Int. J. One Health Vol.10 Article-12

Research Article

International Journal of One Health, 10(1): 91-99

https://doi.org/10.14202/IJOH.2024.91-99

A simple, collaborative prioritization process for wildlife-associated zoonotic diseases in northern Tanzania

Daniel Pius Mdetele1, Q. Kagembe1, J. Thomson1, E. Komba2, M. Seth3, A. Chengula4, E. Lipende5, J. Compton6, and K. M. Beckmann7
1. TRAFFIC International East Africa, P.O. Box 14129 Arusha, United Republic of Tanzania.
2. Directorate of Research, Training and Extension, Tanzania Livestock Research Institute, Dodoma, Tanzania.
3. Directorate of Research Coordination and Promotion, National Institute for Medical Research, Dares Salaam, Tanzania.
4. Department of Microbiology, Parasitology and Biotechnology, Sokoine University of Agriculture, Morogoro, Tanzania.
5. Department of Veterinary Science and Wildlife Laboratory, Tanzania Wildlife Research Institute, Arusha, Tanzania.
6. TRAFFIC Global Office, Pembroke Street, Cambridge, CB2 3QA, UK.
7. Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Midlothian, EH25 9RG, UK.

Background and Aim: Zoonotic diseases are naturally transmissible infections between animals and humans. To address these cross-sectoral health issues holistic, transdisciplinary health approaches are required. The legalization of the game meat trade in Tanzania in 2020 has created a new value chain from wild habitats to registered game meat selling facilities in human settlements, thus creating new human–animal interfaces associated with potential risks of zoonotic disease transmission among wildlife, livestock, and human populations. This study aimed to apply a simple, collaborative prioritization process to identify important zoonotic pathogens associated with wild animal taxa harvested and traded for game meat consumption in northern Tanzania.

Materials and Methods: A prioritization process was conducted to identify and rank zoonotic diseases associated with wildlife in the Arusha, Kilimanjaro, and Manyara regions of northern Tanzania to help determine the zoonotic disease risks associated with the game meat value chain. Two districts from each region were selected for this study. The prioritization process was conducted through an expert workshop that involved 41 participants, including a District Veterinary Officer, Public Health Officer, and District Game Officer from each district, as well as national One Health focal persons, zonal Veterinary and Laboratory Officers, scientific researchers, and a representative from the national Game Meat Selling Advisory Committee.

Results: Experts identified 11 common zoonotic diseases reported in these regions, of which anthrax, rabies, brucellosis, Rift Valley fever, and bovine tuberculosis were considered the most important. This finding is broadly consistent with the national priority list for zoonotic diseases.

Conclusion: This approach was time-efficient and cost-effective. In Tanzania, multi-sectoral planning, communication, and cooperation among human health, domestic animal health, wildlife health, and environmental protection have been strengthened. In the future, we recommend regular exercises using such an approach to update the information on important diseases and promote information sharing for epidemic and pandemic preparedness associated with the wild animal trade. Keywords: epidemic and pandemic, expert opinion, game meat, one health, wildlife, zoonoses.

Keywords: epidemic and pandemic, expert opinion, game meat, one health, wildlife, zoonoses.

How to cite this article: Mdetele DP, Kagembe Q, Thomson J, Komba E,

Received: 12-11-2023  Accepted: 13-02-2024    Published online: 07-04-2024

Corresponding author: Daniel Pius Mdetele   E-mail: daniel.mdetele@sacids.org

DOI: 10.14202/IJOH.2024.91-99

Copyright: This article is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.