Evidence map›Paper›PMID 42286164›Full record

ArticleScientific reports2026

Retrospective GIS-based spatial analysis of dengue case distribution across housing typologies in Malaysia.

Muhammad Syamsul Hazry Yahya, Siti Aekbal Salleh, Nabilah Naharudin, Eran Sadek Said Md Sadek, Rahmat Dapari, Ahmad Mohiddin Mohd Ngesom, Zul Aizat Mohamad Fisal, Nazri Che Dom

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In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Muhammad Syamsul Hazry YahyaFaculty of Health Sciences, Universiti Teknologi MARA (UiTM), UITM Cawangan Selangor, Puncak Alam, 42300, Selangor, Malaysia.
Siti Aekbal SallehInstitute for Biodiversity and Sustainable Development (IBSD), Universiti Teknologi MARA, Shah Alam, Malaysia.
Nabilah NaharudinFaculty of Bulit Environment, Universiti Teknologi MARA, Shah Alam, 40000, Selangor, Malaysia.
Eran Sadek Said Md SadekFaculty of Bulit Environment, Universiti Teknologi MARA, Shah Alam, 40000, Selangor, Malaysia.
Rahmat DapariDepartment of Community Health, Universiti Putra Malaysia, Serdang, 43400, Selangor, Malaysia.
Ahmad Mohiddin Mohd NgesomSelangor State Health Department, Pest and Entomological Unit, Shah Alam, 40100, Selangor, Malaysia.
Zul Aizat Mohamad FisalKuala Selangor District Health Office, Ministry of Health, Malaysia, Kuala Selangor, 45000, Selangor, Malaysia.
Nazri Che DomFaculty of Health Sciences, Universiti Teknologi MARA (UiTM), UITM Cawangan Selangor, Puncak Alam, 42300, Selangor, Malaysia. nazricd@uitm.edu.my.

Funding

Industrial fund RMI File No: UITM.800-3/3 PRI (092/2025
6 · The paper itself

Abstract

Dengue transmission remains a major public health challenge in rapidly urbanising regions, yet spatial risk patterns may vary across residential environments. This study investigated how housing typology, surrounding land use, and built-vegetation interfaces may represent environmental zones associated with elevated dengue occurrence in Kuala Selangor, Malaysia. Using validated georeferenced dengue surveillance records collected between 2020 and 2024, we applied GIS-based spatial analyses across three dominant residential housing typologies: terrace/landed housing, high-rise housing, and traditional/rural housing. Terrace housing demonstrated relatively stronger and more spatially continuous clustering patterns compared with other housing environments. Dengue occurrence in these areas was more closely associated with dense built-up surroundings and nearby vegetation. High-rise housing showed more localized clustering within highly built environments, whereas traditional and rural housing exhibited broader but weaker clustering patterns across more environmentally mixed landscapes. Overall, the findings suggest that dengue spatial distribution patterns differ according to housing structure and surrounding environmental context. The built-vegetation interface may represent an important environmental zone associated with elevated residential dengue occurrence, particularly in dense terrace housing settings. These findings highlight the importance of adapting vector control strategies to local residential environments, including targeted management of peri-domestic vegetation in terrace housing, infrastructure-focused interventions in high-rise settings, and broader environmental management approaches in rural areas.

Indexed as

DengueGeographic Information SystemsHousingHumansMalaysiaRetrospective StudiesSpatial AnalysisBuilt–vegetation interfaceDengue transmissionHousing typologyLand useSpatial epidemiology

Identifiers

PMID42286164
PMCPMC13519008

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.