Last Updated: 19/12/2024

International collaborative network for the Integration, Standardization and Assessment of the use of drones in malaria vector control strategies

Objectives

This proposal aims to develop a network focused on the integration of the use of low-cost drones to collect high-resolution imagery to support operational vector control to fight malaria.

Principal Investigators / Focal Persons

Dionicia Gamboa

Rationale and Abstract

Malaria control programmes rely on interventions targeting mosquito-breeding sites to reduce mosquito populations and malaria transmission. These approaches require precisely locating the water bodies and potential breeding sites. Low-cost drones represent a new potential source of data for mapping land use and identifying breeding sites. However, the use of drones for public health is still in its infancy and needs guidance on technical requirements and image analysis methods as well as the feasibility and acceptability of employing these methods in communities. To this effect, this study proposes an International collaborative network for the Integration, Standardization and Assessment of the use of drones in malaria vector control strategies. This network will assemble researchers from Southeast Asia, sub-Saharan Africa and South America employing drones for malaria control and risk mapping. This network will elaborate guidelines for integrating drone technology into malaria control, which will help in reducing barriers to entry for new users, by helping through the initial the technical requirements and usability of the data and thus, enabling a quick progress to the field biology. Using the Peruvian Amazon as a case study, aerial multispectral and thermal imagery will be collected in this region. Simultaneously, the project will develop and apply a framework for assessing community perceptions of drone work and technical and institutional limitations for incorporating drones into malaria control programmes.

Date

Oct 2019 — Oct 2020

Total Project Funding

$31,668

Funding Details
Academy of Medical Sciences (AMS), United Kingdom

Grant ID: GCRFNGR41140
GBP 24,820
Country / Project Site(s)

Peru

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