Nellis, Syahrul and Loong, Shih Keng and Abd-Jamil, Juraina and Fauzi, Rosmadi and AbuBakar, Sazaly (2021) Detecting dengue outbreaks in Malaysia using geospatial techniques. Geospatial Health, 16 (2). ISSN 1827-1987, DOI https://doi.org/10.4081/gh.2021.1008.
Full text not available from this repository.Abstract
Dengue is a complex disease with an increasing number of infec-tions 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, tem-perature (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.
Item Type: | Article |
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Funders: | Ministry of Education, Malaysia (MO002-2019), University Malaya Postgraduate Research Fund (PF126-2012B), Ministry of Higher Education, Malaysia MyBrain15 scholarship |
Uncontrolled Keywords: | Geography information system; Spatial analysis; Health geography; Epidemiology study; Dengue study; Malaysia |
Subjects: | R Medicine > RA Public aspects of medicine |
Divisions: | Faculty of Arts and Social Sciences Faculty of Medicine Deputy Vice Chancellor (Research & Innovation) Office > Tropical Infectious Diseases Research and Education Centre |
Depositing User: | Ms Zaharah Ramly |
Date Deposited: | 31 Mar 2022 07:54 |
Last Modified: | 31 Mar 2022 07:54 |
URI: | http://eprints.um.edu.my/id/eprint/27854 |
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