Bayesian Estimation of True Prevalence and Associated Risk Factors for <i>Leptospira</i> spp. Among Slaughterhouse Workers and Slaughtered Cattle in the Bahr El Ghazal Region of South Sudan

This study provides the first Bayesian-based estimates of leptospiral exposure in slaughterhouse settings in Western Bahr El Ghazal. The findings underscore the need to improve occupational safety, strengthen surveillance, and apply One Health approaches to reduce zoonotic transmission. Despite limitations, including lack of environmental data, the Bayesian framework proved effective for generating robust prevalence estimates in a resource-limited setting. Expanded geographic coverage and incorporation of environmental assessments are recommended to inform targeted leptospirosis control strategies.

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Publication Details

Journal
Zoonoses and Public Health
Published
2026-02-11
DOI
https://doi.org/10.1111/zph.70039
Primary Topic
Leptospirosis research and findings
Type
article
Field-Weighted Citation Impact
0.00

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article

Bayesian Estimation of True Prevalence and Associated Risk Factors for Leptospira spp. Among Slaughterhouse Workers and Slaughtered Cattle in the Bahr El Ghazal Region of South Sudan

Ambrose Samuel Jubara, Terence Odoch, Joseph Erume, Polychronis Kostoulas et al.
Zoonoses and Public Health
Leptospirosis research and findings
article

Bayesian Estimation of True Prevalence and Associated Risk Factors for Leptospira spp. Among Slaughterhouse Workers and Slaughtered Cattle in the Bahr El Ghazal Region of South Sudan

Ambrose Samuel Jubara, Terence Odoch, Joseph Erume, Polychronis Kostoulas, David Onafruo, Estella Kitale, Esther Sabbath, P Marín, Jörn Klein, Javier Sánchez Romano, Clovice Kankya, Ikwap Kokas
article en

Abstract

This study provides the first Bayesian-based estimates of leptospiral exposure in slaughterhouse settings in Western Bahr El Ghazal. The findings underscore the need to improve occupational safety, strengthen surveillance, and apply One Health approaches to reduce zoonotic transmission. Despite limitations, including lack of environmental data, the Bayesian framework proved effective for generating robust prevalence estimates in a resource-limited setting. Expanded geographic coverage and incorporation of environmental assessments are recommended to inform targeted leptospirosis control strategies.

Zoonoses and Public Health
Zoological Society of London (GB), University of Thessaly (GR), University of South-Eastern Norway (NO), University of Bahr El-Ghazal (SS), Centre for Arctic Gas Hydrate, Environment and Climate (NO), Makerere University (UG), UiT The Arctic University of Norway (NO)
United States Agency for International Development
Openalex Percentile: Top 55%
Leptospirosis research and findings
DOIOpen Access PDFOpenAlex
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Bayesian Estimation of True Prevalence and Associated Risk Factors for <i>Leptospira</i> spp. Among Slaughterhouse Workers and Slaughtered Cattle in the Bahr El Ghazal Region of South Sudan — Ambrose Samuel Jubara, Terence Odoch, et al. · Zoonoses and Public Health (2026) | TGRS Research Map | TGRS