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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Bibliographic Details
Main Authors: Masnita Md Yusof (Author), Nazri Che Dom (Author), Ariza Zainuddin (Author)
Format: Article
Language:English
Published: Pusat Sistematik Serangga, Fakulti Sains dan Teknologi, Universiti Kebangsaan Malaysia, 2016-12.
Online Access:Get fulltext
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042 |a dc 
100 1 0 |a Masnita Md Yusof,   |e author 
700 1 0 |a Nazri Che Dom,   |e author 
700 1 0 |a Ariza Zainuddin,   |e author 
245 0 0 |a Spatial pattern distribution of dengue fever in sub-urban area using GIS tools 
260 |b Pusat Sistematik Serangga, Fakulti Sains dan Teknologi, Universiti Kebangsaan Malaysia,   |c 2016-12. 
856 |z Get fulltext  |u http://journalarticle.ukm.my/10989/1/16641-46790-1-SM.pdf 
520 |a 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. 
546 |a en