The report surveyed 9 leading bilateral and multilateral education donors in respect of their approach to disability-inclusive education.
Who suffers Most from Extreme Weather Events? Weather-related Loss Events in 2019 and 2000 to 2019
The Global Climate Risk Index 2021 analyses and ranks to what extent countries and regions have been affected by impacts of climate related extreme weather events (storms, floods, heatwaves etc.). The... most recent data available for 2019 and from 2000 to 2019 was taken into account.
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IHME’s Financing Global Health report provides an overview of health spending around the world, with a special focus on investments in health in low- and middle-income countries. The report examines how this funding for health is changing each year and forecasts how it may change in the future. Fi...nancing Global Health examines where money for health originates and what health issues it funds.
This year, Financing Global Health 2023 looks at how interest payments on loans that many countries took out during the COVID-19 pandemic to keep their economies afloat and their people protected are now straining health budgets. It also details how development partners’ investments in health in low- and middle-income countries – development assistance for health – have changed since reaching historic levels during the COVID-19 pandemic, dropping by $19.4 billion between 2021 and 2023, from $84.0 billion to $64.6 billion.
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WHO-AIMS REPORT ON MENTAL HEALTH SYSTEM IN NEPAL
A report of the assessment of the mental health system in Nepal using the World Health Organization - Assessment Instrument for
Mental Health Systems (WHO-AIMS).
Kathmandu, Nepal
DHS Further Analysis Reports No. 97
Report on ILGA-Europe/COC fact-finding mission
This document contains summary information on the latest projections from the IHME model on COVID-19 in Peru. The model was run on July 15, 2022, with data through July 10, 2022.
March 2021
This report presents the key findings of the NFHS-5 survey in Sikkim, followed by detailed tables and an appendix on sampling errors. The 2019-21 National Family Health Survey (NFHS-5), the fifth in the NFHS series, provides information on population, health, and nutrition for India and ...each state and union territory.
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Interconnected Disaster Risks is a new science-based report for the general public from United Nations University – Institute for Environment and Human Security. It was first published in 2021, and is set to become an annual report.
May 2021
This report presents the key findings of the NFHS-5 survey in Telangana, followed by detailed tables and an appendix on sampling errors. The 2019-21 National Family Health Survey (NFHS-5), the fifth in the NFHS series, provides information on population, health, and nutrition for India and... each state and union territory.
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World Drug Report 2018
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Asia-Pacific Disaster Report 2017
The report looks at the extent and impact of natural disasters across the region and how these intersect with poverty, inequality and the effects of violent conflict. But it also shows how scientific and other advances have increased the potential for building di...saster resilience and ensuring that even in the most extreme circumstances people can survive disaster impacts and rebuild their communities and livelihoods.
Disaster resilience is a key element of the 2030 Agenda for Sustainable Development. The Sustainable Development Goals are based on the premise of reaching absolutely everyone. When the drought is assessed, when the flood warnings are broadcast, when the tsunami siren sounds, the aim is to ‘leave no one behind’.
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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.
GLOBAL EDUCATION MONITORING REPORT 2017/8
Summary Report on the Comprehensive Study
This study is made possible by the generous support of the American people through the United States Agency for International Development (USAID). The contents are the responsibility of their authors and do not necessarily reflect the views of USAID or th...e United States Government.
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Reports of antimicrobial-resistant (AMR) microorganisms are increasing globally, threatening to render existing treatments ineffective against many infectious diseases. In Africa, AMR has already been documented to be a problem for human immunodeficiency virus (HIV) and the pathogens that cause mala...ria, tuberculosis (TB), typhoid, cholera, meningitis, gonorrhoea and dysentery. Recognizing the urgent need for action, the 2016 United Nations (UN) General Assembly approved a resolution to ensure sustained and effective global action to address AMR.
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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... 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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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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On this page we provide an overview of excess mortality along with charts to explore the data. You can learn in more depth about different measures of excess mortality, their strengths and limitations, and their comparability across countries