Detecting dengue outbreaks in Malaysia using geospatial techniques

Dengue is a complex disease with an increasing number of infections worldwide. This study aimed to analyse spatiotemporal dengue outbreaks using geospatial techniques and examine the effects of the weather on dengue outbreaks in the Klang Valley area, Kuala Lumpur, Malaysia. Daily weather variables...

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Autores principales:	Syahrul Nellis, Shih Keng Loong, Juraina Abd-Jamil, Rosmadi Fauzi, Sazaly AbuBakar
Formato:	article
Lenguaje:	EN
Publicado:	PAGEPress Publications 2021
Materias:	Geography information system spatial analysis health geography epidemiology study dengue study Malaysia. Geography (General) G1-922
Acceso en línea:	https://doaj.org/article/a14fc8682c134178a71d963b3f971669
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spelling	oai:doaj.org-article:a14fc8682c134178a71d963b3f9716692021-11-04T09:13:38ZDetecting dengue outbreaks in Malaysia using geospatial techniques10.4081/gh.2021.10081827-19871970-7096https://doaj.org/article/a14fc8682c134178a71d963b3f9716692021-11-01T00:00:00Zhttps://geospatialhealth.net/index.php/gh/article/view/1008https://doaj.org/toc/1827-1987https://doaj.org/toc/1970-7096 Dengue is a complex disease with an increasing number of infections worldwide. This study aimed to analyse spatiotemporal dengue outbreaks using geospatial techniques and examine the effects of the weather on dengue outbreaks in the Klang Valley area, Kuala Lumpur, Malaysia. Daily weather variables including rainfall, temperature (maximum and minimum) and wind speed were acquired together with the daily reported dengue cases data from 2001 to 2011 and converted into geospatial format to identify whether there was a specific pattern of the dengue outbreaks. The association between these variables and dengue outbreaks was assessed using Spearman’s correlation. The result showed that dengue outbreaks consistently occurred in the study area during a 11-year study period. And that the strongest outbreaks frequently occurred in two high-rise apartment buildings located in Kuala Lumpur City centre. The results also show significant negative correlations between maximum temperature and minimum temperature on dengue outbreaks around the study area as well as in the area of the high-rise apartment buildings in Kuala Lumpur City centre. Syahrul NellisShih Keng LoongJuraina Abd-JamilRosmadi FauziSazaly AbuBakarPAGEPress PublicationsarticleGeography information systemspatial analysishealth geographyepidemiology studydengue studyMalaysia.Geography (General)G1-922ENGeospatial Health, Vol 16, Iss 2 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Geography information system spatial analysis health geography epidemiology study dengue study Malaysia. Geography (General) G1-922
spellingShingle	Geography information system spatial analysis health geography epidemiology study dengue study Malaysia. Geography (General) G1-922 Syahrul Nellis Shih Keng Loong Juraina Abd-Jamil Rosmadi Fauzi Sazaly AbuBakar Detecting dengue outbreaks in Malaysia using geospatial techniques
description	Dengue is a complex disease with an increasing number of infections worldwide. This study aimed to analyse spatiotemporal dengue outbreaks using geospatial techniques and examine the effects of the weather on dengue outbreaks in the Klang Valley area, Kuala Lumpur, Malaysia. Daily weather variables including rainfall, temperature (maximum and minimum) and wind speed were acquired together with the daily reported dengue cases data from 2001 to 2011 and converted into geospatial format to identify whether there was a specific pattern of the dengue outbreaks. The association between these variables and dengue outbreaks was assessed using Spearman’s correlation. The result showed that dengue outbreaks consistently occurred in the study area during a 11-year study period. And that the strongest outbreaks frequently occurred in two high-rise apartment buildings located in Kuala Lumpur City centre. The results also show significant negative correlations between maximum temperature and minimum temperature on dengue outbreaks around the study area as well as in the area of the high-rise apartment buildings in Kuala Lumpur City centre.
format	article
author	Syahrul Nellis Shih Keng Loong Juraina Abd-Jamil Rosmadi Fauzi Sazaly AbuBakar
author_facet	Syahrul Nellis Shih Keng Loong Juraina Abd-Jamil Rosmadi Fauzi Sazaly AbuBakar
author_sort	Syahrul Nellis
title	Detecting dengue outbreaks in Malaysia using geospatial techniques
title_short	Detecting dengue outbreaks in Malaysia using geospatial techniques
title_full	Detecting dengue outbreaks in Malaysia using geospatial techniques
title_fullStr	Detecting dengue outbreaks in Malaysia using geospatial techniques
title_full_unstemmed	Detecting dengue outbreaks in Malaysia using geospatial techniques
title_sort	detecting dengue outbreaks in malaysia using geospatial techniques
publisher	PAGEPress Publications
publishDate	2021
url	https://doaj.org/article/a14fc8682c134178a71d963b3f971669
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Detecting dengue outbreaks in Malaysia using geospatial techniques

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