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Approaches for disease prioritization and decision-making in animal health, 2000–2021: a structured scoping review
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 Abstr...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10593474/ https://www.ncbi.nlm.nih.gov/pubmed/37876628 http://dx.doi.org/10.3389/fvets.2023.1231711 |
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author | Amenu, Kebede McIntyre, K. Marie Moje, Nebyou Knight-Jones, Theodore Rushton, Jonathan Grace, Delia |
author_facet | Amenu, Kebede McIntyre, K. Marie Moje, Nebyou Knight-Jones, Theodore Rushton, Jonathan Grace, Delia |
author_sort | Amenu, Kebede |
collection | PubMed |
description | 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 sub-national, 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 methods for disease prioritization and decision-making tools in animal health. |
format | Online Article Text |
id | pubmed-10593474 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105934742023-10-24 Approaches for disease prioritization and decision-making in animal health, 2000–2021: a structured scoping review Amenu, Kebede McIntyre, K. Marie Moje, Nebyou Knight-Jones, Theodore Rushton, Jonathan Grace, Delia Front Vet Sci Veterinary Science 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 sub-national, 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 methods for disease prioritization and decision-making tools in animal health. Frontiers Media S.A. 2023-10-06 /pmc/articles/PMC10593474/ /pubmed/37876628 http://dx.doi.org/10.3389/fvets.2023.1231711 Text en Copyright © 2023 Amenu, McIntyre, Moje, Knight-Jones, Rushton and Grace. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Veterinary Science Amenu, Kebede McIntyre, K. Marie Moje, Nebyou Knight-Jones, Theodore Rushton, Jonathan Grace, Delia Approaches for disease prioritization and decision-making in animal health, 2000–2021: a structured scoping review |
title | Approaches for disease prioritization and decision-making in animal health, 2000–2021: a structured scoping review |
title_full | Approaches for disease prioritization and decision-making in animal health, 2000–2021: a structured scoping review |
title_fullStr | Approaches for disease prioritization and decision-making in animal health, 2000–2021: a structured scoping review |
title_full_unstemmed | Approaches for disease prioritization and decision-making in animal health, 2000–2021: a structured scoping review |
title_short | Approaches for disease prioritization and decision-making in animal health, 2000–2021: a structured scoping review |
title_sort | approaches for disease prioritization and decision-making in animal health, 2000–2021: a structured scoping review |
topic | Veterinary Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10593474/ https://www.ncbi.nlm.nih.gov/pubmed/37876628 http://dx.doi.org/10.3389/fvets.2023.1231711 |
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