7 research outputs found
Eliot's East Africa Protectorate - The East Africa Protectorate. By Charles Sir Eliot. London: Frank Cass & Co., 1966. Pp. 318, maps. 48 s
The Luyia of Kenya - A History of the Baluyia. By John Osogo. London: Oxford University Press, 1967. Pp. 145. 18 s
Does the structure of agricultural science and technology policy system matter in developing country agricultural productivity growth trends? Evidence from Kenya and Uganda
Despite the acknowledged importance of agricultural science and technology (AS&T) in enhancing agricultural productivity growth, little is known about the structure of AS&T policy system in developing countries. The structure of this policy system in developing countries was analysed using a “system components-shift effects” framework, with Kenya and Uganda as case studies. The framework was incorporated into the second step technical inefficiency effects translog stochastic frontier model. Food and Agriculture Organisation data for years 1970-2002 were used as input-output data. Important AS&T policy system determinants were identified to include: research expenditures, human capital development, domestic research output, farm-level literacy, intellectual property rights regime, degree of economic openness and access to agricultural extension information
How the West was Won: Regional Politics and Prophetic Promises in the 2007 Kenya Elections
Utilization of digital tools to enhance COVID-19 and tuberculosis testing and linkage to care: A cross-sectional evaluation study among Bodaboda motorbike riders in the Nairobi Metropolis, Kenya.
Kenya has registered over 300,000 cases of COVID-19 and is a high-burden tuberculosis country. Tuberculosis diagnosis was significantly disrupted by the pandemic. Access to timely diagnosis, which is key to effective management of tuberculosis and COVID-19, can be expanded and made more efficient through integrated screening. Decentralized testing at community level further increases access, especially for underserved populations, and requires robust systems for data and process management. This study delivered integrated COVID-19 and tuberculosis testing to commercial motorbike (Bodaboda) riders, a population at increased risk of both diseases with limited access to services, in four counties: Nairobi, Kiambu, Machakos and Kajiado. Testing sheds were established where riders congregate, with demand creation carried out by the Bodaboda association. Integrated symptom screening for tuberculosis and COVID-19 was conducted through a digital questionnaire which automatically flagged participants who should be tested for either, or both, diseases. Rapid antigen-detecting tests (Ag-RDTs) for COVID-19 were conducted onsite, while sputum samples were collected and transported to laboratories for tuberculosis diagnosis. End-to-end patient data were captured using digital tools. 5663 participants enrolled in the study, 4946 of whom were tested for COVID-19. Ag-RDT positivity rate was 1% but fluctuated widely across counties in line with broader regional trends. Among a subset tested by PCR, positivity was greater in individuals flagged as high risk by the digital tool (8% compared with 4% overall). Of 355 participants tested for tuberculosis, 7 were positive, with the resulting prevalence rate higher than the national average. Over 40% of riders had elevated blood pressure or abnormal sugar levels. The digital tool successfully captured complete end-to-end data for 95% of all participants. This study revealed high rates of undetected disease among Bodaboda riders and demonstrated that integrated diagnosis can be delivered effectively in communities, with the support of digital tools, to maximize access