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dc.contributor.authorMutisya, Wilfred
dc.date.accessioned2025-03-28T12:49:30Z
dc.date.available2025-03-28T12:49:30Z
dc.date.issued2024
dc.identifier.urihttp://erepository.uonbi.ac.ke/handle/11295/167463
dc.description.abstractCoxiella burnetii is the etiological agent for Q fever, which affects people and animals globally. This pathogen is presumed to be endemic in both human beings and domestic animals in many countries Kenya included. It causes serious economic impacts and poses a zoonotic risk to people closely exposed to livestock. In Kenya, scientific information on the epidemiology of C. burnetii at the human-livestock interface in rural pastoral settings is limited. Therefore, I conducted a linked human-livestock survey in Garbatulla to estimate the seroprevalence and potential predictors for C. burnetii exposure in humans and livestock. The study employed a cross-sectional design with multistage random sampling to collect samples from humans and livestock. The main sampling units were the individual people and livestock from the randomly chosen households. In total, 683 humans were sampled from 242 households, and 2,157 livestock (cattle, camels, sheep, and goats) were sampled from 231 herds. These numbers were slightly higher than the calculated adjusted sample sizes of 538 humans and 1843 animals. Serum samples for human subjects were tested for antibodies against C. burnetii using SERION ELISA classic C. burnetii Phase II IgG ELISA kits (Virion/Serion, Germany), following the manufacturer's guidelines. In livestock, sera were screened for antibodies against C. burnetii using ID Screen Q Fever Indirect Multi-species Kit (IDvet™, Montpellier, France) according to the manufacturer's instructions. Optical densities and serum percentage positivity for sera antibodies were generated for both humans and livestock respectively. Data on potential predictors was collected using a structured questionnaire. The association between the independent variables and C. burnetii seropositivity in the study area was calculated using the chi-square test and odds ratios generated...en_US
dc.language.isoenen_US
dc.publisherUniversity of Nairobien_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.titleEstimation of Seroprevalence and Predictors for Coxiella Burnetii Infection in Garbatulla, Isiolo County, Kenyaen_US
dc.typeThesisen_US


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