Assessing the operational usage of drone imagery for malaria mosquito breeding site mapping in Malawi (Maladrone) (360G-Wellcome-215184_Z_19_Z)
In Malawi, despite significant advances in malaria control, the progress being made using approaches such as the distribution of long-lasting impregnated nets (LLINs) is showing signs of slowing down. Supplementary approaches that target high transmission areas are therefore needed such as modifying or manipulating potential mosquito breeding sites so that the mosquitoes are no longer able to develop. This is referred to as larval source management (LSM). This proposal aims to assess whether drone imagery can feasibly be used by the national malaria control programme (NMCP) in Malawi to target activities such as LSM. Field studies will be conducted within the UNICEF humanitarian drone testing corridor in Kasungu district, Central Malawi to determine if the mosquito breeding sites can be pragmatically identified using drones, and to establish a framework by which the NMCP could adopt this technology. The capabilities of multiple drones and a range of open source and commercial image processing approaches will be compared to establish a balance between habitat identification accuracy and usability. Further data including larval samples, adult mosquito catches and clinical malaria case data will be collected to explore whether breeding site location can be used to identify malaria transmission hotspots within the area.
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Grant Details
Amount Awarded | 97649 |
Applicant Surname | Stanton |
Approval Committee | Science Seeds Advisory Panel |
Award Date | 2018-11-02T00:00:00+00:00 |
Financial Year | 2018/19 |
Grant Programme: Title | Seed Award in Science |
Internal ID | 215184/Z/19/Z |
Lead Applicant | Dr Michelle Stanton |
Partnership Value | 97649 |
Planned Dates: End Date | 2019-12-31T00:00:00+00:00 |
Planned Dates: Start Date | 2019-06-10T00:00:00+00:00 |
Recipient Org: Country | United Kingdom |
Region | North West |