Risk Mapping of Influenza D Virus Occurrence in Ruminants and Swine in Togo Using a Spatial Multicriteria Decision Analysis Approach

Viruses

Annelise Tran¹  Claire Guinat²  MarietteF. Ducatez²  Mathilde Paul²  Agnès Waret-Szkuta²  Maxime Fusade-Boyer²  Aurélie Secula²  Emilie Go-Maro³  PidemnéwéS. Pato³  Koffi Dogno³  Mathias Komlan³  Komla Batawui³  Pamela McKenzie⁴  RichardJ. Webby⁴ 

[1] Cirad, UMR ASTRE, 34398 Montpellier, France;IHAP, UMR1225, Université de Toulouse, INRA, ENVT, 31076 Toulouse, France;Laboratoire Central Vétérinaire de Lomé, 55788 Lomé, Togo;St Jude Children’s Research Hospital, Memphis, TN 38105, USA;

关键词: influenza d virus;    togo;    risk mapping;    spatial mcda;   

DOI  :  10.3390/v12020128

来源: DOAJ

【 摘 要 】

Influenza D virus (IDV) has been identified in several continents, with serological evidence for the virus in Africa. In order to improve the sensitivity and cost−benefit of IDV surveillance in Togo, risk maps were drawn using a spatial multicriteria decision analysis (MCDA) and experts’ opinion to evaluate the relevance of sampling areas used so far. Areas at highest risk of IDV occurrence were the main cattle markets. The maps were evaluated with previous field surveillance data collected in Togo between 2017 and 2019: 1216 sera from cattle, small ruminants, and swine were screened for antibodies to IDV by hemagglutination inhibition (HI) assays. While further samples collections are needed to validate the maps, the risk maps resulting from the spatial MCDA approach generated here highlight several priority areas for IDV circulation assessment.

【 授权许可】

Unknown