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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The unmet need for palliative care in Cox’s Bazar
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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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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This report provides an update on the level of poverty based on 2013/14 Integrated Household Living Conditions Survey (EICV4) focusing on poverty as measured in consumption terms. The report also highlights other trend dimensions of living conditions captured in other surveys that complement and pro...vide a holistic understanding of poverty and living conditions.
Rwanda’s economy has been growing steadily at about 8% since 2001 with GDP per capita more than tripling from US$ 211 in 2001 to US$ 718 in 2014. Food crop production growth was more than twice that of population growth between 2007 and 2014.
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Standard Operating Procedures | RBC/IHDPC/EID Division | 9/30/2011
Detection, confirmation and management Salmonella Typhi outbreak
National Operational Guidelines
To Initiating a Maternal, Neonatal and Child Health Project in Urban Slums with Social Mapping, Census Taking, and Community Engagement
Updated September 2021.
Provision of water and sanitation and good hygiene practices play an essential role in protecting human health during all disease outbreaks, including during Ebola Virus Disease (EVD) outbreaks. This question and answer document provides practical, evidence-based recommend...ations on minimum requirements and best practices for water, sanitation, hygiene (WASH). It was originally developed in 2014 during the West Africa Ebola Outbreak and has been updated in 2021 to reflect lessons learned and new operational research data. The key recommendations on WASH remain the same.
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Strengthening health-system emergency preparedness.
This report presents, for the first time, a global assessment of the extent to which health care facilities provide essential water, sanitation and hygiene (WASH) services. Drawing on data from 54 low- and middle-income countries, the report concludes that 38% lack access to even rudimentary levels ...of water, 19% lack sanitation and 35% do not have water and soap for handwashing. When a higher level of service is factored in, the situation deteriorates significantly. A number of areas require urgent action and WHO will work with UNICEF, Governments and other partners to develop a global plan to address the most pressing needs and ensure that all health care facilities have WASH services.
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