Evidence map›Paper›PMID 38729670›Full record

ArticleThe Lancet. Planetary health2024

Quantifying cost of disease in livestock: a new metric for the Global Burden of Animal Diseases.

William Gilbert, Thomas L Marsh, Gemma Chaters, Wudu T Jemberu, Mieghan Bruce, Wilma Steeneveld, Joao S Afonso, Benjamin Huntington, Jonathan Rushton

Abstract read
In one paragraph

Article in The Lancet. Planetary health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. The burden of disease in Swiss pork production.Frontiers in veterinary science · 2025
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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

9 authors.

William GilbertInstitute of Infection, Veterinary, and Ecological Sciences, University of Liverpool, Liverpool, UK. Electronic address: wgilbert@liverpool.ac.uk.
Thomas L MarshSchool of Economic Sciences and Paul G Allen School for Global Health, Washington State University, Pullman, WA, USA.
Gemma ChatersInstitute of Infection, Veterinary, and Ecological Sciences, University of Liverpool, Liverpool, UK.
Wudu T JemberuInternational Livestock Research Institute, Addis Ababa, Ethiopia; College of Veterinary Medicine and Animal Sciences, University of Gondar, Gondar, Ethiopia.
Mieghan BruceSchool of Veterinary Medicine, Centre for Biosecurity and One Health, Murdoch University, Murdoch, WA, Australia.
Wilma SteeneveldDepartment of Population Health Sciences, Farm Animal Health section, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands.
Joao S AfonsoInstitute of Infection, Veterinary, and Ecological Sciences, University of Liverpool, Liverpool, UK.
Benjamin HuntingtonInstitute of Infection, Veterinary, and Ecological Sciences, University of Liverpool, Liverpool, UK; Pengwern Animal Health, Wallasey Village, UK.
Jonathan RushtonInstitute of Infection, Veterinary, and Ecological Sciences, University of Liverpool, Liverpool, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncreasing awareness of the environmental and public health impacts of expanding and intensifying animal-based food and farming systems creates discord, with the reliance of much of the world's population on animals for livelihoods and essential nutrition. Increasing the efficiency of food production through improved animal health has been identified as a step towards minimising these negative effects without compromising global food security. The Global Burden of Animal Diseases (GBADs) programme aims to provide data and analytical methods to support positive change in animal health across all livestock and aquaculture animal populations.

methodsIn this study, we present a metric that begins the process of disease burden estimation by converting the physical consequences of disease on animal performance to farm-level costs of disease, and calculates a metric termed the Animal Health Loss Envelope (AHLE) via comparison between the status quo and a disease-free ideal. An example calculation of the AHLE metric for meat production from broiler chickens is provided.

findingsThe AHLE presents the direct financial costs of disease at farm-level for all causes by estimating losses and expenditure in a given farming system. The general specification of the model measures productivity change at farm-level and provides an upper bound on productivity change in the absence of disease. On its own, it gives an indication of the scale of total disease cost at farm-level.

interpretationThe AHLE is an essential stepping stone within the GBADs programme because it connects the physical performance of animals in farming systems under different environmental and management conditions and different health states to farm economics. Moving forward, AHLE results will be an important step in calculating the wider monetary consequences of changes in animal health as part of the GBADs programme.

fundingBill & Melinda Gates Foundation, the UK Foreign, Commonwealth and Development Office, EU Horizon 2020 Research and Innovation Programme.

Indexed as

Animal DiseasesAnimal HusbandryLivestockAnimalsChickensCost of IllnessGlobal Burden of DiseaseGlobal Health

Identifiers

PMID38729670
PMCPMC11636736

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.