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...
| Main Authors: | , , , , , , , , , , , , , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Elsevier
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/137461 |
| _version_ | 1855537403700183040 |
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| author | Yin Li 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 Herrero Acosta, Mario Stacey, Deborah A. Huntington, Benjamin Bruce, Mieghan Knight-Jones, Theodore J.D. Rushton, Jonathan |
| author_browse | Bruce, Mieghan Chaters, Gemma Gilbert, William Herrero Acosta, Mario Huntington, Benjamin Jemberu, Wudu T. Kappes, Alexander James Knight-Jones, Theodore J.D. Kwok, Stephen Larkins, Andrew Mayberry Dianne McIntyre, K. Marie Patterson, Grace T. Rasmussen, Philip Raymond, Kassy Rushton, Jonathan Schrobback, Peggy Stacey, Deborah A. Yin Li |
| author_facet | Yin Li 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 Herrero Acosta, Mario Stacey, Deborah A. Huntington, Benjamin Bruce, Mieghan Knight-Jones, Theodore J.D. Rushton, Jonathan |
| author_sort | Yin Li |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| 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. |
| format | Journal Article |
| id | CGSpace137461 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1374612025-10-26T12:51:12Z Rationalising development of classification systems describing livestock production systems for disease burden analysis within the Global Burden of Animal Diseases programme Yin Li 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 Herrero Acosta, Mario Stacey, Deborah A. Huntington, Benjamin Bruce, Mieghan Knight-Jones, Theodore J.D. Rushton, Jonathan animal diseases animal health livestock 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. 2024-03 2024-01-10T09:10:39Z 2024-01-10T09:10:39Z Journal Article https://hdl.handle.net/10568/137461 en Open Access Elsevier Li, Y., McIntyre, K.M., Rasmussen, P., Gilbert, W., Chaters, G., Raymond, K., Jemberu, W.T., Larkins, A., Patterson, G.T., Kwok, S., Kappes, A.J., Mayberry D., Schrobback, P., Acosta, M.H., Stacey, D.A., Huntington, B., Bruce, M., Knight-Jones, T. and Rushton, J. 2024. Rationalising development of classification systems describing livestock production systems for disease burden analysis within the Global Burden of Animal Diseases programme. <i>Research in Veterinary Science</i> 168: 105102. |
| spellingShingle | animal diseases animal health livestock Yin Li 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 Herrero Acosta, Mario Stacey, Deborah A. Huntington, Benjamin Bruce, Mieghan Knight-Jones, Theodore J.D. Rushton, Jonathan Rationalising development of classification systems describing livestock production systems for disease burden analysis within the Global Burden of Animal Diseases programme |
| title | Rationalising development of classification systems describing livestock production systems for disease burden analysis within the Global Burden of Animal Diseases programme |
| title_full | Rationalising development of classification systems describing livestock production systems for disease burden analysis within the Global Burden of Animal Diseases programme |
| title_fullStr | Rationalising development of classification systems describing livestock production systems for disease burden analysis within the Global Burden of Animal Diseases programme |
| title_full_unstemmed | Rationalising development of classification systems describing livestock production systems for disease burden analysis within the Global Burden of Animal Diseases programme |
| title_short | Rationalising development of classification systems describing livestock production systems for disease burden analysis within the Global Burden of Animal Diseases programme |
| title_sort | rationalising development of classification systems describing livestock production systems for disease burden analysis within the global burden of animal diseases programme |
| topic | animal diseases animal health livestock |
| url | https://hdl.handle.net/10568/137461 |
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