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Bari, Somalia

The University of East Africa was established on June 29, 1963 and served Kenya, Tanzania, and Uganda in the eastern African Great Lakes region. The University was originally instituted as an independent external college of the University of London. In 1970, it was split into three independent universities which are now:23x15px Kenya:University of Nairobi23x15px Uganda:Makerere University23x15px Tanzania:University of Dar es Salaam↑ Wikipedia.

Negin J.,University of Sydney | Negin J.,Columbia University | Wariero J.,East Africa University | Cumming R.G.,University of Sydney | And 2 more authors.
Journal of Acquired Immune Deficiency Syndromes | Year: 2010

Background: Health challenges faced by older people in developing countries are often neglected amidst a wide range of competing priorities. This is evident in the HIV field where the upper age limit for reporting HIV prevalence remains 49 years. However, the long latency period for HIV infection, and the fact that older people continue to be sexually active, suggests that HIV and AIDS are likely to affect older people. To better understand this, we studied mortality due to AIDS in people aged 50 and older in an area of rural Kenya with high rates of HIV infection. Methods: A community health worker-administered verbal autopsy system was introduced in Nyanza Province, encompassing 63,500 people. Algorithms were used to determine cause of death. Results: A total of 1228 deaths were recorded during the study period; 368 deaths occurred in people aged 50 years and older. AIDS was the single most common cause of death, causing 27% of all deaths. AIDS continued to be the main cause of death up to age 70 years, causing 34% of deaths in people aged 50-59 years and 23% of deaths in people aged 60-69 years. Conclusions: AIDS remains the principle cause of death among older people in Nyanza Province in western Kenya up until the age of 70 years. Greater efforts are needed to integrate older people into the HIV response and to better understand the specific vulnerabilities and challenges faced by this group. © 2010 by Lippincott Williams & Wilkins. Source

Okori W.,Makerere University | Obua J.,East Africa University
Applied Artificial Intelligence | Year: 2013

The contribution of prior knowledge in prediction of change in food crop prices using ordinary linear regression (OLR) and Gaussian process (GP) based on a probabilistic approach in famine predictions was established in this study. Prior information was obtained from previous results and incorporated into a new dataset. For GP, both approaches incorporating weight-space view and function-space view were applied and results compared. The function-space view produced a more suitable model than the weight-space view and OLR. Probabilistic inference showed better famine prediction accuracy than the conventional inference approach. Addition of prior information into the prediction framework improved prediction. It is recommended that in addition to the developed model, further modeling should be carried out to include the effects of variables such as bumper harvest, availability of inexpensive alternative foodstuffs for consumption, imported foodstuffs to remedy famine, effect of neighborhood price, and cross-border trade. © 2013 Copyright Taylor and Francis Group, LLC. Source

Owino V.O.,Technical University of Kenya | Skau J.,Copenhagen University | Omollo S.,University of Nairobi | Konyole S.,University of Nairobi | And 5 more authors.
Food and Nutrition Bulletin | Year: 2015

Background. Researchers face myriad challenges in the design and implementation of randomized, controlled trials. Apart from summaries on limitations, these challenges are rarely documented in detail to inform future research projects. Objective. To describe methodological challenges encountered during randomized, controlled trials (Win- Food Study) designed to assess the efficacy of locally produced complementary foods based on traditional animal-source foods (edible termites and spiders) to support growth and nutritional status in Kenyan and Cambodian infants. Methods. In a randomized, controlled design, infants received WinFood or corn-soy blend (CSB) for 9 months from 6 to 15 months of age. Lean mass accrual and blood nutrition indicators (lipid profile, iron and zinc status) were measured cross-sectionally at 9 and 15 months of age, respectively. Lean mass was determined by measuring deuterium oxide enrichment in saliva samples following a standard dose of deuterium solution (0.5 g/kg body weight) to infants. Blood nutrition indicators were determined following the drawing of 3 mL of blood by venipuncture. Results. Challenges included rapid depletion of food rations, high rate of loss to follow-up, delayed ethical approval, lack of local food-processing capacity, low capacity among staff to draw blood, and lack of laboratory capacity to perform both deuterium oxide and micronutrient status measurements. Spillage of deuterium oxide solution during dosing was a major challenge in the Kenya context. A high rate of morbidity among infants made some assessments very difficult, especially drawing of blood and saliva samples. Conclusions. The challenges were largely contextual. Improvement of local laboratory capacity, training of staff, and sensitization of the communities and the Ethics Review Committee are highly recommended. Copyright © 2015 International Atomic Energy Agency. Source

Obua J.,East Africa University | Agea J.G.,Makerere University | Ogwal J.J.,Ministry of Water and Environment
African Journal of Ecology | Year: 2010

Trees, forests and woodlands cover about 14% of Uganda's land surface. Over the last 30-40-years, growth in human population and corresponding increase in demand for forest products for domestic and industrial use, expansion of agricultural land, illegal settlements and weak forest management capacity have adversely affected the status of natural forests in Uganda, particularly the biodiversity. Until recently, little attention had been paid to development of commercial forests which should have provided alternative forest products and services to relieve the pressure on natural forests and conserve biodiversity. As a result, Uganda's forests have been degraded, and in some cases, the biodiversity has been eroded. There is a need for regular data collection and monitoring of the status of the forests in terms of areal extent, distribution, plantation species introductions and biodiversity. © 2010 Blackwell Publishing Ltd. Source

Okori W.,Makerere University | Obua J.,East Africa University
Applied Artificial Intelligence | Year: 2011

Early detection of famine reduces the vulnerability of the society at risk. This study examined the application of supervised learning algorithms for famine prediction. Data were collected between 2004 and 2005 from households in northern, central, eastern, and southern parts of Uganda. Data sets from the northern region were the most suitable as a learning sample for other regions. Classification performance of Support Vector Machine, K-Nearest Neighbors, Naïve Bayes and Decision tree in prediction of famine were evaluated. Support Vector Machine and K-Nearest Neighbors performed better than the other methods, and Support Vector Machine produced the best Receiver Operating Characteristics (ROC), which can be used by policy makers to identify famine-prone households. It is recommended that satellite and household data should be used in combination to predict food security because this increases the specificity of households at risk. Copyright © 2011 Taylor & Francis Group, LLC. Source

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