Multi-level analyses of spatial and temporal determinants for dengue infection

Background: Dengue is a mosquito-borne viral infection that is now endemic in most tropical countries. In Thailand, dengue fever/dengue hemorrhagic fever is a leading cause of hospitalization and death among children. A longitudinal study among 1750 people in two rural and one urban sites in norther...

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Main Authors: Sophie O. Vanwambeke, Birgit H.B. van Bethem, Nardlada Khantikul, Chantal Burghoorn-Maas, Kamolwan Panart, Linda Oskam, Eric F. Lambin, Pradya Somboon
Format: Journal
Published: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/61558
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-615582018-09-11T09:01:02Z Multi-level analyses of spatial and temporal determinants for dengue infection Sophie O. Vanwambeke Birgit H.B. van Bethem Nardlada Khantikul Chantal Burghoorn-Maas Kamolwan Panart Linda Oskam Eric F. Lambin Pradya Somboon Business, Management and Accounting Computer Science Medicine Background: Dengue is a mosquito-borne viral infection that is now endemic in most tropical countries. In Thailand, dengue fever/dengue hemorrhagic fever is a leading cause of hospitalization and death among children. A longitudinal study among 1750 people in two rural and one urban sites in northern Thailand from 2001 to 2003 studied spatial and temporal determinants for recent dengue infection at three levels (time, individual and household). Methods: Determinants for dengue infection were measured by questionnaire, land-cover maps and GIS. IgM antibodies against dengue were detected by ELISA. Three-level multi-level analysis was used to study the risk determinants of recent dengue infection. Results: Rates of recent dengue infection varied substantially in time from 4 to 30%, peaking in 2002. Determinants for recent dengue infection differed per site. Spatial clustering was observed, demonstrating variation in local infection patterns. Most of the variation in recent dengue infection was explained at the time-period level. Location of a person and the environment around the house (including irrigated fields and orchards) were important determinants for recent dengue infection. Conclusion: We showed the focal nature of asymptomatic dengue infections. The great variation of determinants for recent dengue infection in space and time should be taken into account when designing local dengue control programs. © 2006 Vanwambeke et al; licensee BioMed Central Ltd. 2018-09-11T08:55:00Z 2018-09-11T08:55:00Z 2006-01-18 Journal 1476072X 1476072X 2-s2.0-32944474077 10.1186/1476-072X-5-5 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=32944474077&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/61558
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Business, Management and Accounting
Computer Science
Medicine
spellingShingle Business, Management and Accounting
Computer Science
Medicine
Sophie O. Vanwambeke
Birgit H.B. van Bethem
Nardlada Khantikul
Chantal Burghoorn-Maas
Kamolwan Panart
Linda Oskam
Eric F. Lambin
Pradya Somboon
Multi-level analyses of spatial and temporal determinants for dengue infection
description Background: Dengue is a mosquito-borne viral infection that is now endemic in most tropical countries. In Thailand, dengue fever/dengue hemorrhagic fever is a leading cause of hospitalization and death among children. A longitudinal study among 1750 people in two rural and one urban sites in northern Thailand from 2001 to 2003 studied spatial and temporal determinants for recent dengue infection at three levels (time, individual and household). Methods: Determinants for dengue infection were measured by questionnaire, land-cover maps and GIS. IgM antibodies against dengue were detected by ELISA. Three-level multi-level analysis was used to study the risk determinants of recent dengue infection. Results: Rates of recent dengue infection varied substantially in time from 4 to 30%, peaking in 2002. Determinants for recent dengue infection differed per site. Spatial clustering was observed, demonstrating variation in local infection patterns. Most of the variation in recent dengue infection was explained at the time-period level. Location of a person and the environment around the house (including irrigated fields and orchards) were important determinants for recent dengue infection. Conclusion: We showed the focal nature of asymptomatic dengue infections. The great variation of determinants for recent dengue infection in space and time should be taken into account when designing local dengue control programs. © 2006 Vanwambeke et al; licensee BioMed Central Ltd.
format Journal
author Sophie O. Vanwambeke
Birgit H.B. van Bethem
Nardlada Khantikul
Chantal Burghoorn-Maas
Kamolwan Panart
Linda Oskam
Eric F. Lambin
Pradya Somboon
author_facet Sophie O. Vanwambeke
Birgit H.B. van Bethem
Nardlada Khantikul
Chantal Burghoorn-Maas
Kamolwan Panart
Linda Oskam
Eric F. Lambin
Pradya Somboon
author_sort Sophie O. Vanwambeke
title Multi-level analyses of spatial and temporal determinants for dengue infection
title_short Multi-level analyses of spatial and temporal determinants for dengue infection
title_full Multi-level analyses of spatial and temporal determinants for dengue infection
title_fullStr Multi-level analyses of spatial and temporal determinants for dengue infection
title_full_unstemmed Multi-level analyses of spatial and temporal determinants for dengue infection
title_sort multi-level analyses of spatial and temporal determinants for dengue infection
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=32944474077&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/61558
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