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Rationalising development of classification systems describing livestock production systems for disease burden analysis within the Global Burden of Animal Diseases programme
The heterogeneity that exists across the global spectrum of livestock production means that livestock productivity, efficiency, health expenditure and health outcomes vary across production systems. To ensure that burden of disease estimates are specific to the represented livestock population and p...
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Published in: | Research in veterinary science 2024-03, Vol.168, p.105102, Article 105102 |
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creator | Li, Yin McIntyre, K. Marie Rasmussen, Philip Gilbert, William Chaters, Gemma Raymond, Kassy Jemberu, Wudu T. Larkins, Andrew Patterson, Grace T. Kwok, Stephen Kappes, Alexander James Mayberry, Dianne Schrobback, Peggy Acosta, Mario Herrero Stacey, Deborah A. Huntington, Benjamin Bruce, Mieghan Knight-Jones, Theodore Rushton, Jonathan |
description | The heterogeneity that exists across the global spectrum of livestock production means that livestock productivity, efficiency, health expenditure and health outcomes vary across production systems. To ensure that burden of disease estimates are specific to the represented livestock population and people reliant upon them, livestock populations need to be systematically classified into different types of production system, reflective of the heterogeneity across production systems.
This paper explores the data currently available of livestock production system classifications and animal health through a scoping review as a foundation for the development of a framework that facilitates more specific estimates of livestock disease burdens. A top-down framework to classification is outlined based on a systematic review of existing classification methods and provides a basis for simple grouping of livestock at global scale.
The proposed top-down classification framework, which is dominated by commodity focus of production along with intensity of resource use, may have less relevance at the sub-national level in some jurisdictions and will need to be informed and adapted with information on how countries themselves categorize livestock and their production systems. The findings in this study provide a foundation for analysing animal health burdens across a broad level of production systems. The developed framework will fill a major gap in how livestock production and health are currently approached and analysed.
•The paper explores existing data on livestock production system classifications and animal health through a scoping review.•The paper proposes a top-down classification framework based on a systematic review of existing methods, emphasizing commodity focus and resource intensity for grouping livestock at the global scale. |
doi_str_mv | 10.1016/j.rvsc.2023.105102 |
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This paper explores the data currently available of livestock production system classifications and animal health through a scoping review as a foundation for the development of a framework that facilitates more specific estimates of livestock disease burdens. A top-down framework to classification is outlined based on a systematic review of existing classification methods and provides a basis for simple grouping of livestock at global scale.
The proposed top-down classification framework, which is dominated by commodity focus of production along with intensity of resource use, may have less relevance at the sub-national level in some jurisdictions and will need to be informed and adapted with information on how countries themselves categorize livestock and their production systems. The findings in this study provide a foundation for analysing animal health burdens across a broad level of production systems. The developed framework will fill a major gap in how livestock production and health are currently approached and analysed.
•The paper explores existing data on livestock production system classifications and animal health through a scoping review.•The paper proposes a top-down classification framework based on a systematic review of existing methods, emphasizing commodity focus and resource intensity for grouping livestock at the global scale.</description><identifier>ISSN: 0034-5288</identifier><identifier>ISSN: 1532-2661</identifier><identifier>EISSN: 1532-2661</identifier><identifier>DOI: 10.1016/j.rvsc.2023.105102</identifier><identifier>PMID: 38215653</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><ispartof>Research in veterinary science, 2024-03, Vol.168, p.105102, Article 105102</ispartof><rights>2024 The Authors</rights><rights>Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c351t-7234ed5af13262191f1f364d7590b9441238f32abcbcc8125e0f74e12a83c8a63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38215653$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Yin</creatorcontrib><creatorcontrib>McIntyre, K. Marie</creatorcontrib><creatorcontrib>Rasmussen, Philip</creatorcontrib><creatorcontrib>Gilbert, William</creatorcontrib><creatorcontrib>Chaters, Gemma</creatorcontrib><creatorcontrib>Raymond, Kassy</creatorcontrib><creatorcontrib>Jemberu, Wudu T.</creatorcontrib><creatorcontrib>Larkins, Andrew</creatorcontrib><creatorcontrib>Patterson, Grace T.</creatorcontrib><creatorcontrib>Kwok, Stephen</creatorcontrib><creatorcontrib>Kappes, Alexander James</creatorcontrib><creatorcontrib>Mayberry, Dianne</creatorcontrib><creatorcontrib>Schrobback, Peggy</creatorcontrib><creatorcontrib>Acosta, Mario Herrero</creatorcontrib><creatorcontrib>Stacey, Deborah A.</creatorcontrib><creatorcontrib>Huntington, Benjamin</creatorcontrib><creatorcontrib>Bruce, Mieghan</creatorcontrib><creatorcontrib>Knight-Jones, Theodore</creatorcontrib><creatorcontrib>Rushton, Jonathan</creatorcontrib><title>Rationalising development of classification systems describing livestock production systems for disease burden analysis within the Global Burden of Animal Diseases programme</title><title>Research in veterinary science</title><addtitle>Res Vet Sci</addtitle><description>The heterogeneity that exists across the global spectrum of livestock production means that livestock productivity, efficiency, health expenditure and health outcomes vary across production systems. To ensure that burden of disease estimates are specific to the represented livestock population and people reliant upon them, livestock populations need to be systematically classified into different types of production system, reflective of the heterogeneity across production systems.
This paper explores the data currently available of livestock production system classifications and animal health through a scoping review as a foundation for the development of a framework that facilitates more specific estimates of livestock disease burdens. A top-down framework to classification is outlined based on a systematic review of existing classification methods and provides a basis for simple grouping of livestock at global scale.
The proposed top-down classification framework, which is dominated by commodity focus of production along with intensity of resource use, may have less relevance at the sub-national level in some jurisdictions and will need to be informed and adapted with information on how countries themselves categorize livestock and their production systems. The findings in this study provide a foundation for analysing animal health burdens across a broad level of production systems. The developed framework will fill a major gap in how livestock production and health are currently approached and analysed.
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Marie</au><au>Rasmussen, Philip</au><au>Gilbert, William</au><au>Chaters, Gemma</au><au>Raymond, Kassy</au><au>Jemberu, Wudu T.</au><au>Larkins, Andrew</au><au>Patterson, Grace T.</au><au>Kwok, Stephen</au><au>Kappes, Alexander James</au><au>Mayberry, Dianne</au><au>Schrobback, Peggy</au><au>Acosta, Mario Herrero</au><au>Stacey, Deborah A.</au><au>Huntington, Benjamin</au><au>Bruce, Mieghan</au><au>Knight-Jones, Theodore</au><au>Rushton, Jonathan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Rationalising development of classification systems describing livestock production systems for disease burden analysis within the Global Burden of Animal Diseases programme</atitle><jtitle>Research in veterinary science</jtitle><addtitle>Res Vet Sci</addtitle><date>2024-03</date><risdate>2024</risdate><volume>168</volume><spage>105102</spage><pages>105102-</pages><artnum>105102</artnum><issn>0034-5288</issn><issn>1532-2661</issn><eissn>1532-2661</eissn><abstract>The heterogeneity that exists across the global spectrum of livestock production means that livestock productivity, efficiency, health expenditure and health outcomes vary across production systems. To ensure that burden of disease estimates are specific to the represented livestock population and people reliant upon them, livestock populations need to be systematically classified into different types of production system, reflective of the heterogeneity across production systems.
This paper explores the data currently available of livestock production system classifications and animal health through a scoping review as a foundation for the development of a framework that facilitates more specific estimates of livestock disease burdens. A top-down framework to classification is outlined based on a systematic review of existing classification methods and provides a basis for simple grouping of livestock at global scale.
The proposed top-down classification framework, which is dominated by commodity focus of production along with intensity of resource use, may have less relevance at the sub-national level in some jurisdictions and will need to be informed and adapted with information on how countries themselves categorize livestock and their production systems. The findings in this study provide a foundation for analysing animal health burdens across a broad level of production systems. The developed framework will fill a major gap in how livestock production and health are currently approached and analysed.
•The paper explores existing data on livestock production system classifications and animal health through a scoping review.•The paper proposes a top-down classification framework based on a systematic review of existing methods, emphasizing commodity focus and resource intensity for grouping livestock at the global scale.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>38215653</pmid><doi>10.1016/j.rvsc.2023.105102</doi><oa>free_for_read</oa></addata></record> |
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title | Rationalising development of classification systems describing livestock production systems for disease burden analysis within the Global Burden of Animal Diseases programme |
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