Spatial density of Aedes distribution in urban areas: a case study of breteau index in Kuala Lumpur, Malaysia

Background& Objectives: Dengue fever (DF) is a major vector-borne disease in Malaysia. The incidences of DF in Malaysia are caused by viruses transmitted through the bites of infected female Aedes albopictus and Ae. aegypti mosquitoes. This study aims to establish the spatial density of mosquito...

Full description

Bibliographic Details
Main Authors: Aziz, S., Aidil, R.M., Nisfariza, M.N.M., Ngui, R., Lim, Y.A.L., Wan Yusoff, W.S.
Format: Article
Published: Medknow Publications 2014
Subjects:
_version_ 1796946346919329792
author Aziz, S.
Aidil, R.M.
Nisfariza, M.N.M.
Ngui, R.
Lim, Y.A.L.
Wan Yusoff, W.S.
author_facet Aziz, S.
Aidil, R.M.
Nisfariza, M.N.M.
Ngui, R.
Lim, Y.A.L.
Wan Yusoff, W.S.
author_sort Aziz, S.
collection UM
description Background& Objectives: Dengue fever (DF) is a major vector-borne disease in Malaysia. The incidences of DF in Malaysia are caused by viruses transmitted through the bites of infected female Aedes albopictus and Ae. aegypti mosquitoes. This study aims to establish the spatial density of mosquito population or breteau index (BI) in the areas of Kuala Lumpur using geographic information system (GIS), remote sensing (RS) and spatial statistical tools. Method: The 2010 weekly report data of BI obtained from the Ministry of Health (MoH) and the 2010 monthly rainfall data obtained from Malaysia Meteorological Services Department were analyzed using RS and spatial statistical tools to show the spatial correlation of dengue in each zone in Kuala Lumpur. The Kernel density was implemented to identify the better dengue hotspot localities. Results: RESULTS indicated a strong significant positive relationship between the number of localities with high BI and monthly rainfall (r = 0.64; p = 0.024). In addition, types of landuse did not appear to influence the mosquito's population (Built-up: r = 0.16, p = 0.118; Cleared area: r = - 0.107, p = 0.304; Vegetation dense: r = - 0.206, p = 0.046; Vegetation sparse: r = 0.023, p = 0.823; and Water: r = 0.246, p = 0.016). Interpretation& Conclusion: In the present study, several hotspots identified will be beneficial to assist the local health authorities to reduce and eradicate mosquitoes in these areas. These results will provide valuable information through the application of advanced tools in combating Aedes mosquitoes.
first_indexed 2024-03-06T05:30:19Z
format Article
id um.eprints-12086
institution Universiti Malaya
last_indexed 2024-03-06T05:30:19Z
publishDate 2014
publisher Medknow Publications
record_format dspace
spelling um.eprints-120862015-01-15T03:55:34Z http://eprints.um.edu.my/12086/ Spatial density of Aedes distribution in urban areas: a case study of breteau index in Kuala Lumpur, Malaysia Aziz, S. Aidil, R.M. Nisfariza, M.N.M. Ngui, R. Lim, Y.A.L. Wan Yusoff, W.S. R Medicine Background& Objectives: Dengue fever (DF) is a major vector-borne disease in Malaysia. The incidences of DF in Malaysia are caused by viruses transmitted through the bites of infected female Aedes albopictus and Ae. aegypti mosquitoes. This study aims to establish the spatial density of mosquito population or breteau index (BI) in the areas of Kuala Lumpur using geographic information system (GIS), remote sensing (RS) and spatial statistical tools. Method: The 2010 weekly report data of BI obtained from the Ministry of Health (MoH) and the 2010 monthly rainfall data obtained from Malaysia Meteorological Services Department were analyzed using RS and spatial statistical tools to show the spatial correlation of dengue in each zone in Kuala Lumpur. The Kernel density was implemented to identify the better dengue hotspot localities. Results: RESULTS indicated a strong significant positive relationship between the number of localities with high BI and monthly rainfall (r = 0.64; p = 0.024). In addition, types of landuse did not appear to influence the mosquito's population (Built-up: r = 0.16, p = 0.118; Cleared area: r = - 0.107, p = 0.304; Vegetation dense: r = - 0.206, p = 0.046; Vegetation sparse: r = 0.023, p = 0.823; and Water: r = 0.246, p = 0.016). Interpretation& Conclusion: In the present study, several hotspots identified will be beneficial to assist the local health authorities to reduce and eradicate mosquitoes in these areas. These results will provide valuable information through the application of advanced tools in combating Aedes mosquitoes. Medknow Publications 2014-06 Article PeerReviewed Aziz, S. and Aidil, R.M. and Nisfariza, M.N.M. and Ngui, R. and Lim, Y.A.L. and Wan Yusoff, W.S. (2014) Spatial density of Aedes distribution in urban areas: a case study of breteau index in Kuala Lumpur, Malaysia. Journal of Vector Borne Diseases, 51 (2). pp. 91-96. ISSN 0972-9062, http://www.mrcindia.org/journal/issues/512091.pdf
spellingShingle R Medicine
Aziz, S.
Aidil, R.M.
Nisfariza, M.N.M.
Ngui, R.
Lim, Y.A.L.
Wan Yusoff, W.S.
Spatial density of Aedes distribution in urban areas: a case study of breteau index in Kuala Lumpur, Malaysia
title Spatial density of Aedes distribution in urban areas: a case study of breteau index in Kuala Lumpur, Malaysia
title_full Spatial density of Aedes distribution in urban areas: a case study of breteau index in Kuala Lumpur, Malaysia
title_fullStr Spatial density of Aedes distribution in urban areas: a case study of breteau index in Kuala Lumpur, Malaysia
title_full_unstemmed Spatial density of Aedes distribution in urban areas: a case study of breteau index in Kuala Lumpur, Malaysia
title_short Spatial density of Aedes distribution in urban areas: a case study of breteau index in Kuala Lumpur, Malaysia
title_sort spatial density of aedes distribution in urban areas a case study of breteau index in kuala lumpur malaysia
topic R Medicine
work_keys_str_mv AT azizs spatialdensityofaedesdistributioninurbanareasacasestudyofbreteauindexinkualalumpurmalaysia
AT aidilrm spatialdensityofaedesdistributioninurbanareasacasestudyofbreteauindexinkualalumpurmalaysia
AT nisfarizamnm spatialdensityofaedesdistributioninurbanareasacasestudyofbreteauindexinkualalumpurmalaysia
AT nguir spatialdensityofaedesdistributioninurbanareasacasestudyofbreteauindexinkualalumpurmalaysia
AT limyal spatialdensityofaedesdistributioninurbanareasacasestudyofbreteauindexinkualalumpurmalaysia
AT wanyusoffws spatialdensityofaedesdistributioninurbanareasacasestudyofbreteauindexinkualalumpurmalaysia