ArticleMalaria journal2021
The application of drones for mosquito larval habitat identification in rural environments: a practical approach for malaria control?
Article in Malaria journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05893134 (Identification of Risk Determinants of Dengue Transmission Through Landscape Analysis in the Neighborhood "El Vergel", Tapachula, Chiapas), which is not on this map. Cited by 29 papers.
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.
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.
Identification of Risk Determinants of Dengue Transmission Through Landscape Analysis in the Neighborhood "El Vergel", Tapachula, Chiapas
Who cites it
29 citing papers in PubMed, 77 citations in OpenAlex.
- Community participatory mapping of malaria mosquito breeding sites in Mozambique.Malaria journal · 2024Trial
- Deep learning identifies water bodies from low-cost drone images for mosquito larval habitat mapping.Scientific reports · 2026Article
- Semi-field experiments and sibship analyses reveal larval habitat size preferences and skip oviposition behaviour in female Anopheles arabiensis.Parasites & vectors · 2026Article
- High-resolution automated mapping of potential Aedes larval container habitats using drone imagery and supervised machine learning in Dar es Salaam, Tanzania.PLoS neglected tropical diseases · 2026Article
- EnhancingRemote sensing applications : society and environment · 2026Article
- New frontiers for unmanned aerial vehicles in planetary health research.BMC global and public health · 2026Review
- Sublethal Pyriproxyfen Exposure AltersInsects · 2026Article
- How technologies are driving digital innovation in mosquito surveillance systems: a global scoping review over the past decade.BMJ public health · 2026Article
- Integrating causal inference and machine learning to quantify climate-malaria relationships: Evidence of temperature and rainfall thresholds from Colombian municipalities.PLOS global public health · 2026Article
- Article
- A large-scale mosquito larviciding in Tanga Region, Tanzania, reduced mosquito densities to varying degrees across malaria transmission risk strata.Scientific reports · 2025Article
- Know your enemy: understanding mosquito biology to advance malaria elimination in Africa.Parasitology research · 2025Review
- The impact of Bacillus thuringiensis var. israelensis (VectobacMalaria journal · 2024Article
- Using image segmentation models to analyse high-resolution earth observation data: new tools to monitor disease risks in changing environments.International journal of health geographics · 2024Article
- Digital Transformation of Public Health for Noncommunicable Diseases: Narrative Viewpoint of Challenges and Opportunities.JMIR public health and surveillance · 2024Article
- Ethical considerations related to drone use for environment and health research: A scoping review protocol.PloS one · 2024Article
- Investigating the Impact of Irrigation on Malaria Vector Larval Habitats and Transmission Using a Hydrology-Based Model.GeoHealth · 2023Article
- Cost and quality of operational larviciding using drones and smartphone technology.Malaria journal · 2023Article
- Sterilized Anopheles funestus can autodisseminate sufficient pyriproxyfen to the breeding habitat under semi-field settings.Malaria journal · 2023Article
- Use of unmanned ground vehicle systems in urbanized zones: A study of vector Mosquito surveillance in Kaohsiung.PLoS neglected tropical diseases · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundSpatio-temporal trends in mosquito-borne diseases are driven by the locations and seasonality of larval habitat. One method of disease control is to decrease the mosquito population by modifying larval habitat, known as larval source management (LSM). In malaria control, LSM is currently considered impractical in rural areas due to perceived difficulties in identifying target areas. High resolution drone mapping is being considered as a practical solution to address this barrier. In this paper, the authors' experiences of drone-led larval habitat identification in Malawi were used to assess the feasibility of this approach.
methodsDrone mapping and larval surveys were conducted in Kasungu district, Malawi between 2018 and 2020. Water bodies and aquatic vegetation were identified in the imagery using manual methods and geographical object-based image analysis (GeoOBIA) and the performances of the classifications were compared. Further, observations were documented on the practical aspects of capturing drone imagery for informing malaria control including cost, time, computing, and skills requirements. Larval sampling sites were characterized by biotic factors visible in drone imagery and generalized linear mixed models were used to determine their association with larval presence.
resultsImagery covering an area of 8.9 km
conclusionsThis study demonstrates the potential for drone-acquired imagery to support mosquito larval habitat identification in rural, malaria-endemic areas, although technical challenges were identified which may hinder the scale up of this approach. Potential solutions have however been identified, including strengthening linkages with the flourishing drone industry in countries such as Malawi. Further consultations are therefore needed between experts in the fields of drones, image analysis and vector control are needed to develop more detailed guidance on how this technology can be most effectively exploited in malaria control.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.