Strengthening health decision-making at the territorial level: operational support for spatial multi-criteria evaluation
DOI :
https://doi.org/10.19182/agritrop/00022Mots-clés
Animal disease, zoonosis, avian influenza, Rift Valley fever, public health, high risk area, transmission, prevention, risk-based surveillance, One Health, spatial epidemiology, modellingRésumé
Version française de l'article
Animal diseases and zoonoses, infectious diseases that can be transmitted between animals and humans, are a global socio-economic and public health problem. Ensuring the surveillance and control of these diseases implies identifying high risk areas. Maps of these areas can be produced using spatial multi-criteria evaluation, a recent method that is rigorous and quick to implement. Animal health and veterinary public health policymakers are still relatively unfamiliar with this method, but it is suited to regions with little access to reliable epidemiological data, such as low-income countries in the South or disease-free areas. The maps are built with local experts in the regions concerned. They present risk indices combining geographical and environmental data, expert opinions and information from existing studies and surveys. These maps can then be used to better target disease surveillance and control.
Références
Authors' publications
Paul M. C., Goutard F. L., Roulleau F., Holl D., Thanapongtharm W., Roger R. L., Tran A., 2016. Quantitative assessment of a spatial multicriteria model for highly pathogenic avian influenza H5N1 in Thailand, and application in Cambodia. Nature Scientific Reports 6: 31096. https://doi.org/10.1038/srep31096
Tran A., Trevennec C., Lutwama J., Sserugga J., Gély M., Pittiglio C., Pinto J., Chevalier V., 2016. Development and Assessment of a Geographic Knowledge-Based Model for Mapping Suitable Areas for Rift Valley Fever Transmission in Eastern Africa. PLoS Neglected Tropical Diseases 10 (9): e0004999. https://doi.org/10.1371/journal.pntd.0004999
Tran A., Ippoliti C., Balenghien T., Conte A., Gely M., Calistri P., Goffredo M., Baldet T., Chevalier V., 2013. A geographical information system-based multicriteria evaluation to map areas at risk for rift valley fever vector-borne transmission in Italy. Transboundary and Emerging Diseases 60 (suppl. 2): 14-23. https://doi.org/10.1111/tbed.12156
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