Spatial and breeding site analysis of Aedes spp. at dengue-prone areas in Kuala Lumpur, Malaysia.
Understanding Aedes breeding sites is crucial for effective vector control, yet the application of Geographic Information Systems (GIS) and spatial analysis in Kuala Lumpur is limited. This study explores the spatial distribution and characteristics of Aedes aegypti and Aedes albopictus breeding sit...
| Publicado en: | International Journal of Environmental Health Research Vol. 36; no. 1; pp. 93 - 113 |
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| Autores principales: | , , , , , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Jan2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=190647850&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 190647850 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09603123 57L jtl: International Journal of Environmental Health Research issn: 09603123 maglogo: Y pubinfo: dt: Jan2026 vid: 36 iid: 1 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 190647850 184364912 190647850 190647850 10.1080/09603123.2025.2488484 190647850 ppf: 93 ppct: 20 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Spatial and breeding site analysis of Aedes spp. at dengue-prone areas in Kuala Lumpur, Malaysia. aug: au: M, Mohd Amierul Fikri Ar, Faizul Akmal M, Eida Nurhadzira H, Mohd Hazrin S, Hanipah H, Izfa Riza affil: Institute for Public Health, National Health Institutes, Ministry of Health Malaysia, Shah Alam, Malaysia sug: subj: Geographic Information Systems Geographic Factors Evaluation Reproduction Techniques Evaluation Mosquitoes Dengue Risk Factors Malaysia Human Logistic Regression Factor Analysis Water Supply Equipment and Supplies Larva Analysis Risk Assessment Surveys Spatial Perception Public Spaces Residence Characteristics Descriptive Statistics Odds Ratio Confidence Intervals Data Analysis, Statistical Methods Software Data Analysis Software Chi Square Test Univariate Statistics Multivariate Analysis Disease Hotspot ab: Understanding Aedes breeding sites is crucial for effective vector control, yet the application of Geographic Information Systems (GIS) and spatial analysis in Kuala Lumpur is limited. This study explores the spatial distribution and characteristics of Aedes aegypti and Aedes albopictus breeding sites in dengue-prone areas of Bandar Tasik Selatan. Entomological data from the Kuala Lumpur Health Department (2022–2023) were analyzed using Average Nearest Neighbor (ANN), Global Moran's I, and Kernel Density Estimation (KDE). Logistic regression and principal component analyses (PCA) were used to assess breeding site characteristics. Of 6,027 water containers inspected, 402 (6.7%) were positive for Aedes larvae. ANN and Moran's I analyses revealed significant clustering in Zone A and Zone B, while KDE identified breeding hotspots. Logistic regression indicated higher risk in plastic (aOR = 69.58), rubber (aOR = 35.11), and cement (aOR = 24.70) containers, while rainwater (aOR = 0.24), tap water (aOR = 0.27), and partial shading (aOR = 0.41) reduced risk. PCA revealed key breeding site variations across residential, public, school, and food areas. These findings support targeted vector control, efficient resource allocation, and tailored interventions to mitigate dengue risks in high-priority areas. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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