Controlling Rift Valley fever in Kenya: An ecohealth approach

Newly available and novel time-series indicators from remote sensing observations are used to understand the spread of Rift Valley Fever in Kenya and improve the management of the disease.

Map below shows Rift Valley fever risk zones ( red pixels- High risk, Yellow- Medium risk, Green-low risk). Livestock migration routes and animal grazing and resting sites were computed from GPS collaring data (these are the sea green and blue lines on the map) and overlayed on the risk zone map.

Funding:

  • Swedish International Development Cooperation Agency (Sida), Sweden

Collaborators:

  • University of Umea, Umeå university (Sweden)