Data from the 2000, 2005, and 2011 Demographic and Health Surveys. DHS Trend Reports No. 7
Sci Rep. 2016; 6: 25920. Published online 2016 May 16. doi: 10.1038/srep25920
Health Systems in Transition. Vol. 5 No.3 2015
Education in emergencies is a young area; the evidence of its impact is often anecdotal, and although its status as a humanitarian concern has gained legitimacy in recent years, it has yet to be accepted across the humanitarian community. Much more needs to be done to enhance our understanding of t...he links between education and child protection in emergency situations.
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This study, and similar studies in Kenya, Mozambique, Swaziland, Uganda, and Zambia is the outcome of close collaborative by a team in Swaziland, with technical and financial support from the UNAIDS Regional Support Team for Eastern and Southern Africa, UNAIDS Geneva, and the World Bank's Global HIV.../AIDS Program (Global AIDS Monitoring and Evaluation Team). The study entailed using existing data and collecting new data to better know the country's HIV epidemic, know the country HIV response and how funding was allocated, so as to improve the HIV response and strengthen prevention based on evidence on what works to prevent new infections.
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The uneven distribution of HIV risks and burdens across populations is a well-substantiated fact, though seldom publicly acknowledged. Gay men and other men who have sex with men, people who inject drugs, sex workers, and transgender women are 24, 24, 13.5, and 49 times more likely to acquire HIV, ...respectively, than other reproductive aged adults (15 years old and older). Globally, new infections among these key populations account for 45% of all new HIV infections. This figure is likely to be an underestimate, given the intense stigma associated with disclosing and reporting acquisition risks for HIV among gay men, people who use drugs, sex workers, and transgender people. In addition, HIV epidemics in the majority of low- and middle-income countries (90 of 120) have concentrated epidemics among key populations. In countries with more broadly generalized epidemics, risks are still not evenly distributed and key populations still shoulder disease burden that is markedly disproportionate.
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New research published today shows that older, disabled and injured Syrian refugees are paying a double toll as a result of the conflict. The report, released by Handicap International and HelpAge International, provides new data showing how much these vulnerable refugees are struggling to meet thei...r specific needs
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Lancet Oncol 2018 Published Online September 12, 2018 http://dx.doi.org/10.1016/S1470-2045(18)30447-9
Report on the symposium 26–28 May 2015, New Babylon Meeting Center, The Hague
The systematic surveillance of antibiotic use and antibiotic re-sistance prevalence in humans and animals is imperative for managingbacterial infectious disease (JPIAMR, 2019;WHO, 2015). Many low-income countries currently face substantial challenges in building national surveillance systems due to ...a lack of infrastructure and resources,resulting in a shortage of systematic data (FAO/OIE/WHO, 2018)
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This Guidance Document provides practical assistance to Country Offices scaling up programmes to manage SAM in young children. It outlines a step-by-step process through which countries can analyse their current situation, identify barriers and bottlenecks through the MoRES approach, and plan action... to scale-up treatment. In particular it addresses the challenge of supporting governments to accelerate and sustain scale-up, build national capacities and source reliable and sustained supplies and financing for managing SAM. This document also provides complementary background information, references to international technical recommendations, resources and tools.
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This study aimed to analyze the geographical distribution of coronavirus disease 2019 (COVID-19) and to identify high-risk areas in space and time for the occurrence of cases and deaths in the indigenous population of Brazil. This is an ecological study carried out between 24 March and 26 October 20...20 whose units of analysis were the Special Indigenous Sanitary Districts. The Getis-Ord General G and Getis-Ord Gi* techniques were used to verify the spatial association of the phenomena and a retrospective space–time scan was performed. There were 32 041 confirmed cases of COVID-19 and 471 deaths. The non-randomness of cases (z score = 5.40; P < 0.001) and deaths (z score = 3.83; P < 0.001) were confirmed. Hotspots were identified for cases and deaths in the north and midwest regions of Brazil. Sixteen high-risk space–time clusters were identified for the occurrence of cases with a higher RR = 21.23 (P < 0.001) and four risk clusters for deaths with a higher RR = 80.33 (P < 0.001). These clusters were identified from 22 May and were active until 10 October 2020. The results indicate critical areas in the indigenous territories of Brazil and contribute to better directing the actions of control of COVID-19 in this population.
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