TY - JOUR

T1 - Rationalising development of classification systems describing livestock production systems for disease burden analysis within the Global Burden of Animal Diseases programme

AU - Li, Yin

AU - McIntyre, K. Marie

AU - Rasmussen, Philip

AU - Gilbert, William

AU - Chaters, Gemma

AU - Raymond, Kassy

AU - Jemberu, Wudu T.

AU - Larkins, Andrew

AU - Patterson, Grace T.

AU - Kwok, Stephen

AU - Kappes, Alexander James

AU - Mayberry, Dianne

AU - Schrobback, Peggy

AU - Acosta, Mario Herrero

AU - Stacey, Deborah A.

AU - Huntington, Benjamin

AU - Bruce, Mieghan

AU - Knight-Jones, Theodore

AU - Rushton, Jonathan

N1 - Funding Information: This research is on behalf of the Global Burden of Animal Diseases (GBADs) programme, which is led by the University of Liverpool and the World Organization for Animal Health (WOAH) ( https://animalhealthmetrics.org/ ). The research to develop the GBADs methodology is supported through the Grant Agreement Investment ID INV-005366 with the Bill & Melinda Gates Foundation and the UK Foreign, Commonwealth and Development Office (FCDO) . Funding Information: This research is on behalf of the Global Burden of Animal Diseases (GBADs) programme, which is led by the University of Liverpool and the World Organization for Animal Health (WOAH) (https://animalhealthmetrics.org/). The research to develop the GBADs methodology is supported through the Grant Agreement Investment ID INV-005366 with the Bill & Melinda Gates Foundation and the UK Foreign, Commonwealth and Development Office (FCDO). A full list of the members of the GBADs themes can be accessed here: www.animalhealthmetrics.org/acknowledgements. We appreciate help from Edna Massay Kallon, Morgan Jeannin, Lina Awada, Laure Weber, Paolo Tizzani and Roberta Morales from WOAH for sharing their knowledge to the study. Publisher Copyright: © 2023

PY - 2024/3

Y1 - 2024/3

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85182366142&partnerID=8YFLogxK

U2 - 10.1016/j.rvsc.2023.105102

DO - 10.1016/j.rvsc.2023.105102

M3 - Journal article

C2 - 38215653

AN - SCOPUS:85182366142

VL - 168

JO - Research in Veterinary Science

JF - Research in Veterinary Science

SN - 0034-5288

M1 - 105102

ER -