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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Psychosocial support is a very important component in Gender Based Violence response that provide appropriate care, protection and social integration. Psychological aspects affect thoughts, emotions, behavior, memory, learning ability, perceptions and understanding. While the social aspects have ef...fects on relationships, often shaped by traditions, culture ,values, family and community, but also include one’s status in the community and economic wellbeing. These have different effects on the women, men, boys and girls as victims /survivors and perpetuators.
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