2011
DOI: 10.1371/journal.pone.0022192
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The Spatial Heterogeneity between Japanese Encephalitis Incidence Distribution and Environmental Variables in Nepal

Abstract: BackgroundTo identify potential environmental drivers of Japanese Encephalitis virus (JE) transmission in Nepal, we conducted an ecological study to determine the spatial association between 2005 Nepal JE incidence, and climate, agricultural, and land-cover variables at district level.MethodsDistrict-level data on JE cases were examined using Local Indicators of Spatial Association (LISA) analysis to identify spatial clusters from 2004 to 2008 and 2005 data was used to fit a spatial lag regression model with c… Show more

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Cited by 87 publications
(82 citation statements)
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References 35 publications
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“…Having access to a comprehensive data source describing the impact of JEV as well as details of environment and effective control measures could permit more insightful analyses that extend beyond standard phylogenetic investigations. This has already been demonstrated in two recent reports, which investigated the link between environment and the incidence of JEV infection in Nepal (71) and estimated the distribution of JEV in Asia (72) by considering environment and vector distribution based on the integration and analysis of data obtained from WorldClim (http://www.worldclim.org/bioclim) and MosquitoMap (73). Complementing current vaccination and mosquito control programs with the use of novel analytical techniques applied to comprehensive data collections can lead to a more effective approach for the continued control and eradication of JEV.…”
Section: Discussionsupporting
confidence: 57%
“…Having access to a comprehensive data source describing the impact of JEV as well as details of environment and effective control measures could permit more insightful analyses that extend beyond standard phylogenetic investigations. This has already been demonstrated in two recent reports, which investigated the link between environment and the incidence of JEV infection in Nepal (71) and estimated the distribution of JEV in Asia (72) by considering environment and vector distribution based on the integration and analysis of data obtained from WorldClim (http://www.worldclim.org/bioclim) and MosquitoMap (73). Complementing current vaccination and mosquito control programs with the use of novel analytical techniques applied to comprehensive data collections can lead to a more effective approach for the continued control and eradication of JEV.…”
Section: Discussionsupporting
confidence: 57%
“…Because of its ability of both identifying localised clusters and evaluating their significance, the spatial scan statistics becomes more prominent relative to other statistical methods for disease clustering. Space-time scan statistics have been applied previously in several mosquito-borne diseases such as malaria (Coleman et al, 2009), Japanese encephalitis (Impoinvil et al, 2011) and Barmah Forest virus (Naish et al, 2011). However, this study is the first attempt to apply SaTScan on dengue in Australia.…”
Section: Spatial Scan Statistics -Satscanmentioning
confidence: 99%
“…Aedes aegypti is the primary vector worldwide, and is predominantly found in tropical urban environments. It has a so-called cosmo-tropical distribution annually, and spreads to more temperate regions during the summer (Jansen et al, 2010). Aedes albopictus, is currently considered of secondary importance in dengue transmission, except in Asian countries, being present in rural or semi-urban habitats (Caminade et al, 2012, Honorio et al, 2009, Vezzani et al, 2008.…”
Section: Introductionmentioning
confidence: 99%
“…Spatial regression analysis has been increasingly used to determine the predictors of mosquito-borne diseases (Wu et al, 2009;Feng et al, 2011;Impoinvil et al, 2011). However, this is the first study to demonstrate the application of spatial regression analysis to BFV transmission.…”
Section: Discussionmentioning
confidence: 99%
“…The application of these techniques specifically for studies of mosquito-borne diseases has attracted increasing attention (Li et al, 2008;Feng et al, 2011;Impoinvil et al, 2011). A second issue associated with spatial regression analyses is spatial heterogeneity i.e.…”
Section: Introductionmentioning
confidence: 99%