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dc.contributor.authorLyimo, Beatus
dc.contributor.authorHugho, Ephrasia
dc.contributor.authorMathew, Coletha
dc.contributor.authorMayenga, Charles
dc.contributor.authorLyimo, Samson
dc.contributor.authorMunuo, Lidia
dc.contributor.authorByukusenge, Maurice
dc.contributor.authorWithall, Jodie
dc.contributor.authorMmbaga, Blandina
dc.contributor.authorBartlow, Andrew
dc.contributor.authorFair, Jeanne
dc.contributor.authorShirima, Gabriel
dc.contributor.authorCattadori, Isabella
dc.contributor.authorBuza, Joram
dc.contributor.authorKatani, Robab
dc.date.accessioned2025-01-20T08:39:34Z
dc.date.available2025-01-20T08:39:34Z
dc.date.issued2024-11-01
dc.identifier.urihttps://doi.org/10.3389/fpubh.2024.1478494
dc.identifier.urihttps://dspace.nm-aist.ac.tz/handle/20.500.12479/2864
dc.descriptionThis research article was published by Infectious Diseases: Epidemiology and Prevention Volume 12 - 2024en_US
dc.description.abstractBackground: Brucellosis remains a significant health and economic challenge for livestock and humans globally. Despite its public health implications, the factors driving the endemic persistence of Brucella at the human-livestock interface in Tanzania remain poorly elucidated. This study aimed to identify the seroprevalence of Brucella infection in livestock and humans within a ranching system and determine associated risk factors for disease endemicity. Methods: A cross-sectional sero-epidemiological study was conducted in 2023 in Tanzania’s Karagwe District, involving 725 livestock (cattle, goats, sheep) from 10 herds and 112 humans from associated camps. Seroprevalence was assessed using competitive ELISA while epidemiological data were collected via questionnaires. Generalized Linear Models and Contrast Analysis were used to identify risk factors for infection. Results: Overall seroprevalence was 34% in livestock and 41% in humans. Goats exhibited the highest prevalence (69.2%), while cattle had the lowest (22.6%). Mixed-species herds (Odds Ratio, OR = 2.96, CI [1.90–4.60]) and small ruminants-only herds (OR = 6.54, CI [3.65–11.72]) showed a significantly higher risk of seropositivity compared to cattle-only herds. Older cattle (OR = 5.23, CI [2.70–10.10]) and lactating females (OR = 2.87, CI [1.78–4.63]) represented significant risks for brucellosis in livestock. In humans, close contact with animals (OR = 7.20, CI [1.97–36.31]) and handling animals during parturition or aborted fetuses (OR = 2.37, CI [1.01–5.58]) were significant risk factors. Notably, no spatial association was found in seroprevalence between herds and nearby human communities. Conclusion: The lack of spatial correlation between livestock and human seroprevalence suggests complex transmission dynamics, potentially involving endemic circulation in livestock and human infections from multiple sources of exposure to livestock. This study highlights the need for comprehensive zoonotic risk education and targeted intervention strategies. Further research is crucial to elucidate transmission pathways and improve Brucella infection control. This includes developing robust methods for identifying infective species and implementing effective strategies to mitigate Brucella infection in endemic regions.en_US
dc.language.isoenen_US
dc.publisherFrontiersen_US
dc.subjectbrucellosisen_US
dc.subjectTanzaniaen_US
dc.subjectzoonoticen_US
dc.subjectlivestocken_US
dc.subjectpublic healthen_US
dc.subjectlow-middle-income countriesen_US
dc.titleSeroprevalence and risk factors for brucellosis amongst livestock and humans in a multi-herd ranch system in Kagera, Tanzaniaen_US
dc.typeArticleen_US


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