Contains data from World Health Organization's data portal covering the following categories:
Mortality and global health estimates, Sustainable development goals, Millennium Development Goals (MDGs), Health systems, Malaria, Tuberculosis, Child health, Infectious diseases, Neglected Tropical Disea...ses, World Health Statistics, Health financing, Tobacco, Substance use and mental health, Injuries and violence, HIV/AIDS and other STIs, Public health and environment, Nutrition, Urban health, Noncommunicable diseases, Noncommunicable diseases CCS, Negelected tropical diseases, Infrastructure, Essential health technologies, Medical equipment, Demographic and socioeconomic statistics, Health inequality monitor, Health Equity Monitor, Child malnutrition, TOBACCO, Neglected tropical diseases, International Health Regulations (2005) monitoring framework, 0, Insecticide resistance, Oral health, Universal Health Coverage, Global Observatory for eHealth (GOe)
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Key demographic indicators Children & Infant mortality
Key demographic indicators Children & Infant mortality
2015-16 Demographic and Health Survey and Malaria Indicator Survey
Annual Household Survey 2015/16 is the forth survey of its kind. These annual surveys are conducted to provide estimations of some major socio-economic indicators on annual basis which would not be possible with other periodic surveys like Nepal Labour Force Surveys (NLSS) and Nepal Living Standard ...Surveys (NLSS) which are undertaken at longer intervals. The survey basically aims to provide estimates of consumption by sex, urban-rural area and by consumption quintiles/deciles. Although the major thrust of Annual Household Survey is on consumption and employment situations, other sectors like education, housing and housing facilities and demographic characteristics are also included. As this year NLSS survey is conducted so, this survey does not contain information on employment situation as in previous annual household surveys.
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Massoda Tonye et al. Malar J (2018) 17:156
https://doi.org/10.1186/s12936-018-2284-7
Background: In 2011, the demographic and health survey (DHS) in Cameroon was combined with the multiple indicator
cluster survey. Malaria parasitological data were collected, but the survey period did not overl...ap with the high
malaria transmission season. A malaria indicator survey (MIS) was also conducted during the same year, within the
malaria peak transmission season. This study compares estimates of the geographical distribution of malaria parasite
risk and of the effects of interventions obtained from the DHS and MIS survey data.
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Updated: 27 December 2013
Basic Indicators | Nutrition | Health | HIV/AIDS | Education | Demographic Indicators | Economic Indicators | Women | Child Protection | The Rate Of Progress | Adolescents | Disparities By Residence | Disparities By Household Wealth | Early Childhood Development
This document presents the findings of the National Census of Persons with Disabilities in Rwanda. The preliminary result of this census has been used to produce a summary analysis of tables and figures. It shall be possible to derive basic socio-demographic indicators as well as to obtain the estim...ate of persons with disability in Rwanda, all of which shall serve as a reference to the categorization activity planned to be done in the near future by a medical committee from the Ministry of Health. The data of this report relate to (1) Persons with disability size for various administrative units (Districts and Provinces), (2) Distribution of Persons with disabilities by sex, age, marital status and type of disabilities.
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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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Barriers to the prompt and effective diagnosis and treatment of malaria exist at both the community and health facility level. Household surveys measure malaria case management at the population level with standard indicators that assess treatment-seeking behavior, access to diagnostic testing, and ...access to appropriate treatment. Performance on these indicators varies widely from country to country. Among countries with Demographic and Health Surveys (DHS) or Malaria Indicator Surveys (MIS) completed between 2014 and 2016, advice and treatment was sought for a median of 47% of children under age 5 with fever.
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The World Health Organization and the Global Fund to Fight AIDS, Tuberculosis and Malaria are part 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 inequal...ities 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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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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