Mental disorders impose an enormous burden on society, accounting for almost one in three years lived with disability globally. •In addition to their health impact, mental disorders cause a significant economic burden due to lost economic output and the link between mental disorders and costly, po...tentially fatal conditions including cancer, cardiovascular disease, diabetes, HIV, and obesity.•80% of the people likely to experience an episode of a mental disorder in their lifetime come from low- and middle-income countries.• Two of the most common forms of mental disorders, anxiety and depression, are prevalent, disabling, and respond to a range of treatments that are safe and effective. Yet, owing to stigma and inadequate funding, these disorders are not being treated in most primary care and community settings.
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Many migrants find themselves with limited access, if any, to information about risks, prevention measures, health care and other essential services. Migrants in transit, those in need of international protection or without legal status are likely to be particularly vulnerable, as well as those who ...are homeless, held in detention, living in camps, formal or informal settlements or otherwise precarious conditions
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In 2016, the risk of premature mortality1 from noncommunicable diseases (NCDs) in Ethiopia was 18.3%. The economic costs of NCDs are significant and are due principally to their impact on the non-health sector (reduced workforce and productivity). In this study, it is estimated that NCDs cost Ethiop...ia at least 31.3 billion birr (US$ 1.1 billion) per year, equivalent to 1.8% of the gross domestic product (GDP). Less than 15% of the costs are for health care.
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Developing countries face disastrous healthcare setbacks, hunger and huge international debt as covid-19’s ‘final wave’
revised version December 2020
As a lower-middle-income country (LMIC), South Africa (SA) bears
the burden of maternal and neonatal mortality similar to other sub-
Saharan African countries. According to the Saving Mothers Report
2017/19, there has been a progressive and sustained reduction
in institutional maternal mortality... (iMMR) in the past three triennia
(2010-2019), from 320 per 100,000 live births to 120 per 100,000 live
births.
According to the Rapid Mortality Survey, the country’s infant mortality
rate has declined from 29 deaths per 1000 live births in 2014 to 25
deaths per 1,000 live births in 2018. The institutional neonatal death
rate showed a slight decrease from 12,7 deaths per 1,000 live births in
2016 to the current level of 12 per 1,000 live births and has remained
static at this level for the past three years (saDHIS).
Working towards the Sustainable Development Goal (SDG) of reducing maternal mortality to below 70 per 100 000 live births and neonatal mortality to 12 deaths per 1000 live births, South Africa aims to reduce institutional maternal mortality, neonatal mortality and stillbirths by 50% by 2030.
This Maternal, Perinatal and Neonatal Health Policy provides a
framework for the delivery of quality, comprehensive, and integrated
MNH services and will guide the development and review of guidelines
and related MNH interventions, including strengthening of the service
delivery platform, governance, leadership and accountability for
the provision of quality MNH services, development of advocacy
messages, and guiding civil society priorities and community
initiatives. The policy will also guide the development and review of
academic curricula and the setting of research priorities.
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The KNAP 2018 - 2022 is the second National Nutrition Action Plan that operationalizes the National Food and Nutrition Security Policy 2012 and its implementation framework (NFNSP-IF) 2017–2022.
We combine data on Chinese development projects with data from Demographic and Health Surveys to study the impact of Chinese aid on household welfare in sub-Saharan Africa. We use a novel methodology to test the effect of Chinese aid on three important development outcomes: education, health, and nu...trition. For each outcome, we use difference-in-difference estimations to compare household areas near Chinese project sites to control areas located farther away, before and after receiving Chinese aid. This empirical strategy rules out many confounding factors that can bias measuring the impact of Chinese aid on our outcome variables. First, we find that Chinese projects significantly improve education and child mortality in treatment areas, but do not significantly affect nutrition. Second, social sector projects have a larger effect on outcomes than economic projects. Third, we do not find significant effects for projects that ended more than five years before the post-treatment survey wave. Our results are robust to a host of robustness checks.
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Lessons from the Africa Regional Stigma Training Programme
Supporting community action on AIDS in developing countries