Evidence map›Paper›PMID 41620533›Full record

ArticleScientific reports2026

Housing structure shapes dengue transmission dynamics in a rapidly urbanizing Malaysian district.

Nazri Che Dom, Amni Nurhusna Shahrul Hisyam, Muhammad Nabil Saeman, Nurul Athirah Abd Latib, Muhammad Imanudin Ramli, Zul Aizat Mohamad Fisal, Nornasyuha Mohd Yusoff, Mohd Azuraidi Osman, Rahmat Dapari, Siti Aekbal Salleh

Abstract read
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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

10 authors.

Nazri Che DomCentre of Environmental Health and Safety, Faculty of Health Sciences, Universiti Teknologi MARA (UiTM), UITM Selangor, 42300, Puncak Alam, Selangor, Malaysia. nazricd@uitm.edu.my.
Amni Nurhusna Shahrul HisyamCentre of Environmental Health and Safety, Faculty of Health Sciences, Universiti Teknologi MARA (UiTM), UITM Selangor, 42300, Puncak Alam, Selangor, Malaysia.
Muhammad Nabil SaemanCentre of Environmental Health and Safety, Faculty of Health Sciences, Universiti Teknologi MARA (UiTM), UITM Selangor, 42300, Puncak Alam, Selangor, Malaysia.
Nurul Athirah Abd LatibCentre of Environmental Health and Safety, Faculty of Health Sciences, Universiti Teknologi MARA (UiTM), UITM Selangor, 42300, Puncak Alam, Selangor, Malaysia.
Muhammad Imanudin RamliCentre of Environmental Health and Safety, Faculty of Health Sciences, Universiti Teknologi MARA (UiTM), UITM Selangor, 42300, Puncak Alam, Selangor, Malaysia.
Zul Aizat Mohamad FisalKuala Selangor District Health Office, 45000, Kuala Selangor, Selangor, Malaysia.
Nornasyuha Mohd YusoffKuala Selangor District Health Office, 45000, Kuala Selangor, Selangor, Malaysia.
Mohd Azuraidi OsmanDepartment of Cell and Molecular Biology, Faculty of Biotechnology & Biomolecular Sciences, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia.
Rahmat DapariDepartment of Community Health, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia.
Siti Aekbal SallehInstitute of Biodiversity and Sustainable Development, Universiti Teknologi Mara (UiTM), 40450, Shah Alam, Selangor, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue fever continues to pose a significant public health threat in Malaysia, particularly in peri-urban districts undergoing rapid residential expansion. However, the extent to which housing structures influence dengue transmission remains poorly quantified. This study investigated the temporal, proportional, and spatial dynamics of dengue across five housing categories; landed properties, high-rise residential units, traditional/rural houses, institutional quarters, and others in Kuala Selangor from 2020 to 2024. A total of 5,426 laboratory-confirmed dengue cases obtained from the national e-Notifikasi system were geocoded and classified by housing type. Temporal trends were examined using weekly epidemic curves, proportional contributions were calculated for each housing category, and spatial clustering was assessed using Kernel Density Estimation (KDE) in ArcGIS Pro. Landed properties were the dominant transmission environment, contributing 73.4% of all cases and consistently driving major seasonal peaks during epidemiological weeks 20-35, coinciding with the southwest monsoon. High-rise residential areas accounted for 16.1% of cases and exhibited persistent low-level transmission throughout the year, indicating a potential role as an endemic reservoir between epidemic cycles. Traditional/rural houses (5.5%), institutional quarters (3.4%), and other categories (1.6%) contributed only sporadically. KDE mapping revealed persistent hotspots in central and southern Kuala Selangor, primarily within peri-urban landed housing estates, with smaller recurrent clusters in high-rise complexes. These findings demonstrate that housing typology is a critical determinant of dengue transmission risk. Landed properties amplify monsoon-driven outbreaks through abundant outdoor breeding habitats, while high-rise buildings sustain inter-epidemic transmission via sheltered, indoor breeding sites. Integrating housing-specific intelligence into Malaysia's Integrated Vector Management (IVM) framework can enable more targeted, proactive, and spatially adaptive dengue prevention strategies.

Indexed as

DengueHousingUrbanizationAedesAnimalsHumansMalaysiaSeasonsDengue transmissionHousing typologySpatial epidemiologyTemporal analysisVector management

Identifiers

PMID41620533
PMCPMC12916748

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LicenceCC BY-NC-ND
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Registered trials

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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.