Evidence map›Paper›PMID 40873886›Full record

ArticleF1000Research2024

Understanding the future of dengue in Malaysia: Assessing knowledge, attitude, and homeowner practices in mitigating climate-driven risks.

Jo Ann Andoy-Galvan, Sapna Shridhar Patil, Yin How Wong, Priya Madhavan, Lei Hum Wee, Pei Pei Chong, Chung Yeng Looi, Imam Shaik, Anitha Ponnupillai, Ameya Ashok Hasamnis and 11 more

Abstract read
In one paragraph

Article in F1000Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

21 authors.

Jo Ann Andoy-GalvanSchool of Medicine, Faculty of Health and Medical Sciences, Taylor's University, Subang Jaya, Selangor, 47500, Malaysia.ORCID https://orcid.org/0000-0003-2859-9257
Sapna Shridhar PatilSchool of Medicine, Faculty of Health and Medical Sciences, Taylor's University, Subang Jaya, Selangor, 47500, Malaysia.ORCID https://orcid.org/0000-0002-5401-2678
Yin How WongSchool of Medicine, Faculty of Health and Medical Sciences, Taylor's University, Subang Jaya, Selangor, 47500, Malaysia.
Priya MadhavanSchool of Medicine, Faculty of Health and Medical Sciences, Taylor's University, Subang Jaya, Selangor, 47500, Malaysia.ORCID https://orcid.org/0000-0001-6714-1279
Lei Hum WeeSchool of Medicine, Faculty of Health and Medical Sciences, Taylor's University, Subang Jaya, Selangor, 47500, Malaysia.
Pei Pei ChongDigital Health and Medical Advancement Impact Lab, Taylor's University, Subang Jaya, Selangor, 47500, Malaysia.
Chung Yeng LooiDigital Health and Medical Advancement Impact Lab, Taylor's University, Subang Jaya, Selangor, 47500, Malaysia.
Imam ShaikSchool of Medicine, Faculty of Health and Medical Sciences, Taylor's University, Subang Jaya, Selangor, 47500, Malaysia.
Anitha PonnupillaiSchool of Medicine, Faculty of Health and Medical Sciences, Taylor's University, Subang Jaya, Selangor, 47500, Malaysia.
Ameya Ashok HasamnisSchool of Medicine, Faculty of Health and Medical Sciences, Taylor's University, Subang Jaya, Selangor, 47500, Malaysia.
Prabal BhargavaSchool of Medicine, Faculty of Health and Medical Sciences, Taylor's University, Subang Jaya, Selangor, 47500, Malaysia.
Arasarethinam MugilarasiSchool of Medicine, Faculty of Health and Medical Sciences, Taylor's University, Subang Jaya, Selangor, 47500, Malaysia.
Eng Hwa WongSchool of Medicine, Faculty of Health and Medical Sciences, Taylor's University, Subang Jaya, Selangor, 47500, Malaysia.
Chai Hong YeongSchool of Medicine, Faculty of Health and Medical Sciences, Taylor's University, Subang Jaya, Selangor, 47500, Malaysia.
Weng Keong YauSchool of Medicine, Faculty of Health and Medical Sciences, Taylor's University, Subang Jaya, Selangor, 47500, Malaysia.ORCID https://orcid.org/0009-0008-4956-8920
Mahalingam DineshSchool of Medicine, Faculty of Health and Medical Sciences, Taylor's University, Subang Jaya, Selangor, 47500, Malaysia.
Kulankara Balan VenugopalanSchool of Medicine, Faculty of Health and Medical Sciences, Taylor's University, Subang Jaya, Selangor, 47500, Malaysia.
Nor Asiah MuhamadSector for Evidence Based Healthcare, National Institute Health,Ministry of Health, Malaysia, Malaysia.
Nur Hasnah Ma'amorSector for Evidence Based Healthcare, National Institute Health,Ministry of Health, Malaysia, Malaysia.
Izzah Athirah RosliSector for Evidence Based Healthcare, National Institute Health,Ministry of Health, Malaysia, Malaysia.
Fatin Norhasny LemanSector for Evidence Based Healthcare, National Institute Health,Ministry of Health, Malaysia, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Dengue fever poses a significant public health threat, particularly in tropical regions like Malaysia. The rising incidence of dengue outbreaks challenges healthcare systems and highlights the urgent need for effective preventive measures. Climate change, with rising temperatures and shifting rainfall patterns, is expected to worsen the dengue situation in the coming years. Methods: . This is a cross-sectional study conducted among adult residents of low-cost housing apartments in an urban poor community in Kuala Lumpur, Malaysia involving approximately 16,000 residents. A representative sample of 1,636 residents was calculated using the Krejcie and Morgan formula, and stratified random sampling was used to ensure proportional representation across the various floors of each PPR community apartment block. Data were collected using a structured questionnaire adapted from a validated Malay version. The questionnaire assessed respondents' knowledge, attitudes, and practices (KAP) related to dengue prevention, categorising KAP scores as "Good" (≥80%) or "Poor" (<80%). Descriptive statistics summarized population characteristics and KAP scores, while logistic regression identified predictors of KAP levels, with significance set at p ≤ 0.05. Results: In this community, 76.7% of participants exhibited poor knowledge and 83.1% had a negative attitude towards dengue, despite 66.7% demonstrating good preventive practices. The PPR location significantly predicts dengue knowledge, attitudes, and preventive practices, with p-values of less than 0.001 for all domains. Marital status also predicts dengue knowledge (p = 0.007) and preventive practices (p = 0.023), while prior infection with dengue is a predictor of preventive practices (p = 0.047). Conclusion: Despite the community's good dengue prevention practices, likely influenced by environmental expectations, there remains a critical need for education to sustain and strengthen these efforts, as climate change continues to worsen in the coming years. It is crucial to help residents grasp the relevance of these practices, so they can apply them more effectively as climate-driven risks intensify. Targeted interventions should de designed differently for each of the four PPR communities as their levels of knowledge, attitude and practices vary significantly, taking into account independent factors like marital status and prior dengue infection, which shape preventive behaviors.

Indexed as

Climate ChangeDengueHealth Knowledge, Attitudes, PracticeAdultCross-Sectional StudiesFemaleHousingHumansMalaysiaMaleMiddle AgedSurveys and QuestionnairesYoung AdultattitudeKeywords: dengueknowledgePPRpractices

Identifiers

PMID40873886
PMCPMC12378623

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.