Spatial pattern distribution of dengue fever in sub-urban area using GIS tools

Dengue fever (DF) is one of the major public health problems in Malaysia. The number of cases recorded is always fluctuating. The aim of the study is to identify the high-risk area for the occurrence of dengue disease. Spatial-temporal model was used by measuring three characteristics which are freq...

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Main Authors: Masnita Md Yusof, Nazri Che Dom, Ariza Zainuddin
Format: Article
Language:English
Published: Pusat Sistematik Serangga, Fakulti Sains dan Teknologi, Universiti Kebangsaan Malaysia 2016
Online Access:http://journalarticle.ukm.my/10989/1/16641-46790-1-SM.pdf
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author Masnita Md Yusof,
Nazri Che Dom,
Ariza Zainuddin,
author_facet Masnita Md Yusof,
Nazri Che Dom,
Ariza Zainuddin,
author_sort Masnita Md Yusof,
collection UKM
description Dengue fever (DF) is one of the major public health problems in Malaysia. The number of cases recorded is always fluctuating. The aim of the study is to identify the high-risk area for the occurrence of dengue disease. Spatial-temporal model was used by measuring three characteristics which are frequency, duration and intensity to define the severity and magnitude of outbreak transmission. This study examined a total of 386 registered dengue fever cases, geo-coded by address in Jempol district between January 2011 and December 2015. Even though case notification figures are subjected to bias, this information is available in the health services. It may lead to crucial conclusion, recommendations, and hypotheses. Public health officials can utilize the temporal risk indices to describe dengue relatively than relying on the traditional case incident figures.
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spelling ukm.eprints-109892017-11-23T09:23:49Z http://journalarticle.ukm.my/10989/ Spatial pattern distribution of dengue fever in sub-urban area using GIS tools Masnita Md Yusof, Nazri Che Dom, Ariza Zainuddin, Dengue fever (DF) is one of the major public health problems in Malaysia. The number of cases recorded is always fluctuating. The aim of the study is to identify the high-risk area for the occurrence of dengue disease. Spatial-temporal model was used by measuring three characteristics which are frequency, duration and intensity to define the severity and magnitude of outbreak transmission. This study examined a total of 386 registered dengue fever cases, geo-coded by address in Jempol district between January 2011 and December 2015. Even though case notification figures are subjected to bias, this information is available in the health services. It may lead to crucial conclusion, recommendations, and hypotheses. Public health officials can utilize the temporal risk indices to describe dengue relatively than relying on the traditional case incident figures. Pusat Sistematik Serangga, Fakulti Sains dan Teknologi, Universiti Kebangsaan Malaysia 2016-12 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/10989/1/16641-46790-1-SM.pdf Masnita Md Yusof, and Nazri Che Dom, and Ariza Zainuddin, (2016) Spatial pattern distribution of dengue fever in sub-urban area using GIS tools. Serangga, 21 (2). pp. 127-148. ISSN 1394-5130 http://ejournal.ukm.my/serangga/issue/view/890
spellingShingle Masnita Md Yusof,
Nazri Che Dom,
Ariza Zainuddin,
Spatial pattern distribution of dengue fever in sub-urban area using GIS tools
title Spatial pattern distribution of dengue fever in sub-urban area using GIS tools
title_full Spatial pattern distribution of dengue fever in sub-urban area using GIS tools
title_fullStr Spatial pattern distribution of dengue fever in sub-urban area using GIS tools
title_full_unstemmed Spatial pattern distribution of dengue fever in sub-urban area using GIS tools
title_short Spatial pattern distribution of dengue fever in sub-urban area using GIS tools
title_sort spatial pattern distribution of dengue fever in sub urban area using gis tools
url http://journalarticle.ukm.my/10989/1/16641-46790-1-SM.pdf
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