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Publication Years
1
4434
8267
1114
71
6
2
2
1
Category
5169
862
788
688
681
318
123
3
Toolboxes
1331
1078
710
631
559
552
463
445
404
384
362
336
317
240
213
196
185
181
177
159
122
115
98
87
81
10
3
The Journal of Infection in Developing Countries 7(3):289-292
Key Malaria Indicators from the 2017 Rwanda Malaria Indicator Survey - The table in this key indicator report provides estimates of key indicators for the country as a whole and for each of the five provinces in Rwanda.
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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March - December 2018
The Government of Bangladesh has kept its borders open to Rohingya refugees and leads the humanitarian response. The people of Bangladesh continue to show tremendous generosity and hospitality in the face of a massive influx. In keeping with its policies, the Government of Ban
...
gladesh refers to the Rohingya as “Forcibly Displaced Myanmar Nationals”, in the present context. The UN system refers to this population as refugees, in line with the applicable international framework for protection and solutions, and the resulting accountabilities for the country of origin and asylum as well as the international community as a whole. In support of these efforts, the humanitarian community has rapidly scaled up its operations as well. Over a two-month period, the refugee population in Cox’s Bazar more than quadrupled.
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The primary objectives of the 2017 TMIS are to measure the level of ownership and use of mosquito nets; assess coverage of intermittent preventive treatment for pregnant women; identify treatment practices, including the use of specific antimalarial medications to treat malaria among c
...
hildren age 6-59 months; measure the prevalence of malaria and anemia among children age 6-59 months; and assess knowledge, attitudes, and practices among adults with malaria.
This table provides estimates of key indicators for the country as a whole and for each of the 31 geographic regions in Tanzania. A comprehensive analysis of the 2017 TMIS data will be presented in a final report. more
This table provides estimates of key indicators for the country as a whole and for each of the 31 geographic regions in Tanzania. A comprehensive analysis of the 2017 TMIS data will be presented in a final report. more
This working paper was conceived to offer practical tips and suggestions on how to establish and sustain the multisectoral coordination needed to develop and implement National Action Plans on AMR (NAPs). It is intended for anyone with responsibility for addressing AMR at country level. Drawing on b
...
oth the published literature and the operational experience of four ‘focal countries’ (Ethiopia, Kenya, Philippines and Thailand), it summarizes lessons learned and the latest thinking on multisectoral working to achieve effective AMR action.
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This report presents the findings of the Estimating the Size of Populations through a Household Survey (ESPHS) study that took place in 2011. The study utilized a single household survey to estimate the size of several key populations, including sex workers, men who have sex with men (MSM), injectin
...
g drug users (IDU), and clients of sex workers. These populations include several groups outlined in the National Strategic Plan for HIV and AIDS as most at risk for HIV infection, specifically sex workers and MSM.
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General fact sheet in booklet form about the 2014-2015 Demographic and Health Survey conducted in Rwanda. The 2010 Rwanda Demographic and Health Survey (RDHS) provides up-to-date information on the population and health situation in Rwanda. The 2010 RDHS is the fifth national Demographic and Health
...
Survey conducted in the country. Repeated surveys allow for an analysis of trends over time. The survey is based on a nationally representative sample. It provides estimates at the national and provincial levels.
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HIV Prevalence: Data from the 2010 Rwanda Demographic and Health Survey.
This report summarizes the findings of the 2010 Rwanda Demographic and Health Survey (RDHS). The 2010 Rwanda Demographic and Health Survey (RDHS) was designed to provide data for monitoring the population and health situation in Rwanda. The 2010 RDHS is the fifth Demographic and Health Survey to be
...
conducted in Rwanda (DHS in 1992, 2000, and 2005 and Interim DHS in 2007-08). The objective of the survey was to provide up-to-date information on fertility, family planning, childhood mortality, nutrition including anemia testing, maternal and child health, domestic violence, malaria including malaria testing, maternal mortality, awareness and behavior regarding HIV/AIDS and other sexually transmitted infections, and HIV prevalence.
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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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DHS Further Analysis Reports No. 108 - This report examines levels, trends, and inequalities in maternal health in Rwanda from 2010 to 2014-15 among women age 15-49 with a recent birth. The analysis uses Demographic and Health Survey (DHS) data for 15 key indicators of maternal health: 6 for antenat
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al care, 3 for delivery, 1 for postnatal care, and 5 for barriers to accessing medical care. Levels and trends in these indicators were analyzed overall and by three background characteristics: women’s education, household wealth quintile, and region.
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Rwanda 2010: A Dramatic Change in Reproductive Behavior
Westoff, C.F., F. Ngabo, C. Munyanshongore, M.A. Umubyeyi, and E. Kagame
Calverton, Maryland, USA: ICF International.
(2013)
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DHS Further Analysis Reports No. 90 - In Rwanda, between 2005 and 2010, there have been radical declines in the desired number of children, actual fertility, and child mortality along with a large increase in contraceptive prevalence. This study reviews trends in some of these measures. Multivariate
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analyses evaluate the relative importance for
the desired number of children of years of schooling, wealth, urban residence, media exposure, child mortality, and attitudes toward gender equality. Variations in reproductive preferences, the total fertility rate, and unmet need for family planning are mapped for the 30 districts of Rwanda. The explanations for the rapid changes in reproductive attitudes and behavior are clearly related to the concerns of the country, the rapid rate of population growth, and its implications for economic development and reproductive health.
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World Health Organisation Report on the global Tobacco Epidemic Rwanda Country profile (2017)
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
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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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2016 revision
Mental Health Atlas-2014 country profiles
Report on the nutrition and health situation of Nigeria
Data collection – 13th July to 13th September 2015
Data collection – 13th July to 13th September 2015
This report complements the previous poverty analysis studies by presenting a series of poverty maps of Rwanda at cell and sector levels, based on data from EICV4 and the 2012 Population and Housing Census. A poverty map is simply a map that shows the incidence of poverty in different areas of the c
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ountry. It allows the viewer to appreciate, at a glance, the geographic dimensions of poverty. Apart from their intrinsic interest, poverty maps may be used to help guide the allocation of resources across local agencies or governmental units, in an effort to better target efforts to reach the poor by pinpointing the small areas of most need.
In 2015, the National Institute of Statistics of Rwanda (NISR) published the Rwanda Poverty Profile Report which provided a detailed portrait of the extent and nature of poverty in the country, while in 2016 a Poverty Trends Analysis Report which complements the Profile study by looking at the trends in poverty between 2010/11 and 2013/14 was also published. Both reports were based on information collected by an integrated household living conditions survey (EICV4) undertaken between October 2013 and September 2014.
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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
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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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