Driving preparedness and anticipatory actions through innovation: A web-based Rift Valley fever Early Warning Decision Support Tool



Voir les résultats en:
https://www.fao.org/documents/card/en/c/cb5875en
Licence de la ressource: 
Creative Commons Attribution-Pas d'utilisation commerciale-Partage des conditions initiales à l'identique (CC BY-NC-SA)
Type: 
brochure
Auteur: 
Food and Agriculture Organization of the United Nations (FAO)
Description: 

The Food and Agriculture Organization of the United Nations (FAO) has developed a web-based Rift Valley fever (RVF) Early Warning Decision Support Tool (RVF DST), which integrates near real-time RVF risk maps with geospatial data, historical and current RVF disease events from EMPRES Global Animal Disease Information System (EMPRES-i) and expert knowledge on RVF eco-epidemiology. The tool is used to build capacity for early warning and forecasting at country level, and demonstrates how near real-time modelling, risk forecasting and digital innovation can enhance preparedness and anticipatory actions. This brochure outlines the key data brought together by the RVF DST and describes early implementation experiences in East Africa, as well as possible future developments of the scheme.

Αnnée de publication: 
2021
Μots-clés: 
animal health
early warning systems
innovation systems
risk management
Rift Valley fever