified. To explore the association between environmental factors and human JE cases and identify the high risk areas for JE transmission in China, we used annual notified data on JE cases at the center of administrative township and environmental variables with a pixel resolution of 1. km. ×. 1. km from 2005 to 2011 to construct models using ecological niche modeling (ENM) approaches based on maximum entropy. These models were then validated by overlaying reported human JE case localities from 2006 to 2012 onto each prediction map. ENMs had good discriminatory ability with the area under the curve (AUC) of the receiver operating curve (ROC) of 0.82-0.91, and low extrinsic omission rate of 5.44-7.42%. Resulting maps showed JE being presented extensively throughout southwestern and central China, with local spatial variations in probability influenced by minimum temperatures, human population density, mean temperatures, and elevation, with contribution of 17.94%-38.37%, 15.47%-21.82%, 3.86%-21.22%, and 12.05%-16.02%, respectively. Approximately 60% of JE cases occurred in predicted high risk areas, which covered less than 6% of areas in mainland China. Our findings will help inform optimal geographical allocation of the limited resources available for JE prevention and control in China, find hidden high-risk areas, and increase the effectiveness of public health interventions against JE transmission.
dc.publisherPergamon-Elsevier Ltd
dc.sourceEnvironment International
dc.titleThe role of environmental factors in the spatial distribution of Japanese encephalitis in mainland China
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume73
dc.date.issued2014
local.identifier.absfor111706 - Epidemiology
local.identifier.ariespublicationU3488905xPUB4032
local.type.statusPublished Version
local.contributor.affiliationWang, Liya, Institute of Disease Control and Prevention of People's Liberation Army
local.contributor.affiliationHu, Wenbiao, Queensland University of Technology
local.contributor.affiliationSoares Magalhaes, Ricardo, University of Queensland
local.contributor.affiliationBi, Peng, University of Adelaide
local.contributor.affiliationDing, Fan, Chinese Center for Disease Control and Prevention
local.contributor.affiliationSun, Hailong, Institute of Disease Control and Prevention of People's Liberation Army
local.contributor.affiliationLi, Shenlong, Institute of Disease Control and Prevention of People's Liberation Army
local.contributor.affiliationYin, Wenwu, Chinese Center for Disease Control and Prevention
local.contributor.affiliationWei, Lan, The University of Hong Kong
local.contributor.affiliationLiu, Qi-Yong, Chinese Center for Disease Control and Prevention
local.contributor.affiliationClements, Archie, College of Medicine, Biology and Environment, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage1
local.bibliographicCitation.lastpage9
local.identifier.doi10.1016/j.envint.2014.07.004
dc.date.updated2015-12-11T08:39:44Z
local.identifier.scopusID2-s2.0-84904871626
local.identifier.thomsonID000345540700001
CollectionsANU Research Publications

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