Agritrop
Accueil

Spatial multicriteria evaluation for mapping the risk of occurrence of Peste des Petits Ruminants in Eastern Africa and the Union of the Comoros

Ruget Anne-Sophie, Tran Annelise, Waret-Szkuta Agnès, Ousseni Moutroifi Youssouf, Charafouddine Onzade, Cardinale Eric, Cetre-Sossah Catherine, Chevalier Véronique. 2019. Spatial multicriteria evaluation for mapping the risk of occurrence of Peste des Petits Ruminants in Eastern Africa and the Union of the Comoros. Frontiers in Veterinary Science, 6:455, 11 p.

Article de revue ; Article de recherche ; Article de revue à facteur d'impact Revue en libre accès total
[img]
Prévisualisation
Version publiée - Anglais
Sous licence Licence Creative Commons.
fvets-06-00455.pdf

Télécharger (1MB) | Prévisualisation

Url - jeu de données - Dataverse Cirad : https://doi.org/10.18167/DVN1/UBWKX3

Quartile : Q1, Sujet : VETERINARY SCIENCES

Résumé : Peste des petits ruminants virus (PPRV), responsible for peste des petits ruminants (PPR), is widely circulating in Africa and Asia. The disease is a huge burden for the economy and development of the affected countries. In Eastern Africa, the disease is considered endemic. Because of the geographic proximity and existing trade between eastern African countries and the Comoros archipelago, the latter is at risk of introduction and spread, and the first PPR outbreaks occurred in the Union of the Comoros in 2012. The objective of this study was to map the areas suitable for PPR occurrence and spread in the Union of the Comoros and four eastern African countries, namely Ethiopia, Uganda, Kenya, and Tanzania. A Geographic Information System (GIS)-based Multicriteria Evaluation (MCE) was developed. Risk factors for PPR occurrence and spread, and their relative importance, were identified using literature review and expert-based knowledge. Corresponding geographic data were collected, standardized, and combined based on a weighted linear combination to obtain PPR suitability maps. The accuracy of the maps was assessed using outbreak data from the EMPRES database and a ROC curve analysis. Our model showed an excellent ability to distinguish between absence and presence of outbreaks in Eastern Africa (AUC = 0.907; 95% CI [0.820–0.994]), and a very good performance in the Union of the Comoros (AUC = 0.889, 95% CI: [0.694–1]). These results highlight the efficiency of the GIS-MCE method, which can be applied at different geographic scales: continental, national and local. The resulting maps provide decision support tools for implementation of disease surveillance and control measures, thus contributing to the PPR eradication goal of OIE and FAO by 2030.

Mots-clés Agrovoc : peste des petits ruminants, surveillance épidémiologique, épidémiologie, cartographie, virus peste petits ruminants, évaluation du risque, système d'information géographique

Mots-clés géographiques Agrovoc : Comores, Afrique orientale

Mots-clés libres : Geographic Information System, Multi criteria assessment, Peste des petits ruminants, Eastern Africa, Union of the Comoros, Risk mapping

Classification Agris : L73 - Maladies des animaux
U30 - Méthodes de recherche

Champ stratégique Cirad : CTS 4 (2019-) - Santé des plantes, des animaux et des écosystèmes

Auteurs et affiliations

  • Ruget Anne-Sophie, Université de Montpellier (FRA)
  • Tran Annelise, CIRAD-ES-UMR TETIS (REU) ORCID: 0000-0001-5463-332X - auteur correspondant
  • Waret-Szkuta Agnès, Université de Toulouse (FRA)
  • Ousseni Moutroifi Youssouf, Ministry of Agriculture (COM)
  • Charafouddine Onzade, Ministry of Agriculture (COM)
  • Cardinale Eric, CIRAD-BIOS-UMR ASTRE (REU) ORCID: 0000-0002-3434-3541
  • Cetre-Sossah Catherine, CIRAD-BIOS-UMR ASTRE (REU)
  • Chevalier Véronique, CIRAD-BIOS-UMR ASTRE (KHM)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/594518/)

Voir la notice (accès réservé à Agritrop) Voir la notice (accès réservé à Agritrop)

[ Page générée et mise en cache le 2024-03-18 ]