Mapping dengue susceptibility in Dhaka city: a geospatial multi-criteria approach integrating environmental and demographic factors

Hoque, MAA; Sardar, ML; Mukul, SA; Pradhan, B

Mapping dengue susceptibility in Dhaka city: a geospatial multi-criteria approach integrating environmental and demographic factors

Hoque, MAA Sardar, ML Mukul, SA Pradhan, B

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Publisher:: SPRINGER SINGAPORE PTE LTD
Publication Type:: Journal Article
Citation:: Spatial Information Research, 2025, 33, (4)
Issue Date:: 2025-08-01

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Field	Value	Language
dc.contributor.author	Hoque, MAA
dc.contributor.author	Sardar, ML
dc.contributor.author	Mukul, SA
dc.contributor.author	Pradhan, B
dc.date.accessioned	2025-07-15T06:53:41Z
dc.date.available	2025-07-15T06:53:41Z
dc.date.issued	2025-08-01
dc.identifier.citation	Spatial Information Research, 2025, 33, (4)
dc.identifier.issn	2366-3286
dc.identifier.issn	2366-3294
dc.identifier.uri	http://hdl.handle.net/10453/188413
dc.description.abstract	Dengue, a rapidly spreading mosquito-borne disease, poses a serious public health threat in tropical cities like Dhaka, Bangladesh—one of the world’s most densely populated megacities. In 2023 alone, Dhaka experienced its worst outbreak, recording 321,179 cases and 1,705 deaths. This study aims to assess dengue susceptibility across Dhaka using a geospatial Multi-Criteria Decision-Making (MCDM) approach. Fourteen environmental and demographic factors were selected, and thematic raster layers were developed and weighted using the Analytical Hierarchy Process (AHP). These layers were integrated to generate spatial dengue susceptibility maps, highlighting risk zones across the city. Findings reveal that southern and southeastern Dhaka, particularly under the South City Corporation, are highly susceptible based on environmental factors. Demographic analysis shows moderate to very high susceptibility in central and southern wards, with population density and proximity to waterlogged areas identified as key drivers. The model was validated through field surveys with 80 stakeholders, with 67.5% agreeing with the susceptibility classifications. This study provides a scalable and transferable framework for dengue risk assessment and can inform targeted interventions in other endemic regions. The results offer critical guidance for urban health planning, vector control, and resource allocation to mitigate dengue and similar vector-borne diseases.
dc.language	English
dc.publisher	SPRINGER SINGAPORE PTE LTD
dc.relation.ispartof	Spatial Information Research
dc.relation.isbasedon	10.1007/s41324-025-00635-y
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	4601 Applied computing
dc.subject.classification	4905 Statistics
dc.title	Mapping dengue susceptibility in Dhaka city: a geospatial multi-criteria approach integrating environmental and demographic factors
dc.type	Journal Article
utslib.citation.volume	33
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	University of Technology Sydney/UTS Groups
pubs.organisational-group	University of Technology Sydney/UTS Groups/Centre for Advanced Modelling and Geospatial lnformation Systems (CAMGIS)
pubs.organisational-group	University of Technology Sydney/UTS Groups/Centre for Advanced Modelling and Geospatial lnformation Systems (CAMGIS)/Centre for Advanced Modelling and Geospatial lnformation Systems (CAMGIS) Associate Members
utslib.copyright.status	open_access	*
dc.rights.license	This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/
dc.date.updated	2025-07-15T06:53:37Z
pubs.issue	4
pubs.publication-status	Accepted
pubs.volume	33
utslib.citation.issue	4

Abstract:

Dengue, a rapidly spreading mosquito-borne disease, poses a serious public health threat in tropical cities like Dhaka, Bangladesh—one of the world’s most densely populated megacities. In 2023 alone, Dhaka experienced its worst outbreak, recording 321,179 cases and 1,705 deaths. This study aims to assess dengue susceptibility across Dhaka using a geospatial Multi-Criteria Decision-Making (MCDM) approach. Fourteen environmental and demographic factors were selected, and thematic raster layers were developed and weighted using the Analytical Hierarchy Process (AHP). These layers were integrated to generate spatial dengue susceptibility maps, highlighting risk zones across the city. Findings reveal that southern and southeastern Dhaka, particularly under the South City Corporation, are highly susceptible based on environmental factors. Demographic analysis shows moderate to very high susceptibility in central and southern wards, with population density and proximity to waterlogged areas identified as key drivers. The model was validated through field surveys with 80 stakeholders, with 67.5% agreeing with the susceptibility classifications. This study provides a scalable and transferable framework for dengue risk assessment and can inform targeted interventions in other endemic regions. The results offer critical guidance for urban health planning, vector control, and resource allocation to mitigate dengue and similar vector-borne diseases.

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http://hdl.handle.net/10453/188413