Association between Rift Valley fever virus seroprevalences in livestock and humans and their respective intra-cluster correlation coefficients, Tana River County, Kenya
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...
| Autores principales: | , , , , , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Cambridge University Press
2019
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/98541 |
| _version_ | 1855517971678494720 |
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| author | Bett, Bernard K. Lindahl, Johanna F. Sang, R. Wainaina, M. Kairu-Wanyoike, S. Bukachi, S. Njeru, I. Karanja, J. Ontiri, E. Njenga, M.K. Wright, D. Warimwe, G.M. Grace, Delia |
| author_browse | Bett, Bernard K. Bukachi, S. Grace, Delia Kairu-Wanyoike, S. Karanja, J. Lindahl, Johanna F. Njenga, M.K. Njeru, I. Ontiri, E. Sang, R. Wainaina, M. Warimwe, G.M. Wright, D. |
| author_facet | Bett, Bernard K. Lindahl, Johanna F. Sang, R. Wainaina, M. Kairu-Wanyoike, S. Bukachi, S. Njeru, I. Karanja, J. Ontiri, E. Njenga, M.K. Wright, D. Warimwe, G.M. Grace, Delia |
| author_sort | Bett, Bernard K. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | 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. |
| format | Journal Article |
| id | CGSpace98541 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | Cambridge University Press |
| publisherStr | Cambridge University Press |
| record_format | dspace |
| spelling | CGSpace985412025-01-27T15:00:52Z Association between Rift Valley fever virus seroprevalences in livestock and humans and their respective intra-cluster correlation coefficients, Tana River County, Kenya Bett, Bernard K. Lindahl, Johanna F. Sang, R. Wainaina, M. Kairu-Wanyoike, S. Bukachi, S. Njeru, I. Karanja, J. Ontiri, E. Njenga, M.K. Wright, D. Warimwe, G.M. Grace, Delia animal diseases livestock rift valley fever virus health zoonoses infectious diseases epidemiology 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. 2019 2018-12-12T07:10:10Z 2018-12-12T07:10:10Z Journal Article https://hdl.handle.net/10568/98541 en Open Access Cambridge University Press Bett, B., Lindahl, J., Sang, R., Wainaina, M., Kairu-Wanyoike, S., Bukachi, S., Njeru, I., Karanja, J., Ontiri, E., Njenga, M.K., Wright, D., Warimwe, G.M. and Grace, D. 2018. Association between Rift Valley fever virus seroprevalences in livestock and humans and their respective intra-cluster correlation coefficients, Tana River County, Kenya. Epidemiology and Infection |
| spellingShingle | animal diseases livestock rift valley fever virus health zoonoses infectious diseases epidemiology Bett, Bernard K. Lindahl, Johanna F. Sang, R. Wainaina, M. Kairu-Wanyoike, S. Bukachi, S. Njeru, I. Karanja, J. Ontiri, E. Njenga, M.K. Wright, D. Warimwe, G.M. Grace, Delia Association between Rift Valley fever virus seroprevalences in livestock and humans and their respective intra-cluster correlation coefficients, Tana River County, Kenya |
| title | Association between Rift Valley fever virus seroprevalences in livestock and humans and their respective intra-cluster correlation coefficients, Tana River County, Kenya |
| title_full | Association between Rift Valley fever virus seroprevalences in livestock and humans and their respective intra-cluster correlation coefficients, Tana River County, Kenya |
| title_fullStr | Association between Rift Valley fever virus seroprevalences in livestock and humans and their respective intra-cluster correlation coefficients, Tana River County, Kenya |
| title_full_unstemmed | Association between Rift Valley fever virus seroprevalences in livestock and humans and their respective intra-cluster correlation coefficients, Tana River County, Kenya |
| title_short | Association between Rift Valley fever virus seroprevalences in livestock and humans and their respective intra-cluster correlation coefficients, Tana River County, Kenya |
| title_sort | association between rift valley fever virus seroprevalences in livestock and humans and their respective intra cluster correlation coefficients tana river county kenya |
| topic | animal diseases livestock rift valley fever virus health zoonoses infectious diseases epidemiology |
| url | https://hdl.handle.net/10568/98541 |
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