Global losses due to dairy cattle diseases: A comorbidity-adjusted economic analysis.

dairy disease economic impact

Journal

Journal of dairy science
ISSN: 1525-3198
Titre abrégé: J Dairy Sci
Pays: United States
ID NLM: 2985126R

Informations de publication

Date de publication:
22 May 2024
Historique:
received: 28 12 2023
accepted: 01 04 2024
medline: 25 5 2024
pubmed: 25 5 2024
entrez: 24 5 2024
Statut: aheadofprint

Résumé

An economic simulation was carried out over 183 milk-producing countries to estimate the global economic impacts of 12 dairy cattle diseases and health conditions: mastitis (subclinical and clinical), lameness, paratuberculosis (Johne's disease), displaced abomasum, dystocia, metritis, milk fever, ovarian cysts, retained placenta, and ketosis (subclinical and clinical). Estimates of disease impacts on milk yield, fertility, and culling were collected from the literature, standardized, meta-analyzed using a variety of methods ranging from simple averaging to random-effects models, and adjusted for comorbidities to prevent overestimation. These comorbidity-adjusted disease impacts were then combined with a set of country-level lactational incidence and/or prevalence estimates, herd characteristics, and price estimates within a series of Monte Carlo simulations that estimated and valued the economic losses due to these diseases. It was estimated that total annual global losses are USD 65 billion (B). Subclinical ketosis, clinical mastitis, and subclinical mastitis were the costliest diseases modeled, resulting in mean annual global losses of approximately USD 18B, USD 13B, and USD 9B, respectively. Estimated global annual losses due to clinical ketosis, displaced abomasum, dystocia, lameness, metritis, milk fever, ovarian cysts, paratuberculosis, and retained placenta were estimated to be USD 0.2B, 0.6B, 0.6B, 6B, 5B, 0.6B, 4B, 4B, and 3B, respectively. Without adjustment for comorbidities, when statistical associations between diseases were disregarded, mean aggregate global losses would have been overestimated by 45%. Although annual losses were greatest in India (USD 12B), the USA (USD 8B), and China (USD 5B), depending on the measure of losses used (losses as a percent of GDP, losses per capita, losses as a percent of gross milk revenue), the relative economic burden of these dairy cattle diseases across countries varied markedly.

Identifiants

pubmed: 38788837
pii: S0022-0302(24)00821-X
doi: 10.3168/jds.2023-24626
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

The Authors. Published by Elsevier Inc. on behalf of the American Dairy Science Association®. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Auteurs

Philip Rasmussen (P)

Section of Animal Welfare and Disease Control, Department Veterinary and Animal Sciences, University of Copenhagen, Copenhagen, Denmark; Section of Epidemiology, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland; Global Burden of Animal Diseases (GBADs) - https://animalhealthmetrics.org. Electronic address: phr@sund.ku.dk.

Herman W Barkema (HW)

Faculty of Veterinary Medicine, University of Calgary, Calgary, Alberta, Canada.

Prince P Osei (PP)

School of Mathematics and Statistics, Carlton University, Ottawa, Canada.

James Taylor (J)

Agri-food and Biosciences Institute (AFBI), Belfast, UK.

Alexandra P Shaw (AP)

Department of Livestock and One Health, Institute of Infection, Veterinary & Ecological Sciences, University of Liverpool, Liverpool, UK; Infection Medicine, Biomedical Sciences, Edinburgh Medical School, University of Edinburgh, Edinburgh, UK.

Beate Conrady (B)

Section of Animal Welfare and Disease Control, Department Veterinary and Animal Sciences, University of Copenhagen, Copenhagen, Denmark.

Gemma Chaters (G)

Global Burden of Animal Diseases (GBADs) - https://animalhealthmetrics.org; Department of Livestock and One Health, Institute of Infection, Veterinary & Ecological Sciences, University of Liverpool, Liverpool, UK.

Violeta Muñoz (V)

Section of Epidemiology, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland; Global Burden of Animal Diseases (GBADs) - https://animalhealthmetrics.org.

David C Hall (DC)

Faculty of Veterinary Medicine, University of Calgary, Calgary, Alberta, Canada.

Ofosuhene O Apenteng (OO)

Section of Animal Welfare and Disease Control, Department Veterinary and Animal Sciences, University of Copenhagen, Copenhagen, Denmark.

Jonathan Rushton (J)

Global Burden of Animal Diseases (GBADs) - https://animalhealthmetrics.org; Department of Livestock and One Health, Institute of Infection, Veterinary & Ecological Sciences, University of Liverpool, Liverpool, UK.

Paul R Torgerson (PR)

Section of Epidemiology, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland; Global Burden of Animal Diseases (GBADs) - https://animalhealthmetrics.org.

Classifications MeSH