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Lookup NU author(s): Dr Marie McIntyreORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
This scoping review identifies and describes the methods used to prioritize diseases for resource allocation across disease control, surveillance, and research and the methods used generally in decision-making on animal health policy. Three electronic databases (Medline/PubMed, Embase, and CAB Abstracts) were searched for articles from 2000 to 2021. Searches identified 6, 395 articles after de-duplication, with an additional 64 articles added manually. A total of 6, 460 articles were imported to online document review management software (sysrev.com) for screening. Based on inclusion and exclusion criteria, 532 articles passed the first screening, and after a second round of screening, 336 articles were recommended for full review. A total of 40 articles were removed after data extraction. Another 11 articles were added, having been obtained from cross-citations of already identified articles, providing a total of 307 articles to be considered in the scoping review. The results show that the main methods used for disease prioritization were based on economic analysis, multi-criteria evaluation, risk assessment, simple ranking, spatial risk mapping, and simulation modeling. Disease prioritization was performed to aid in decision-making related to various categories: (1) disease control, prevention, or eradication strategies, (2) general organizational strategy, (3) identification of high-risk areas or populations, (4) assessment of risk of disease introduction or occurrence, (5) disease surveillance, and (6) research priority setting. Of the articles included in data extraction, 50.5% had a national focus, 12.3% were local, 11.9% were regional, 6.5% were subnational, and 3.9% were global. In 15.2% of the articles, the geographic focus was not specified. The scoping review revealed the lack of comprehensive, integrated, and mutually compatible approaches to disease prioritization and decision support tools for animal health. We recommend that future studies should focus on creating comprehensive and harmonized frameworks describing
Author(s): Amenu K, McIntyre KM, Moje N, Knight-Jones T, Rushton J, Grace D
Publication type: Article
Publication status: Published
Journal: Frontiers in Veterinary Science
Year: 2023
Volume: 10
Online publication date: 06/10/2023
Acceptance date: 06/09/2023
Date deposited: 06/10/2023
ISSN (electronic): 2297-1769
Publisher: Frontiers Research Foundation
URL: https://doi.org/10.3389/fvets.2023.1231711
DOI: 10.3389/fvets.2023.1231711
Data Access Statement: The original contributions presented in the study are included in the article/Supplementary material. Further inquiries can be directed to the corresponding author.
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