Spatiotemporal evolution of dengue hotspots in Kuantan, Malaysia: A decade-long geospatial analysis for adaptive vector control

<h2>ABSTRACT</h2><h3>Problem considered</h3> Dengue continues to pose a major public health burden in Malaysia, particularly in rapidly urbanising districts where shifting land-use patterns influence transmission dynamics. Despite increasing case numbers, evidence on long-term hotspot trajectories at the district scale remains limited. This study examined a decade of dengue transmission in Kuantan District, Malaysia by integrating detailed land-use characteristics with epidemiological and population data to identify persistent, emerging, and expanding hotspots. <h3>Methods</h3> A retrospective spatiotemporal analysis was conducted using laboratory-confirmed dengue cases reported from 2014 to 2023. Case data were geocoded and aggregated at the sub-district level. Residential, commercial, industrial, and green-area land-use layers were standardised and spatially overlaid with dengue incidence rates to quantify their contribution to hotspot formation. Annual incidence rates were calculated to provide a precise measure of disease intensity across sub-districts. A multi-stage geospatial framework comprising Kernel Density Estimation, Space–Time Cube modelling, Mann–Kendall trend analysis, Emerging Hotspot Analysis, and Local Moran's I was applied to evaluate hotspot intensity, persistence, and spatial evolution. <h3>Results</h3> A total of 38,412 dengue cases were documented, with an average annual incidence of 386.5 cases per 100,000 population. Major peaks occurred in 2019 (624.5 per 100,000; 6,213 cases) and 2022 (578.2 per 100,000; 5,876 cases). Persistent hotspots increased from five in 2016 to nine in 2023, primarily within high-density residential and mixed-commercial zones identified through the land-use overlay analysis. Transitional hotspots frequently emerged in peri-urban areas undergoing rapid land-use change before stabilising. Local Moran's I showed significant High–High clusters in the urban core (Moran's I=0.41, p < 0.01). <h3>Conclusion</h3> Dengue transmission in Kuantan has become increasingly entrenched, driven by urban density, mixed land-use development, and peri-urban expansion. Proactive, land-use-informed hotspot surveillance is essential for strengthening targeted dengue control.

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Publication Details

Journal
Clinical Epidemiology and Global Health
Published
2025-12-30
DOI
https://doi.org/10.1016/j.cegh.2025.102273
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
0.00

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article

Spatiotemporal evolution of dengue hotspots in Kuantan, Malaysia: A decade-long geospatial analysis for adaptive vector control

Nazri Che Dom, Zulkifli Abdul Hadi, Agus Naba, Ahmad Mohiddin Mohd Ngesom
Clinical Epidemiology and Global Health
Mosquito-borne diseases and control
article

Spatiotemporal evolution of dengue hotspots in Kuantan, Malaysia: A decade-long geospatial analysis for adaptive vector control

Nazri Che Dom, Zulkifli Abdul Hadi, Agus Naba, Ahmad Mohiddin Mohd Ngesom
article en

Abstract

<h2>ABSTRACT</h2><h3>Problem considered</h3> Dengue continues to pose a major public health burden in Malaysia, particularly in rapidly urbanising districts where shifting land-use patterns influence transmission dynamics. Despite increasing case numbers, evidence on long-term hotspot trajectories at the district scale remains limited. This study examined a decade of dengue transmission in Kuantan District, Malaysia by integrating detailed land-use characteristics with epidemiological and population data to identify persistent, emerging, and expanding hotspots. <h3>Methods</h3> A retrospective spatiotemporal analysis was conducted using laboratory-confirmed dengue cases reported from 2014 to 2023. Case data were geocoded and aggregated at the sub-district level. Residential, commercial, industrial, and green-area land-use layers were standardised and spatially overlaid with dengue incidence rates to quantify their contribution to hotspot formation. Annual incidence rates were calculated to provide a precise measure of disease intensity across sub-districts. A multi-stage geospatial framework comprising Kernel Density Estimation, Space–Time Cube modelling, Mann–Kendall trend analysis, Emerging Hotspot Analysis, and Local Moran's I was applied to evaluate hotspot intensity, persistence, and spatial evolution. <h3>Results</h3> A total of 38,412 dengue cases were documented, with an average annual incidence of 386.5 cases per 100,000 population. Major peaks occurred in 2019 (624.5 per 100,000; 6,213 cases) and 2022 (578.2 per 100,000; 5,876 cases). Persistent hotspots increased from five in 2016 to nine in 2023, primarily within high-density residential and mixed-commercial zones identified through the land-use overlay analysis. Transitional hotspots frequently emerged in peri-urban areas undergoing rapid land-use change before stabilising. Local Moran's I showed significant High–High clusters in the urban core (Moran's I=0.41, p < 0.01). <h3>Conclusion</h3> Dengue transmission in Kuantan has become increasingly entrenched, driven by urban density, mixed land-use development, and peri-urban expansion. Proactive, land-use-informed hotspot surveillance is essential for strengthening targeted dengue control.

Clinical Epidemiology and Global HealthVol. 37
Ministry of Health (MY), University of Brawijaya (ID), Universiti Teknologi MARA System (MY), Universiti Teknologi MARA (MY)
Universiti Teknologi MARA, Universitas Brawijaya, Kementerian Kesihatan Malaysia
Sustainable cities and communities
Openalex Percentile: Top 26%
Mosquito-borne diseases and control
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