DHS Working Papers No. 119
The 2018 NDHS is a national sample survey that provides up-to-date information on demographic and health indicators. The sample was selected using a stratified, two-stage cluster design, with enumeration areas (EAs) as the sampling units for the fir...st stage. The second stage was a complete listing of households carried out in each of the 1,400 selected EAs. The target groups were women age 15-49 and men age 15-59
in randomly selected households across Nigeria. A representative sample of approximately 42,000 households was selected for the survey. One-third of the households (14,000) were selected for malaria, anaemia, and genotype testing of children age 6-59 months. Also, in the subsample of households selected
for the men’s survey, one eligible woman in each household was randomly selected for additional questions regarding domestic violence. Specifically, information was collected on fertility levels, marriage, fertility preferences, awareness and use of family planning methods, child feeding practices, nutritional status of women and children, adult and childhood mortality, awareness and attitudes regarding
HIV/AIDS, and female genital mutilation. The survey also assessed the nutritional status (according to weight and height measurements) of women and children in these households. In addition to presenting national estimates, the report provides estimates of key indicators for both rural and urban areas, the country’s six geopolitical zones and 36 states, and the Federal Capital Territory (FCT).
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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 resu...lts, 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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DHS Comparative Reports No. 42
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, includ...ing 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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he National Institute of statistics of Rwanda (NISR) in collaboration with the worldwide Demographic and Health Surveys Program implemented the 2014-15 Rwanda Demographic ...ighlight medbox">and Health Survey (RDHS) to collect data for monitoring progress on health programs and policies in Rwanda. This publication illustrates the profile of Northern Province.
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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 st...atus of mothers and children; prenatal care, delivery, and postnatal care; childhood diseases; and pediatric 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 2015-16 MDHS is a national sample survey that provides up-to-date information on fertility levels; marriage; fertility preferences; awareness and use of family planning methods; child feeding practices; nutrition; adult ...-highlight medbox">and childhood mortality; awareness and attitudes regarding HIV/AIDS; women’s empowerment; and domestic violence. The target groups were women and men age 15-49 residing in randomly selected households across the country. In addition to national estimates, the report provides estimates of key indicators for both urban and rural areas in Myanmar and also for the 15 states and regions.
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DHS Working Papers No. 85
The World Health Organization and the Global Fund to Fight AIDS, Tuberculosis and Malaria are pa...rt of a group of agencies working together to accelerate progress towards the health-related SDGs through the Global Action Plan for Healthy Lives and Well-being for All. Understanding patterns of inequalities in these diseases is essential for taking strategic, evidence-informed action to realize our shared vision of ending the epidemics of HIV, TB and malaria.
This report presents the first comprehensive analysis of the magnitude and patterns of socioeconomic, demographic and geographic inequalities in disease burden and access to services for prevention and treatment.
The results confirm there have been improvements in service coverage and decreased disease burden at the national level over the past decade. But they also reveal an uncomfortable reality: unfair inequalities between population subgroups within countries are widespread and have remained largely unchanged over the past decade. For some disease indicators, inequalities are even worsening.
Moreover, the report points to the persistent lack of available data to fully understand inequality patterns in HIV, TB and malaria. Collecting data to improve the monitoring of inequalities in these diseases is vital to develop targeted responses for impact.
There are, encouragingly, isolated successes in reducing inequities. Change is possible when deliberate action is taken to reach disadvantaged populations.
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Between 2012 and 2016, development assistance for HIV/AIDS decreased by 20·0%; domestic financing is therefore critical to sustaining the response... to HIV/AIDS. To understand whether domestic resources could fill the financing gaps created by declines in development assistance, we aimed to track spending on HIV/AIDS and estimated the potential for governments to devote additional domestic funds to HIV/AIDS.
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Contraceptive Dynamics Following HIV Testing
The TB section of the toolkit presents selected (a) programmatic output and (b) outcome and impact indicators for TB. In addition to recommended monitoring programs ...ht medbox">and measuring the outcomes and impact of TB programs, indicators for the strengthening of health systems, strengthening of community systems and some indicators that measure quality of services are also included.
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In 2020, the COVID-19 pandemic impacted the world beyond imagination. To date, it has infected more than 135 million people, killed over 2.9 million people, and is projected to plunge up to 115 million people into extreme poverty.1 As countries have... gone into lockdown, gender-based violence has increased, unemployment has soared, and access to health care for the poorest and most vulnerable has been cut. COVID-19 has made people less likely to seek health care because they are afraid of getting infected with the virus. Fear and uncertainty surrounding COVID-19 have also increased stigma and discrimination. As frontline workers without enough access to personal protective equipment (PPE) risk their lives to treat patients, the virus pushes already fragile health systems to the brink.
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It estimates that there have been 228,000 additional deaths of children under five in these six countries [Afghanistan, Nepal, Bangladesh, India, Pakistan and Sri Lanka] due to crucial services, ranging from nutrition benefits to immunisation, being... halted.
It says the number of children being treated for severe malnutrition fell by more than 80% in Bangladesh and Nepal, and immunisation among children dropped by 35% and 65% in India and Pakistan respectively...
It also estimates that there have been some 3.5 million additional unwanted pregnancies, including 400,000 among teenagers, due to poor or no access to contraception...
The interruption to health services also affected those suffering from other diseases - the report predicts an additional 5,943 deaths across the region among adolescents who couldn't get treated for tuberculosis, malaria, typhoid and HIV/Aids.
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