Parallel multi-criteria decision analysis for sub-national prioritization of zoonoses and animal diseases in Africa: The case of Cameroon.

Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Original Publication: San Francisco, CA : Public Library of Science

Zoonoses*/epidemiology ; Zoonoses*/prevention & control ; Zoonoses*/transmission ; Decision Support Techniques*; Cameroon/epidemiology ; Animals ; Humans ; Animal Diseases/epidemiology ; Animal Diseases/prevention & control ; Principal Component Analysis ; Cluster Analysis ; Health Priorities ; Public Health

The use of multi-criteria decision analysis (MCDA) for disease prioritization at the sub-national level in sub-Sahara Africa (SSA) is rare. In this research, we contextualized MCDA for parallel prioritization of endemic zoonoses and animal diseases in The Adamawa and North regions of Cameroon. MCDA was associated to categorical principal component analysis (CATPCA), and two-step cluster analysis. Six and seven domains made of 17 and 19 criteria (out of 70) respectively were selected by CATPCA for the prioritization of zoonoses and animal diseases, respectively. The most influencing domains were "public health" for zoonoses and "control and prevention" for animal diseases. Twenty-seven zoonoses and 40 animal diseases were ranked and grouped in three clusters. Sensitivity analysis resulted in high correlation between complete models and reduced models showing the robustness of the simplification processes. The tool used in this study can be applied to prioritize endemic zoonoses and transboundary animal diseases in SSA at the sub-national level and upscaled at the national and regional levels. The relevance of MCDA is high because of its contextualization process and participatory nature enabling better operationalization of disease prioritization outcomes in the context of African countries or other low and middle-income countries.
Competing Interests: No.
(Copyright: © 2024 Mpouam et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Nature. 2008 Feb 21;451(7181):990-3. (PMID: 18288193)
Sci Rep. 2017 Mar 07;7:43932. (PMID: 28266589)
Emerg Infect Dis. 2017 Dec;23(13):. (PMID: 29155664)
PLoS One. 2017 Dec 27;12(12):e0190049. (PMID: 29281726)
Rev Sci Tech. 2009 Dec;28(3):897-907. (PMID: 20462148)
Infect Dis Model. 2020;5:282-292. (PMID: 32292868)
Pathogens. 2021 Aug 03;10(8):. (PMID: 34451440)
Transbound Emerg Dis. 2020 Jan;67(1):344-376. (PMID: 31520577)
PLoS One. 2013 Aug 07;8(8):e68338. (PMID: 23950868)
PLoS One. 2010 Nov 15;5(11):e13965. (PMID: 21085625)
PLoS One. 2014 Oct 10;9(10):e109986. (PMID: 25302612)
Prev Vet Med. 2007 Sep 14;81(1-3):194-210. (PMID: 17482697)
J Infect Dev Ctries. 2018 Aug 31;12(8):676-679. (PMID: 31958332)
PLoS Negl Trop Dis. 2014 Nov 13;8(11):e3257. (PMID: 25393303)
Emerg Infect Dis. 2012 Apr;18(4):. (PMID: 22469519)
Pathogens. 2023 Aug 24;12(9):. (PMID: 37764884)
Epidemiol Infect. 2015 Oct;143(14):2911-22. (PMID: 25876939)
Springerplus. 2015 Jun 19;4:281. (PMID: 26101733)
Microbiol Aust. 2020 Mar 17;:MA20013. (PMID: 32226946)
Emerg Infect Dis. 2013 Apr;19(4):666-8. (PMID: 23751099)
Foodborne Pathog Dis. 2009 Nov;6(9):1083-96. (PMID: 19715429)
Psychol Methods. 2007 Sep;12(3):336-58. (PMID: 17784798)
Prev Vet Med. 2014 Jan 1;113(1):118-31. (PMID: 24211106)

Date Created: 20240625 Date Completed: 20240625 Latest Revision: 20240627

20240627

PMC11198839

10.1371/journal.pone.0295742

38917073