Application of mosquito sampling count and geospatial methods to improve dengue vector surveillance

Dengue hemorrhagic fever is a major public health problem in several countries around the world. Dengue vector surveillance is an important methodology to determine when and where to take the control action. We used a combination of the Global Positioning System (GPS)/Geographic Information System (...

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Main Authors: Chitti Chansang, Pattamaporn Kittayapong
Other Authors: Mahidol University
Format: Article
Published: 2018
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/24494
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spelling th-mahidol.244942018-08-24T08:58:34Z Application of mosquito sampling count and geospatial methods to improve dengue vector surveillance Chitti Chansang Pattamaporn Kittayapong Mahidol University Immunology and Microbiology Medicine Dengue hemorrhagic fever is a major public health problem in several countries around the world. Dengue vector surveillance is an important methodology to determine when and where to take the control action. We used a combination of the Global Positioning System (GPS)/Geographic Information System (GIS) technology and the immature sampling count method to improve dengue vector surveillance. Both complete count and sampling count methods were used simultaneously to collect immature dengue vectors in all houses and all containers in one village in eastern Thailand to determine the efficiency of the sampling count technique. A hand-held GPS unit was used to record the location of surveyed houses. Linear regression indicated a high correlation between total immature populations resulting from the complete count and estimates from sampling count of immature stages. The immature survey data and the GPS coordinates of house location were combined into GIS maps showing distribution of immature density and clustering of immature stages and positive containers in the study area. This approach could be used to improve the efficiency and accuracy of dengue vector surveillance for targeting vector control. Copyright © 2007 by The American Society of Tropical Medicine and Hygiene. 2018-08-24T01:51:23Z 2018-08-24T01:51:23Z 2007-11-01 Article American Journal of Tropical Medicine and Hygiene. Vol.77, No.5 (2007), 897-902 00029637 2-s2.0-40149093331 https://repository.li.mahidol.ac.th/handle/123456789/24494 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=40149093331&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Immunology and Microbiology
Medicine
spellingShingle Immunology and Microbiology
Medicine
Chitti Chansang
Pattamaporn Kittayapong
Application of mosquito sampling count and geospatial methods to improve dengue vector surveillance
description Dengue hemorrhagic fever is a major public health problem in several countries around the world. Dengue vector surveillance is an important methodology to determine when and where to take the control action. We used a combination of the Global Positioning System (GPS)/Geographic Information System (GIS) technology and the immature sampling count method to improve dengue vector surveillance. Both complete count and sampling count methods were used simultaneously to collect immature dengue vectors in all houses and all containers in one village in eastern Thailand to determine the efficiency of the sampling count technique. A hand-held GPS unit was used to record the location of surveyed houses. Linear regression indicated a high correlation between total immature populations resulting from the complete count and estimates from sampling count of immature stages. The immature survey data and the GPS coordinates of house location were combined into GIS maps showing distribution of immature density and clustering of immature stages and positive containers in the study area. This approach could be used to improve the efficiency and accuracy of dengue vector surveillance for targeting vector control. Copyright © 2007 by The American Society of Tropical Medicine and Hygiene.
author2 Mahidol University
author_facet Mahidol University
Chitti Chansang
Pattamaporn Kittayapong
format Article
author Chitti Chansang
Pattamaporn Kittayapong
author_sort Chitti Chansang
title Application of mosquito sampling count and geospatial methods to improve dengue vector surveillance
title_short Application of mosquito sampling count and geospatial methods to improve dengue vector surveillance
title_full Application of mosquito sampling count and geospatial methods to improve dengue vector surveillance
title_fullStr Application of mosquito sampling count and geospatial methods to improve dengue vector surveillance
title_full_unstemmed Application of mosquito sampling count and geospatial methods to improve dengue vector surveillance
title_sort application of mosquito sampling count and geospatial methods to improve dengue vector surveillance
publishDate 2018
url https://repository.li.mahidol.ac.th/handle/123456789/24494
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