The 2013 RMIS is a nationally representative, household-based survey that provides data on malaria indicators, which are used to assess the progress of a malaria control program. The primary objective of the 2013 Rwanda Malaria Indicator Survey (2013 RMIS) was to provide up-to date information on th...e prevention of malaria to policymakers, planners, and researchers.
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DHS Further Analysis Reports No. 109 - This report documents trends in key child nutrition indicators in Rwanda. Data from the Demographic and Health Surveys (DHS) in 2005, 2010, and 2014-15 were analyzed, disaggregated by selected equity-related variables, and tested for trends. Over the survey per...iod, Rwanda had high rates of exclusive breastfeeding, with regional variation. Rates of continued breastfeeding were also high but generally decreased as mother’s education and household wealth increased in all survey years. Complementary feeding practices varied by region, mother’s education, household wealth, urban-rural residence, and sex of the child.
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Health Systems in Transition. Vol. 5 No.3 2015
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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Single TB and HIV Concept Note Albania 2016-2018 27 April 2015
DHS Working Papers No. 103
We investigate whether and to what extent Chinese development finance affects infant mortality, combining 92 demographic and health surveys (DHS) for a maximum of 53 countries and almost 55,000 sub-national locations over the 2002-2014 period. We address causality by instrumenting aid with a set of ...interacted variables. Variation over
time results from indicators that measure the availability of funding in a given year. Cross-sectional variation results from a sub-national region’s “probability to receive aid.” Controlled for this probability in tandem with fixed effects for country-years and provinces, the interactions of these variables form powerful and excludable instruments. Our results show that Chinese aid increases infant mortality at sub-national scales, but decreases mortality at the countrylevel. In several tests, we show that this stark contrast likely results from aid being fungible within recipient countries.
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Community health workers (CHWs) play a significant role in Primary health Care due to their proximity to households, communities and the health care system. Many studies focus on CHWs and the work they do. However, few have examined their experiences and identity and how that might influence how the...y view and perform their roles. The objectives of the study were to: Describe the role of CHWs in community-based health care in Northern Cape, Identify the perceived barriers and enablers to CHWs role performance, Explore CHWs views regarding the support from the communities and the formal healthcare system in Northern Cape. An exploratory qualitative design using focus groups was adopted. Forty-six (46) CHWs were purposively selected using the critical case sampling approach. Data were collected through three focus group interviews in three regions. Analysis followed the Graneheim & Lundman thematic analysis. Three themes emerged from data: perceived contribution to Primary Health Care, recognition of CHWs role, measures to improve working conditions. Findings showed that CHWs were engaged in various health and social care roles, they believed that they made a significant contribution to PHC, and that the health system persistently relied on their services. The enabler for finding meaning in their work was the positive community response and the good relations they had with the team leaders. The major barrier was the structure of the CHWs programme and the perceived lack of support by the government. The complex issues CHWs address in the community call for a review of their roles and workload as well as the support they receive from the formal healthcare system.
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There is no secret to our procedure: the daily scanning of the literature helps us to stay afloat in the never-ending waves of new publications about SARS-CoV-2 and COVID-19. Many papers discussed in the Top 10 will eventually make it into subsequent editions of COVID Reference.
Top 10 hungriest countries contribute just 0.08% of global CO2.
-Climate & Food Vulnerability Index shows 10 most food insecure countries emit less than half a tonne of CO2 per person
-Burundi is the world's most food insecure and smallest per capita emitter
-The average Briton gener...ates as much CO2 as 212 Burundians
-IPCC blockers Russia, USA and Saudi some of the worst offenders
As scientists of the UN’s Intergovernmental Panel on Climate Change meet in Geneva this week to publish their Special Report on Climate Change and Land (August 8), a new report by the development charity Christian Aid shows that climate change is having a disproportionate impact on the food systems of the country’s least responsible for causing the climate crisis.
The IPCC is expected to show how climate change will affect global food supply, spiking prices and reducing nutrition. It is also likely to recommend that countries will need to drastically cut emissions if global food security is to be protected.
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