Visualization and detection of spatio-temporal hot-spot and cluster for dengue in Petaling district, Malaysia
Hot-spot and cluster detection is a part of disease surveillance to find out which regions are effected most by the disease. Analysis of these clusters of disease used for longer periods of time can lead to future prediction of disease outbreaks. Dengue is one of the most important arboviral disease...
Saved in:
Main Authors: | , , |
---|---|
格式: | Conference or Workshop Item |
出版: |
American Institute of Physics Inc.
2016
|
在线阅读: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85005943320&doi=10.1063%2f1.4968153&partnerID=40&md5=6f69153d6a4014f179ce30fd8ccaddd3 http://eprints.utp.edu.my/30679/ |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
id |
my.utp.eprints.30679 |
---|---|
record_format |
eprints |
spelling |
my.utp.eprints.306792022-03-25T07:14:14Z Visualization and detection of spatio-temporal hot-spot and cluster for dengue in Petaling district, Malaysia Rizwan, M. Dass, S.C. Sagayan, V. Hot-spot and cluster detection is a part of disease surveillance to find out which regions are effected most by the disease. Analysis of these clusters of disease used for longer periods of time can lead to future prediction of disease outbreaks. Dengue is one of the most important arboviral disease in Malaysia which needs proper surveillance and control strategies. Our current study presents hot-spot and cluster detection of dengue outbreaks in the district of Petaling, Selangor in Malaysia during the year 2014 using the registered cases of dengue in the district. Detected hot-spot from this spatio-temporal analysis of registered dengue could provide a trend for the future dengue outbreak predictions. Use of dengue registered cases for the future prediction could be more effective then using land use variables and climate data. R software is used for the hot-spots detection. Custom clustering definition is considered for the analysis. © 2016 Author(s). American Institute of Physics Inc. 2016 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85005943320&doi=10.1063%2f1.4968153&partnerID=40&md5=6f69153d6a4014f179ce30fd8ccaddd3 Rizwan, M. and Dass, S.C. and Sagayan, V. (2016) Visualization and detection of spatio-temporal hot-spot and cluster for dengue in Petaling district, Malaysia. In: UNSPECIFIED. http://eprints.utp.edu.my/30679/ |
institution |
Universiti Teknologi Petronas |
building |
UTP Resource Centre |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Petronas |
content_source |
UTP Institutional Repository |
url_provider |
http://eprints.utp.edu.my/ |
description |
Hot-spot and cluster detection is a part of disease surveillance to find out which regions are effected most by the disease. Analysis of these clusters of disease used for longer periods of time can lead to future prediction of disease outbreaks. Dengue is one of the most important arboviral disease in Malaysia which needs proper surveillance and control strategies. Our current study presents hot-spot and cluster detection of dengue outbreaks in the district of Petaling, Selangor in Malaysia during the year 2014 using the registered cases of dengue in the district. Detected hot-spot from this spatio-temporal analysis of registered dengue could provide a trend for the future dengue outbreak predictions. Use of dengue registered cases for the future prediction could be more effective then using land use variables and climate data. R software is used for the hot-spots detection. Custom clustering definition is considered for the analysis. © 2016 Author(s). |
format |
Conference or Workshop Item |
author |
Rizwan, M. Dass, S.C. Sagayan, V. |
spellingShingle |
Rizwan, M. Dass, S.C. Sagayan, V. Visualization and detection of spatio-temporal hot-spot and cluster for dengue in Petaling district, Malaysia |
author_facet |
Rizwan, M. Dass, S.C. Sagayan, V. |
author_sort |
Rizwan, M. |
title |
Visualization and detection of spatio-temporal hot-spot and cluster for dengue in Petaling district, Malaysia |
title_short |
Visualization and detection of spatio-temporal hot-spot and cluster for dengue in Petaling district, Malaysia |
title_full |
Visualization and detection of spatio-temporal hot-spot and cluster for dengue in Petaling district, Malaysia |
title_fullStr |
Visualization and detection of spatio-temporal hot-spot and cluster for dengue in Petaling district, Malaysia |
title_full_unstemmed |
Visualization and detection of spatio-temporal hot-spot and cluster for dengue in Petaling district, Malaysia |
title_sort |
visualization and detection of spatio-temporal hot-spot and cluster for dengue in petaling district, malaysia |
publisher |
American Institute of Physics Inc. |
publishDate |
2016 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85005943320&doi=10.1063%2f1.4968153&partnerID=40&md5=6f69153d6a4014f179ce30fd8ccaddd3 http://eprints.utp.edu.my/30679/ |
_version_ |
1738657141310357504 |
score |
13.250246 |