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Help us learn more about the spread of Rift Valley Fever through finding animals in aerial images
Learn moreCampaign 1: Finding animals is an initial step to identify broader areas occupied by animals - from this distance, animals can be spotted but may be difficult to count and identify! In the second campaign, we will filter out drone images not containing any animals, and split the remaining areas into smaller tiles so that we can pinpoint the identity and number of animals in the photos.
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About Rift Valley Fever Drones
Rift Valley Fever (RVF) is a mosquito-borne virus that causes major public health and economic burdens in Kenya: a recent outbreak resulted in the deaths of at least nine people and an unknown number of livestock. This has made identifying the environmental factors that influence disease risk a high priority in Kenya and other endemic areas.
We are exploring how we can use new sources of Earth Observation data - here from drone images taken on overhead flights of our study area - to develop risk models with the ultimate goal of informing early warning systems for outbreaks of the virus in Kenya.
We think bringing citizen science into infectious disease research is a really exciting opportunity to expand the limits of what we can study, and learn more about RVF in Kenya. Previous studies have considered very wide spatial scales using satellite data, but this will be the first to use drones to identify mosquito breeding sites and distributions of animal reservoirs. This new source of data has enormous potential for improving existing disease models and could help identify priority areas for interventions that could save lives. However, we have a lot of images to get through - and we need your help!