Spatial-temporal distribution of dengue and climate characteristics for two clusters in Sri Lanka from 2012 to 2016

Abstract Dengue is a vector-borne disease causing high morbidity and mortality in tropical and subtropical countries. Urbanization, globalization, and lack of effective mosquito control have lead to dramatically increased frequency and magnitude of dengue epidemic in the past 40 years. The virus and...

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Autores principales:	Wei Sun, Ling Xue, Xiaoxue Xie
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/94c7dede302a48f89bda3f65d5f0e08f
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spelling	oai:doaj.org-article:94c7dede302a48f89bda3f65d5f0e08f2021-12-02T15:05:02ZSpatial-temporal distribution of dengue and climate characteristics for two clusters in Sri Lanka from 2012 to 201610.1038/s41598-017-13163-z2045-2322https://doaj.org/article/94c7dede302a48f89bda3f65d5f0e08f2017-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-13163-zhttps://doaj.org/toc/2045-2322Abstract Dengue is a vector-borne disease causing high morbidity and mortality in tropical and subtropical countries. Urbanization, globalization, and lack of effective mosquito control have lead to dramatically increased frequency and magnitude of dengue epidemic in the past 40 years. The virus and the mosquito vectors keep expanding geographically in the tropical regions of the world. Using the hot spot analysis and the spatial-temporal clustering method, we investigated the spatial-temporal distribution of dengue in Sri Lanka from 2012 to 2016 to identify spatial-temporal clusters and elucidate the association of climatic factors with dengue incidence. We detected two important spatial-temporal clusters in Sri Lanka. Dengue incidences were predicted by combining historical dengue incidence data with climate data, and hot and cold spots were forecasted using the predicted dengue incidences to identify areas at high risks. Targeting the hot spots during outbreaks instead of all the regions can save resources and time for public health authorities. Our study helps better understand how climatic factors impact spatial and temporal spread of dengue virus. Hot spot prediction helps public health authorities forecast future high risk areas and direct control measures to minimize cost on health, time, and economy.Wei SunLing XueXiaoxue XieNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Wei Sun Ling Xue Xiaoxue Xie Spatial-temporal distribution of dengue and climate characteristics for two clusters in Sri Lanka from 2012 to 2016
description	Abstract Dengue is a vector-borne disease causing high morbidity and mortality in tropical and subtropical countries. Urbanization, globalization, and lack of effective mosquito control have lead to dramatically increased frequency and magnitude of dengue epidemic in the past 40 years. The virus and the mosquito vectors keep expanding geographically in the tropical regions of the world. Using the hot spot analysis and the spatial-temporal clustering method, we investigated the spatial-temporal distribution of dengue in Sri Lanka from 2012 to 2016 to identify spatial-temporal clusters and elucidate the association of climatic factors with dengue incidence. We detected two important spatial-temporal clusters in Sri Lanka. Dengue incidences were predicted by combining historical dengue incidence data with climate data, and hot and cold spots were forecasted using the predicted dengue incidences to identify areas at high risks. Targeting the hot spots during outbreaks instead of all the regions can save resources and time for public health authorities. Our study helps better understand how climatic factors impact spatial and temporal spread of dengue virus. Hot spot prediction helps public health authorities forecast future high risk areas and direct control measures to minimize cost on health, time, and economy.
format	article
author	Wei Sun Ling Xue Xiaoxue Xie
author_facet	Wei Sun Ling Xue Xiaoxue Xie
author_sort	Wei Sun
title	Spatial-temporal distribution of dengue and climate characteristics for two clusters in Sri Lanka from 2012 to 2016
title_short	Spatial-temporal distribution of dengue and climate characteristics for two clusters in Sri Lanka from 2012 to 2016
title_full	Spatial-temporal distribution of dengue and climate characteristics for two clusters in Sri Lanka from 2012 to 2016
title_fullStr	Spatial-temporal distribution of dengue and climate characteristics for two clusters in Sri Lanka from 2012 to 2016
title_full_unstemmed	Spatial-temporal distribution of dengue and climate characteristics for two clusters in Sri Lanka from 2012 to 2016
title_sort	spatial-temporal distribution of dengue and climate characteristics for two clusters in sri lanka from 2012 to 2016
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/94c7dede302a48f89bda3f65d5f0e08f
work_keys_str_mv	AT weisun spatialtemporaldistributionofdengueandclimatecharacteristicsfortwoclustersinsrilankafrom2012to2016 AT lingxue spatialtemporaldistributionofdengueandclimatecharacteristicsfortwoclustersinsrilankafrom2012to2016 AT xiaoxuexie spatialtemporaldistributionofdengueandclimatecharacteristicsfortwoclustersinsrilankafrom2012to2016
_version_	1718388971168333824

Spatial-temporal distribution of dengue and climate characteristics for two clusters in Sri Lanka from 2012 to 2016

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