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We applied social network analysis to pig trader networks on the Kenya-Uganda border. Social network analysis is a recently developed tool, which is useful for understanding value chains and improving disease control policies. We interviewed a sample of 33 traders about their experiences with tra...


Lichoti, J.K.Davies, J.Maru, Y.Kitala, P.M.Githigia, S.M.Okoth, Edward A.Bukachi, SalomeOkuthe, S.Bishop, Richard P.[Pig traders’ networks on the Kenya-Uganda border highlight potential for mitigation of African swine fever virus transmission and improved ASF disease risk management]Pig traders’ networks on the Kenya-Uganda border highlight potential for mitigation of African swine fever virus transmission and improved ASF disease risk management

Pig movements play a significant role in the spread of economically important infectious diseases such as the African swine fever. Characterization of movement networks between pig farms and through other types of farm and household enterprises that are involved in pig value chains can provide us...


Lichoti, J.K.Davies, J.Kitala, P.M.Githigia, S.M.Okoth, Edward A.Maru, Y.Bukachi, S.A.Bishop, Richard P.[Social network analysis provides insights into African swine fever epidemiology]Social network analysis provides insights into African swine fever epidemiology

A cross-sectional study of serum antibody responses of cattle to tick-borne disease (TBD) parasites (Theileria parva, Theileria mutans, Anaplasma marginale and Babesia bigemina) was conducted on traditional smallholder mixed farms in Mbeere District in Kenya. The objective was to estimate the inf...


Gachohi, John M.Ngumi, P.N.Kitala, P.M.Skilton, Robert A.[Estimating seroprevalence and variation to four tick-borne infections and determination of associated risk factors in cattle under traditional mixed farming system in Mbeere District, Kenya]Estimating seroprevalence and variation to four tick-borne infections and determination of associated risk factors in cattle under traditional mixed farming system in Mbeere District, Kenya

The objective of this study was to investigate the relationship between seroprevalence to Theileria parva infection in cattle and potential environmental and farm-level effects in 80 farms under traditional crop–livestock system in Mbeere District, Kenya. A standardized questionnaire was used to ...


Gachohi, John M.Kitala, P.M.Ngumi, P.N.Skilton, Robert A.[Environment and farm factors associated with exposure to Theileria parva infection in cattle under traditional mixed farming system in Mbeere District, Kenya]Environment and farm factors associated with exposure to Theileria parva infection in cattle under traditional mixed farming system in Mbeere District, Kenya

In this article, we review the epidemiology of East Coast fever (ECF), a tick borne infection of cattle, in Kenya. The major factors associated with epidemiology of ECF include the agro-ecological zone (AEZ), livestock production system (LPS) and both animal breed and age. These factors appear to...


Gachohi, John M.Skilton, Robert A.Hansen, F.Ngumi, P.N.Kitala, P.M.[Epidemiology of East Coast fever (Theileria parva infection) in Kenya: Past, present and the future]Epidemiology of East Coast fever (Theileria parva infection) in Kenya: Past, present and the future

Bovine cysticercosis is a zoonosis that is mainly of socioeconomic and public health importance. A survey of this disease was carried out in Northern Turkana District, Kenya to estimate the prevalence through both serology and meat inspection, to determine the prevalence of the adult tapeworm in ...


Asaava, L.L.Kitala, P.M.Gathura, P.B.Nanyingi, M.O.Muchemi, G.Schelling, E.[A survey of bovine cysticercosis/human taeniosis in Northern Turkana District, Kenya]A survey of bovine cysticercosis/human taeniosis in Northern Turkana District, Kenya

Demographic and epidemiological field data were used in a determinstic model to describe dog rabies transmission in Machakos District, Kenya and to predict the impact of potential vaccination strategies for its control. The basic reproduction number (R0) was estimated to be 2.44 (1.52-3.36, 95% c...


Kitala, P.M.McDermott, John J.Coleman, P.G.Dye, C.[Comparison of vaccination strategies for the control of dog rabies in Machakos District, Kenya]Comparison of vaccination strategies for the control of dog rabies in Machakos District, Kenya

A study using participatory epidemiology (PE) methodologies was conducted in West Pokot and Baringo districts, Northern Rift Valley, Kenya to assess the status of East Coast Fever (ECF) and obtain livestock keepers’ perceptions of how the disease impacts on their livelihoods. A total of 658 live...


Kipronoh, K.A.Gathuma, J.M.Kitala, P.M.Kiara, Henry K.[Pastoralists’ perception of the impact of East Coast fever on cattle production under extensive management in Northern Rift Valley, Kenya]Pastoralists’ perception of the impact of East Coast fever on cattle production under extensive management in Northern Rift Valley, Kenya

The mechanisms by which the rabies virus persists in a host population are unclear. Mathematical models of rabies have difficulty in explaining how the rabies virus persists in the host population between epidemics. Simple deterministic models of rabies predict an unrealistically low number of in...


Kitala, P.M.Coleman, P.G.McDermott, John J.[Modelling the potential importance of wildlife for rabies persistence in Machakos District, Kenya]Modelling the potential importance of wildlife for rabies persistence in Machakos District, Kenya

Introduction Rift valley fever (RVF) is a viral zoonotic disease of economic importance caused by a virus of the Phlebovirus genus, Bunyaviridae family. The disease occurs cyclically between 5 to 15 years which is associated with El Nino weather phenomenon. Various studies have been done to map R...


Kiunga, P.N.Kitala, P.M.Kipronoh, K.A.Mosomtai, G.Kiplimo, Jusper RonohBett, Bernard K.[Using ecological niche modelling for mapping the risk of Rift Valley fever in Kenya]Using ecological niche modelling for mapping the risk of Rift Valley fever in Kenya

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