Evidence map›Paper›PMID 38788837›Full record

ArticleJournal of dairy science2024

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

Philip Rasmussen, Herman W Barkema, Prince P Osei, James Taylor, Alexandra P Shaw, Beate Conrady, Gemma Chaters, Violeta Muñoz, David C Hall, Ofosuhene O Apenteng and 2 more

Abstract read
In one paragraph

Article in Journal of dairy science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

51 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Microorganisms · 2026
    Review
  9. Review
  10. Article
  11. Article
  12. Effects of dietaryJDS communications · 2026
    Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Philip RasmussenSection of Animal Welfare and Disease Control, Department Veterinary and Animal Sciences, University of Copenhagen, Copenhagen DK-1870, Denmark; Section of Epidemiology, Vetsuisse Faculty, University of Zurich, Zurich CH 0857, Switzerland; Global Burden of Animal Diseases (GBADs), Liverpool L69 3BX, United Kingdom. Electronic address: phr@sund.ku.dk.
Herman W BarkemaFaculty of Veterinary Medicine, University of Calgary, Calgary, AB T2N 4Z6, Canada.
Prince P OseiSchool of Mathematics and Statistics, Carleton University, Ottawa, ON K1S 5B6, Canada.
James TaylorAgri-Food and Biosciences Institute (AFBI), Belfast BT9 5PX, United Kingdom.
Alexandra P ShawDepartment of Livestock and One Health, Institute of Infection, Veterinary & Ecological Sciences, University of Liverpool, Liverpool L69 3BX, United Kingdom; Infection Medicine, Biomedical Sciences, Edinburgh Medical School, University of Edinburgh, Edinburgh EH16 4SB, United Kingdom.
Beate ConradySection of Animal Welfare and Disease Control, Department Veterinary and Animal Sciences, University of Copenhagen, Copenhagen DK-1870, Denmark.
Gemma ChatersGlobal Burden of Animal Diseases (GBADs), Liverpool L69 3BX, United Kingdom; Department of Livestock and One Health, Institute of Infection, Veterinary & Ecological Sciences, University of Liverpool, Liverpool L69 3BX, United Kingdom.
Violeta MuñozSection of Epidemiology, Vetsuisse Faculty, University of Zurich, Zurich CH 0857, Switzerland; Global Burden of Animal Diseases (GBADs), Liverpool L69 3BX, United Kingdom.
David C HallFaculty of Veterinary Medicine, University of Calgary, Calgary, AB T2N 4Z6, Canada.
Ofosuhene O ApentengSection of Animal Welfare and Disease Control, Department Veterinary and Animal Sciences, University of Copenhagen, Copenhagen DK-1870, Denmark.
Jonathan RushtonGlobal Burden of Animal Diseases (GBADs), Liverpool L69 3BX, United Kingdom; Department of Livestock and One Health, Institute of Infection, Veterinary & Ecological Sciences, University of Liverpool, Liverpool L69 3BX, United Kingdom.
Paul R TorgersonSection of Epidemiology, Vetsuisse Faculty, University of Zurich, Zurich CH 0857, Switzerland; Global Burden of Animal Diseases (GBADs), Liverpool L69 3BX, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 estimates for lactational incidence or prevalence or both, 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 US$65 billion (B). Subclinical ketosis, clinical mastitis, and subclinical mastitis were the costliest diseases modeled, resulting in mean annual global losses of approximately US$18B, US$13B, and US$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 US$0.2B, US$0.6B, US$0.6B, US$6B, US$5B, US$0.6B, US$4B, US$4B, and US$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 (US$12B), the United States (US$8B), and China (US$5B), depending on the measure of losses used (losses as a percentage of gross domestic product, losses per capita, losses as a percentage of gross milk revenue), the relative economic burden of these dairy cattle diseases across countries varied markedly.

Indexed as

Cattle DiseasesDairyingMastitis, BovineAnimalsCattleComorbidityFemaleKetosisLactationMilkPregnancydairydiseaseeconomicimpact

Identifiers

PMID38788837
PMCPMC11382338

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.