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Background In mid-2015, the United States’ Pandemic Prediction and Forecasting Science and Technical Working Group of the National Science and Technology Council, Food and Agriculture Organization Emergency Prevention Systems, and Kenya Meteorological Department issued an alert predicting a high ...


Oyas, H.Holmstrom, L.Kemunto, N.P.Muturi, M.Mwatondo, A.Osoro, E.Bitek, A.Bett, Bernard K.Githinji, J.W.K.Thumbi, S.M.Widdowson, M.-A.Munyua, P.M.Njenga, M.K.[Enhanced surveillance for Rift Valley fever in livestock during El Niño rains and threat of RVF outbreak, Kenya, 2015-2016]Enhanced surveillance for Rift Valley fever in livestock during El Niño rains and threat of RVF outbreak, Kenya, 2015-2016

A large Rift Valley fever (RVF) outbreak occurred in Kenya from December 2006 to March 2007. We conducted a study to define risk factors associated with infection and severe disease. A total of 861 individuals from 424 households were enrolled. Two hundred and two participants (23%) had serologic...


Anyangu, A.S.Gould, L.H.Sharif, S.K.Nguku, P.M.Omolo, J.O.Mutonga, D.Rao, C.Y.Lederman, E.R.Schnabel, D.Paweska, J.T.Katz, M.Hightower, A.Njenga, M.K.Feikin, D.R.Breiman, R.F.[Risk factors for severe Rift Valley Fever infection in Kenya, 2007]Risk factors for severe Rift Valley Fever infection in Kenya, 2007

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 invol...


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

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