Evidence map›Paper›PMID 41571683›Full record

ArticleScientific reports2026

Sociodemographic determinants of willingness to adopt surveillance technology and mosquito control training for dengue in Malaysia.

Zulfadli Mahfodz, Rahmat Dapari, Siti Aekbal Salleh, Siti Nazrina Camalxaman, Ahmad Falah Aljaafre, 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.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zulfadli MahfodzCentre of Environmental Health and Safety, Faculty of Health Sciences, Universiti Teknologi MARA (UiTM), UITM Cawangan Selangor, 42300, Puncak Alam, Selangor, Malaysia.
Rahmat DapariIntegrated Dengue Research and Development, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia. drrahmat@upm.edu.my.
Siti Aekbal SallehIntegrated Mosquito Research Group (I-MeRGe), Universiti Teknologi MARA (UiTM), UITM Cawangan Selangor, 42300, Puncak Alam, Selangor, Malaysia.
Siti Nazrina CamalxamanIntegrated Mosquito Research Group (I-MeRGe), Universiti Teknologi MARA (UiTM), UITM Cawangan Selangor, 42300, Puncak Alam, Selangor, Malaysia.
Ahmad Falah AljaafreDepartment of Communication and Computer Engineering, Tafila Technical University, Tafila, 66110, Jordan.
Nazri Che DomCentre of Environmental Health and Safety, Faculty of Health Sciences, Universiti Teknologi MARA (UiTM), UITM Cawangan Selangor, 42300, Puncak Alam, Selangor, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue fever remains a major public health concern in Malaysia, where rapid urbanization and ineffective vector control measures contribute to persistent outbreaks. While drone-based mosquito surveillance and mobile applications offer innovative solutions, public acceptance and adoption remain uncertain. Additionally, community-based mosquito control training is crucial, yet participation is often influenced by sociodemographic factors. This study examines determinants influencing willingness to adopt a dengue surveillance mobile application and engage in mosquito control training programs. A cross-sectional survey was conducted across multiple states in Peninsular Malaysia, using a stratified random sampling approach. Data were collected via online and face-to-face surveys from 866 respondents (≥ 18 years, residing for at least 6 months). The questionnaire assessed sociodemographic characteristics, perceptions of drone-based surveillance and willingness to download a dengue surveillance application. Multinomial logistic regression was used to identify significant predictors of engagement. Younger respondents (18-30 years) were more likely to download the dengue surveillance app, while older individuals (> 40 years) were more interested in training programs (p < 0.05). Longer residence (> 3 years) increased willingness to adopt digital mosquito surveillance. Males were 1.9 times more likely to participate in training, while housing type influenced engagement, with terrace house residents being 1.7 times more likely to join. Negative perceptions of drone surveillance significantly reduced app adoption (p = 0.001), but training participation was unaffected. This study highlights sociodemographic disparities in dengue vector control engagement. Younger populations prefer technology-driven interventions, while older individuals favor community-based training. Addressing drone concerns, enhancing digital literacy, and integrating technology with traditional approaches is key to optimizing dengue control efforts.

Indexed as

DengueMosquito ControlAdolescentAdultAnimalsCross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHumansMalaysiaMaleMiddle AgedMobile ApplicationsSociodemographic FactorsSurveys and QuestionnairesYoung AdultDengue surveillanceDrone technologyMalaysiaMosquito control trainingSociodemographic factorsVector control

Identifiers

PMID41571683
PMCPMC12830640

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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.