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Risk Mapping of Influenza D Virus Occurrence in Ruminants and Swine in Togo Using a Spatial Multicriteria Decision Analysis Approach
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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7077333/ https://www.ncbi.nlm.nih.gov/pubmed/31973026 http://dx.doi.org/10.3390/v12020128 |
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author | Fusade-Boyer, Maxime Pato, Pidemnéwé S. Komlan, Mathias Dogno, Koffi Batawui, Komla Go-Maro, Emilie McKenzie, Pamela Guinat, Claire Secula, Aurélie Paul, Mathilde Webby, Richard J. Tran, Annelise Waret-Szkuta, Agnès Ducatez, Mariette F. |
author_facet | Fusade-Boyer, Maxime Pato, Pidemnéwé S. Komlan, Mathias Dogno, Koffi Batawui, Komla Go-Maro, Emilie McKenzie, Pamela Guinat, Claire Secula, Aurélie Paul, Mathilde Webby, Richard J. Tran, Annelise Waret-Szkuta, Agnès Ducatez, Mariette F. |
author_sort | Fusade-Boyer, Maxime |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7077333 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70773332020-03-20 Risk Mapping of Influenza D Virus Occurrence in Ruminants and Swine in Togo Using a Spatial Multicriteria Decision Analysis Approach Fusade-Boyer, Maxime Pato, Pidemnéwé S. Komlan, Mathias Dogno, Koffi Batawui, Komla Go-Maro, Emilie McKenzie, Pamela Guinat, Claire Secula, Aurélie Paul, Mathilde Webby, Richard J. Tran, Annelise Waret-Szkuta, Agnès Ducatez, Mariette F. Viruses Article 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. MDPI 2020-01-21 /pmc/articles/PMC7077333/ /pubmed/31973026 http://dx.doi.org/10.3390/v12020128 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Fusade-Boyer, Maxime Pato, Pidemnéwé S. Komlan, Mathias Dogno, Koffi Batawui, Komla Go-Maro, Emilie McKenzie, Pamela Guinat, Claire Secula, Aurélie Paul, Mathilde Webby, Richard J. Tran, Annelise Waret-Szkuta, Agnès Ducatez, Mariette F. Risk Mapping of Influenza D Virus Occurrence in Ruminants and Swine in Togo Using a Spatial Multicriteria Decision Analysis Approach |
title | Risk Mapping of Influenza D Virus Occurrence in Ruminants and Swine in Togo Using a Spatial Multicriteria Decision Analysis Approach |
title_full | Risk Mapping of Influenza D Virus Occurrence in Ruminants and Swine in Togo Using a Spatial Multicriteria Decision Analysis Approach |
title_fullStr | Risk Mapping of Influenza D Virus Occurrence in Ruminants and Swine in Togo Using a Spatial Multicriteria Decision Analysis Approach |
title_full_unstemmed | Risk Mapping of Influenza D Virus Occurrence in Ruminants and Swine in Togo Using a Spatial Multicriteria Decision Analysis Approach |
title_short | Risk Mapping of Influenza D Virus Occurrence in Ruminants and Swine in Togo Using a Spatial Multicriteria Decision Analysis Approach |
title_sort | risk mapping of influenza d virus occurrence in ruminants and swine in togo using a spatial multicriteria decision analysis approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7077333/ https://www.ncbi.nlm.nih.gov/pubmed/31973026 http://dx.doi.org/10.3390/v12020128 |
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