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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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PAGEPress Publications
2021-11-01
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| Series: | Geospatial Health |
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| Online Access: | https://geospatialhealth.net/index.php/gh/article/view/1008 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-18T10:36:52Z |
| format | Article |
| id | doaj.art-a14fc8682c134178a71d963b3f971669 |
| institution | Directory Open Access Journal |
| issn | 1827-1987 1970-7096 |
| language | English |
| last_indexed | 2024-12-18T10:36:52Z |
| publishDate | 2021-11-01 |
| publisher | PAGEPress Publications |
| record_format | Article |
| series | Geospatial Health |
| spelling | doaj.art-a14fc8682c134178a71d963b3f9716692022-12-21T21:10:44ZengPAGEPress PublicationsGeospatial Health1827-19871970-70962021-11-0116210.4081/gh.2021.1008Detecting dengue outbreaks in Malaysia using geospatial techniquesSyahrul Nellis0Shih Keng Loong1Juraina Abd-Jamil2Rosmadi Fauzi3Sazaly AbuBakar4Department of Medical Microbiology, Faculty of Medicine, Universiti MalayaTropical Infectious Diseases Research and Education Centre (TIDREC), Universiti MalayaTropical Infectious Diseases Research and Education Centre (TIDREC), Universiti MalayaDepartment of Geography, Faculty of Arts and Social Sciences, Universiti Malaya, Kuala LumpurDepartment of Medical Microbiology, Faculty of Medicine, Universiti Malaya; Tropical Infectious Diseases Research and Education Centre (TIDREC), Universiti MalayaDengue 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.https://geospatialhealth.net/index.php/gh/article/view/1008Geography information systemspatial analysishealth geographyepidemiology studydengue studyMalaysia. |
| spellingShingle | Syahrul Nellis Shih Keng Loong Juraina Abd-Jamil Rosmadi Fauzi Sazaly AbuBakar Detecting dengue outbreaks in Malaysia using geospatial techniques Geospatial Health Geography information system spatial analysis health geography epidemiology study dengue study Malaysia. |
| title | 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_short | Detecting dengue outbreaks in Malaysia using geospatial techniques |
| title_sort | detecting dengue outbreaks in malaysia using geospatial techniques |
| topic | Geography information system spatial analysis health geography epidemiology study dengue study Malaysia. |
| url | https://geospatialhealth.net/index.php/gh/article/view/1008 |
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