Evidence mapPaperPMID 41818255Full record

ArticlePLoS neglected tropical diseases2026

Community participation and technological innovation: Baseline qualitative insights to inform a five-year cohort on drone-based dengue surveillance in Malaysia.

Rahmat Dapari, Safiyeh Tayebi, Ana Lorena Ruano, Timothy C Guetterman, Seok Mui Wang, Siti Hafizah Ab Hamid, Sohel Rahman, Jürgen Pilz, Nazri Che Dom, Ubydul Haque

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Article in PLoS neglected tropical diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

10 authors.

Rahmat DapariDepartment of Community Health, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia.ORCID https://orcid.org/0000-0003-3915-0340
Safiyeh TayebiDepartment of Geography, Rutgers, Rutgers University, New Brunswick, New Jersey, United States of America.
Ana Lorena RuanoCenter for International Health, Department of Global Health and Primary Care, University of Bergen, Bergen, Norway.
Timothy C GuettermanDepartment of Family Medicine, University of Michigan, Ann Arbor, Michigan, United States of America.
Seok Mui WangDepartment of Medical Microbiology & Parasitology, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh Campus, Selangor, Malaysia.
Siti Hafizah Ab HamidDepartment of Software Engineering, Faculty of Computer Science & Information Technologies, University of Malaya, Kuala Lumpur, Malaysia.
Sohel RahmanDepartment of CSE, BUET, ECE Building, West Palashi, Dhaka, Bangladesh.
Jürgen PilzAlpen-Adria University of Klagenfurt, Klagenfurt, Austria.
Nazri Che DomCentre for Environmental Health and Safety Studies, Faculty of Health Sciences, Universiti Teknologi MARA, Kampus Puncak Alam, Bandar Puncak Alam, Selangor, Malaysia.
Ubydul HaqueRutgers Global Health Institute, Rutgers University, New Brunswick, New Jersey, United States of America.ORCID https://orcid.org/0000-0002-7413-1017

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo inform a prospective cohort study five-year automated surveillance study, this study explores households and stakeholder perceptions of using drones for mosquito breeding site surveillance as part of dengue control strategies in Selangor, Malaysia. A qualitative design identified diverse perspectives across eight high-risk localities. Data were collected through 480 in-depth interviews with household heads, from a newly established cohort of households, and six key informant interviews with public health professionals. Participants were selected using typical case and expert sampling methods to ensure representation across socioeconomic and urban heterogeneity.

methodsThis study developed a conceptual framework integrating community-based vector control, public health technology adoption, and drone-assisted surveillance, structured into five stages: Inputs, Processes, Outputs, Outcomes, and Impacts. It was applied in Selangor, Malaysia, a dengue-endemic state, to assess the feasibility and perception of drone-based interventions. Data were collected through 480 in-depth household interviews and six key informant interviews with public health experts, using semi-structured formats. Thematic analysis was conducted using Braun and Clarke's approach to identify recurring patterns across technical, organizational, and social dimensions of implementation.

resultsParticipants supported drone use when positioned as mosquito breeding site monitoring tools rather than personal surveillance. Transparent communication about purpose, data use, and operational boundaries was key to maintaining trust. Targeted use in known mosquito hotspots was preferred over random surveillance. Privacy concerns were minimal, and most households strongly supported using drones for surveillance of mosquito habitats to aid in dengue control. Many simply requested advance notice of flight schedules to stay informed and engaged.

conclusionsCommunity motivation stemmed from a sense of collective responsibility, with most participants valuing their involvement as a contribution to neighborhood well-being. Trust, transparency, and consistent communication were identified as essential for long-term engagement and the success of the project. These findings underscore the importance of aligning innovation with local social dynamics and demonstrate the value of participatory approaches in public health surveillance technologies interventions.

Indexed as

AircraftCommunity ParticipationDengueMosquito ControlAedesAnimalsCohort StudiesFemaleHumansMalaysiaMaleMosquito VectorsProspective Studies

Identifiers

PMID41818255
PMCPMC12998943

What Socratic holds

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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 Socratic graph.