Early prediction of declining health associated with helminth infection in small ruminants using accelerometers and machine learning.

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Bibliographic Details
Title: Early prediction of declining health associated with helminth infection in small ruminants using accelerometers and machine learning.
Authors: Montout AX; Bristol Veterinary School, University of Bristol, Bristol, UK; Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK., Bhamber RS; Bristol Veterinary School, University of Bristol, Bristol, UK; Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK., Babayani ND; Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Pretoria, South Africa., Morgan ER; School of Biological Sciences, Queen's University Belfast, Belfast, UK., Ioannou CC; School of Biological Sciences, University of Bristol, Bristol, UK., Terrill TH; Department of Agricultural Sciences, Fort Valley State University, Fort Valley, GA, USA., van Wyk JA; Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Pretoria, South Africa., Burghardt T; Department of Computer Science, University of Bristol, Bristol, UK., Dowsey AW; Bristol Veterinary School, University of Bristol, Bristol, UK; Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK. Electronic address: andrew.dowsey@bristol.ac.uk.
Source: International journal for parasitology [Int J Parasitol] 2026 Apr 29, pp. 104867. Date of Electronic Publication: 2026 Apr 29.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Science Country of Publication: England NLM ID: 0314024 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0135 (Electronic) Linking ISSN: 00207519 NLM ISO Abbreviation: Int J Parasitol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-0135
DOI:10.1016/j.ijpara.2026.104867