Non-Communicable Diseases (NCDs) have emerged as conditions of great public health concern in Kenya accounting for 39% of deaths annually. The Ministry of Health through the Department of Non-Communicable Diseases has adopted the vision of achieving a nation free from preventable burden of NCDs. Fur...ther, the mission of this strategy is to halt and reverse the rising burden of NCDs through effective multisectoral collaboration and partnerships by ensuring Kenyans receive the highest attainable standard of NCD continuum of care that is accessible, affordable, quality, equitable and sustainable thus alleviating suffering, disease and death for their well-being and socio-economic development.
The scope of NCDs covered by this strategy include; cardiovascular diseases, cancer, diabetes, chronic respiratory diseases, mental health conditions, violence and injuries, hemoglobinopathies, haemophilia and other bleeding disorders, auto immune diseases, chronic renal diseases, epilepsy and other neurological disorders, chronic skin conditions and oral diseases and conditions. It equally addresses seven risk factors; tobacco use, harmful use of alcohol, unhealthy diets and toxins, physical inactivity, indoor air pollution, environmental pollutants and toxins and stress.
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The survey aimed at evaluating the quality of selected antimalarials in six countries of sub-Saharan Africa (Cameroon, Ethiopia, Ghana, Kenya, Nigeria and the United Republic of Tanzania). These countries have been supported by WHO to strengthen their regulatory controls o...ver antimalarial products. The survey was organized independently of manufacturers of antimalarial medicines.
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This chapter of the AMP LLIN Mass Campaign Toolkit outlines the strategic communication approaches that are essential before, during and after long-lasting insecticide-treated net (LLIN) distribution campaigns. It emphasises the importance of setting up a national communications sub-committee under ...the leadership of the National Malaria Control Programme (NMCP) and the Ministry of Health (MoH) to coordinate advocacy, social mobilisation and behaviour change communication (BCC). The aim of these three components is to secure political and financial support, mobilise communities, and promote sustained net use through tailored, multi-channel messaging. Effective coordination and planning are critical for successful malaria prevention efforts.
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The refugee exodus from South Sudan continues at an alarming rate, even as the crisis is entering its fifth year. Close to 2.4 million South Sudanese have fled to neighbouring countries mostly to Uganda—the largest host country in sub-Saharan Africa—followed by Sudan, Ethiopia, Kenya, the Democr...atic Republic of the Congo (DRC) and the Central African Republic (CAR).
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This report investigates the impact of potential misclassification of samples on HIV prevalence estimates for 23 surveys conducted from 2010-2014. In addition to visual inspection of laboratory results, we examined how accounting for potential misclassification of HIV status through Bayesian latent ...class models affected the prevalence estimates. Two types of Bayesian models were specified: a model that only uses the individual dichotomous test results and a continuous model that uses the quantitative information of the EIA (i.e., the signal-to-cutoff values). Overall, we found that adjusted prevalence estimates matched the surveys’ original results, with overlapping uncertainty intervals. This suggested that misclassification of HIV status should not affect the prevalence estimates in most surveys. However, our analyses suggested that two surveys may be problematic. The prevalence could have been overestimated in the Uganda AIDS Indicator Survey 2011 and the Zambia Demographic and Health Survey 2013-14, although the magnitude of overestimation remains difficult to ascertain. Interpreting results from the Uganda survey is difficult because of the lack of internal quality control and potential violation of the multivariate normality assumption of the continuous Bayesian latent class model. In conclusion, despite the limitations of our latent class models, our analyses suggest that prevalence estimates from most of the surveys reviewed are not affected by sample misclassification.
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The purpose of this strategy is to guide the planning, management and development of human resources for health in Rwanda for the period 2011 - 2016. The overall aim of the plan is to increase the number of appropriately skilled, motivated and equitably distributed health service providers for Rwand...a.
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The government of Rwanda conducted the 2010 Rwanda Demographic and Health Survey (RDHS) to gather up-to-date information for monitoring progress on healthcare programs and policies in Rwanda, including the Economic Development and Poverty Reduction Strategy (EDPRS), the Millennium Development Goals ...(MDGs),
and Vision 2020. The 2010 RDHS is a follow-up to the 1992, 2000, 2005, and 2007-08 RDHS surveys. Each survey provides data on background characteristics of the respondents, demographic and health indicators, household health expenditures, and domestic violence. The target groups in these surveys were women age 15-49 and men age 15-59
who were randomly selected from households across the country. Information about children age 5 and under also was collected, including the weight and height of the children.
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The main objective of the 2014-15 RDHS was to obtain current information on demographic and health indicators, including family planning; maternal mortality; infant and child mortality; nutrition status of mothers and children; prenatal care, delivery, and postnatal care; childhood diseases; and ped...iatric immunization. In addition, the survey was designed to measure indicators such as domestic violence, the prevalence of anemia and malaria among women and children, and the prevalence of HIV infection in Rwanda. For the first time, this 2014-15 RDHS also includes indicators to monitor HIV testing among children age 0-14 as well as domestic violence for males age 15-59.
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Risk of spill-over of EVD to Uganda has been categorised as very high. On 28 September 2018, WHO elevated the risk at the regional level which includes Uganda from ‘high’ to ‘very high’. Uganda has a very long and largely porous border with the DRC. High population movements across the borde...rs occur for various reason including for trade, social activities and services and asylum. There are cross-border markets in several border districts in Uganda and DRC that involve thousands of people crossing into and out of DRC and Uganda for trade purposes several days in a week.
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