Attributing Ethiopian animal health losses to high-level causes using expert elicitation

Simple item page
cg.authorship.typesCGIAR and developing country instituteen
cg.authorship.typesCGIAR and advanced research instituteen
cg.contributor.affiliationMurdoch Universityen
cg.contributor.affiliationInternational Livestock Research Instituteen
cg.contributor.affiliationUniversity of Gondaren
cg.contributor.affiliationUniversity of Liverpoolen
cg.contributor.affiliationSciensanoen
cg.contributor.crpLivestock
cg.contributor.donorBill & Melinda Gates Foundationen
cg.contributor.donorForeign, Commonwealth and Development Office, United Kingdomen
cg.coverage.countryEthiopia
cg.coverage.iso3166-alpha2ET
cg.coverage.regionAfrica
cg.coverage.regionEastern Africa
cg.creator.identifierWudu Temesgen Jemberu: 0000-0002-3769-307Xen
cg.creator.identifierTheo Knight-Jones: 0000-0003-4342-6055en
cg.howPublishedFormally Publisheden
cg.identifier.doihttps://doi.org/10.1016/j.prevetmed.2023.106077en
cg.isijournalISI Journalen
cg.issn0167-5877en
cg.journalPreventive Veterinary Medicineen
cg.reviewStatusPeer Reviewen
cg.subject.actionAreaResilient Agrifood Systems
cg.subject.ilriANIMAL DISEASESen
cg.subject.ilriANIMAL HEALTHen
cg.subject.ilriLIVESTOCKen
cg.subject.impactAreaNutrition, health and food security
cg.subject.impactPlatformNutrition, Health and Food Security
cg.subject.sdgSDG 2 - Zero hungeren
cg.volume221en
dc.contributor.authorLarkins, A.en
dc.contributor.authorTemesgen, Wuduen
dc.contributor.authorChaters, G.en
dc.contributor.authorBari, C. dien
dc.contributor.authorKwok, S.en
dc.contributor.authorKnight-Jones, Theodore J.D.en
dc.contributor.authorRushton, J.en
dc.contributor.authorBruce, M.en
dc.date.accessioned2023-11-17T12:12:11Zen
dc.date.available2023-11-17T12:12:11Zen
dc.identifier.urihttps://hdl.handle.net/10568/134545
dc.titleAttributing Ethiopian animal health losses to high-level causes using expert elicitationen
dcterms.abstractThe Global Burden of Animal Diseases programme is currently working to estimate the burden of animal health loss in Ethiopia. As part of this work, structured expert elicitation has been trialled to attribute the proportion of animal health losses due to three independent and exhaustive high-level causes (infectious, non-infectious, and external). Separate in-person workshops were conducted with eight cattle, nine small ruminant, and eight chicken experts. Following the Investigate-Discuss-Estimate-Aggregate protocol for structured expert elicitation, estimates were obtained for the proportion of animal health loss due to high-level causes in different combinations of health loss, species, age-sex class, and production system. Three-point questions were used to inform beta-pert distributions and capture uncertainty in estimates. Individual expert estimates were aggregated by quantile mean to produce average distributions. Random samples from these average distributions estimated that infectious causes inflict the highest proportion of health loss in Ethiopia, with at least 40% of health losses estimated to be due to infectious causes in all categories. This study provides a rapid, simple, and engaging method to attribute the burden of animal health loss at a high-level. Results are informative, however will become increasingly useful once they can be compared with results from more sophisticated, data-driven models.en
dcterms.accessRightsOpen Access
dcterms.audienceAcademicsen
dcterms.audienceScientistsen
dcterms.available2023-11-11en
dcterms.bibliographicCitationLarkins, A., Temesgen, W., Chaters, G., Di Bari, C., Kwok, S., Knight-Jones, T., Rushton, J. and Bruce, M. 2023. Attributing Ethiopian animal health losses to high-level causes using expert elicitation. Preventive Veterinary Medicine 221: 106077.en
dcterms.extent106077en
dcterms.issued2023-12en
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherElsevieren
dcterms.subjectanimal diseasesen
dcterms.subjectanimal healthen
dcterms.subjectlivestocken
dcterms.typeJournal Article

Files

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

ILRI articles in journals
Global Burden of Animal Diseases
ILRI animal and human health program outputs (2017–2024)