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Association between Rift Valley fever virus seroprevalences in livestock and humans and their respective intra-cluster correlation coefficients, Tana River County, Kenya

Bett, B (författare)
Int Livestock Res Inst, Nairobi, Kenya
Lindahl, Johanna (författare)
Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Uppsala universitet,Institutionen för medicinsk biokemi och mikrobiologi,Int Livestock Res Inst, Nairobi, Kenya; Swedish Univ Agr Sci, Uppsala, Sweden,Institutionen för kliniska vetenskaper (KV),Department of Clinical Sciences,International Livestock Research Institute (ILRI),Uppsala University
Sang, R (författare)
Kenya Govt Med Res Ctr, Nairobi, Kenya
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Wainaina, M (författare)
Int Livestock Res Inst, Nairobi, Kenya
Kairu-Wanyoike, S (författare)
Minist Agr Livestock & Fisheries, Dept Vet Serv, Nairobi, Kenya
Bukachi, S (författare)
Univ Nairobi, Inst Anthropol Gender & African Studies, Nairobi, Kenya
Njeru, I (författare)
Kenyatta Natl Hosp, Minist Hlth, Div Dis Surveillance & Response, Nairobi, Kenya
Karanja, J (författare)
Kenyatta Natl Hosp, Minist Hlth, Div Dis Surveillance & Response, Nairobi, Kenya
Ontiri, E (författare)
Int Livestock Res Inst, Nairobi, Kenya
Kariuki Njenga, M (författare)
Washington State Univ, Paui Men Sch Global Anim Hlth, Pullman, WA 99164 USA
Wright, D (författare)
Univ Oxford, Jenner Inst, Oxford, England
Warimwe, G M (författare)
KEMRI Wellcome Trust Res Programme, Kilifi, Kenya; Univ Oxford, Ctr Trop Med & Global Hlth, Oxford, England
Grace, D (författare)
Int Livestock Res Inst, Nairobi, Kenya
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 (creator_code:org_t)
 
2019
2019
Engelska.
Ingår i: Epidemiology and Infection. - 0950-2688 .- 1469-4409. ; 147
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • We implemented a cross-sectional study in Tana River County, Kenya, a Rift Valley fever (RVF)-endemic area, to quantify the strength of association between RVF virus (RVFv) seroprevalences in livestock and humans, and their respective intra-cluster correlation coefficients (ICCs). The study involved 1932 livestock from 152 households and 552 humans from 170 households. Serum samples were collected and screened for anti-RVFv immunoglobulin G (IgG) antibodies using inhibition IgG enzyme-linked immunosorbent assay (ELISA). Data collected were analysed using generalised linear mixed effects models, with herd/household and village being fitted as random variables. The overall RVFv seroprevalences in livestock and humans were 25.41% (95% confidence interval (CI) 23.49-27.42%) and 21.20% (17.86-24.85%), respectively. The presence of at least one seropositive animal in a household was associated with an increased odds of exposure in people of 2.23 (95% CI 1.03-4.84). The ICCs associated with RVF virus seroprevalence in livestock were 0.30 (95% CI 0.19-0.44) and 0.22 (95% CI 0.12-0.38) within and between herds, respectively. These findings suggest that there is a greater variability of RVF virus exposure between than within herds. We discuss ways of using these ICC estimates in observational surveys for RVF in endemic areas and postulate that the design of the sentinel herd surveillance should consider patterns of RVF clustering to enhance its effectiveness as an early warning system for RVF epidemics.

Ämnesord

LANTBRUKSVETENSKAPER  -- Veterinärmedicin -- Patobiologi (hsv//swe)
AGRICULTURAL SCIENCES  -- Veterinary Science -- Pathobiology (hsv//eng)
LANTBRUKSVETENSKAPER  -- Veterinärmedicin -- Klinisk vetenskap (hsv//swe)
AGRICULTURAL SCIENCES  -- Veterinary Science -- Clinical Science (hsv//eng)

Nyckelord

Hierarchical modelling
Rift Valley fever
intra-cluster correlation coefficients
risk factors
seroprevalence

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