Developing a vulnerability mapping methodology: Applying the water-associated disease index to dengue in Malaysia
| dc.contributor.author | Dickin, Sarah K. | |
| dc.contributor.author | Schuster-Wallace, Corinne J. | |
| dc.contributor.author | Elliott, Susan J. | |
| dc.date.accessioned | 2026-06-15T20:17:54Z | |
| dc.date.available | 2026-06-15T20:17:54Z | |
| dc.date.issued | 2013-05-08 | |
| dc.description | International Development Research Centre (IDRC), CoPEH-Can research award || Social Sciences and Humanities Research Council of Canada (SSHRC). | |
| dc.description.abstract | The Water-associated Disease Index (WADI) was developed to identify and visualize vulnerability to different water-associated diseases by integrating a range of social and biophysical determinants in map format. In this study vulnerability is used to encompass conditions of exposure, susceptibility, and differential coping capacity to a water-associated health hazard. By assessing these conditions, the tool is designed to provide stakeholders with an integrated and long-term understanding of subnational vulnerabilities to water-associated disease and contribute to intervention strategies to reduce the burden of illness. The objective of this paper is to describe and validate the WADI tool by applying it to dengue. A systemic ecohealth framework that considers links between people, the environment and health was applied to identify secondary datasets, populating the index with components including climate conditions, land cover, education status and water use practices. Data were aggregated to create composite indicators of exposure and of susceptibility in a Geographic Information System (GIS). These indicators were weighted by their contribution to dengue vulnerability, and the output consisted of an overall index visualized in map format. The WADI was validated in this Malaysia case study, demonstrating a significant association with dengue rates at a sub-national level, and illustrating a range of factors that drive vulnerability to the disease within the country. The index output indicated high vulnerability to dengue in urban areas, especially in the capital Kuala Lumpur and surrounding region. However, in other regions, vulnerability to dengue varied throughout the year due to the influence of seasonal climate conditions, such as monsoon patterns. The WADI tool complements early warning models for water-associated disease by providing upstream information for planning prevention and control approaches, which increasingly require a comprehensive and geographically broad understanding of vulnerability for implementation. | |
| dc.description.sponsorship | © 2013 Dickin et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. | |
| dc.identifier.uri | https://doi.org/10.1371/journal.pone.0063584 | |
| dc.identifier.uri | https://hdl.handle.net/10012/23614 | |
| dc.language.iso | en | |
| dc.publisher | Public Library of Science | |
| dc.relation.ispartofseries | PLoS ONE; 8(5); e63584 | |
| dc.rights | Attribution 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | dengue fever | |
| dc.subject | Malaysia | |
| dc.subject | rain | |
| dc.subject | infectious disease control | |
| dc.subject | population density | |
| dc.subject | climate change | |
| dc.subject | biophysics | |
| dc.subject | global health | |
| dc.title | Developing a vulnerability mapping methodology: Applying the water-associated disease index to dengue in Malaysia | |
| dc.type | Article | |
| dcterms.bibliographicCitation | Dickin SK, Schuster-Wallace CJ, Elliott SJ (2013) Developing a Vulnerability Mapping Methodology: Applying the Water-Associated Disease Index to Dengue in Malaysia. PLoS ONE 8(5): e63584. https://doi.org/10.1371/journal.pone.0063584 | |
| uws.contributor.affiliation1 | Faculty of Health | |
| uws.contributor.affiliation2 | School of Public Health Sciences | |
| uws.peerReviewStatus | Reviewed | |
| uws.scholarLevel | Faculty | |
| uws.typeOfResource | Text | en |