Indicators for monitoring the 2016 United Nations Political Declaration on Ending AIDS
UNAIDS supports countries to collect information on their national HIV responses through the Global AIDS Monitoring (GAM) framework—an annual collection of 72 indicators on the response to HIV in a country.... These data form part of the data set used to report back to the General Assembly.
Different from the HIV epidemiological estimates that countries produce for data on the state of the epidemic in a country—that is, data for making estimates on the number of people living with HIV, AIDS-related deaths, etc.—GAM collects information on HIV programmes, including the number of people living with HIV who know their HIV status and people on HIV treatment, and on stigma and discrimination. A full list of the indicators is given in the GAM guidelines.
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Nepal has made substantial progress in reducing under-five mortality and is on track to achieve Millennium Development Goal 4, but advances in neonatal health are less encouraging. The objectives of this study were to assess relative and absolute inequalities in neonatal mortality over time, and to ...review experience with major programs to promote neonatal health.
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UNAIDS 2018, Guidance
Indicators for monitoring the
2016 Political Declaration on Ending AIDS
Guidance Document
Unite for Children
Guidance
Indicators for monitoring the 2016 Political Declaration on Ending AIDS
UNAIDS Joint United Nations Programme on HIV/AIDS
Pakistan Global Antibiotic Resistance Partnership (GARP) was formed in the wake of international and national efforts for AMR curtailment. A group of experts from microbiology, infectious diseases and veterinary medicine formed a core group at the organizational meet...ing of GARP in Kathmandu, Nepal in July 2016. In the meeting, this core group was expanded to include other members from different sectors with the selection of the Chair and co-chairs. These were asked to serve on a voluntary basis, in their own individual capacities, with no personal gains, or gains to the institutions to which they are affiliated. The first phase of GARP took place from 2009 to 2011 and involved four countries: India, Kenya, South Africa and Vietnam. Phase one culminated in the 1st Global Forum on Bacterial Infections, held in October 2011 in New Delhi, India. In 2012, phase two of GARP was initiated with the addition of working groups in Mozambique, Tanzania, Nepal and Uganda. Phase three has added Bangladesh, Lao PDR, Nigeria, Pakistan and Zimbabwe to the network to date.
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This guideline document lays out the indicators for monitoring the 2016 Political Declaration on ending AIDS. The Global AIDS Monitoring (GAM) process has been often referenced as a benchmark for successful international accountability mechanisms.
Please download the latest report from the official website:
http://www.nacp.go.tz/site/publications/epidemiology-and-research-coordination
Findings from this report reveal that, rates of early marriage are high, a significant percentage of children contribute to the household’s income or are its main source of income, and restrictions on the mobility of women and girls constrain their participation in social and economic activities a...nd their access to basic services. As the overwhelming majority of refugees do not have paid employment and rely mainly on aid and dwindling family resources, the more the situation of displacement is prolonged the greater the likelihood of higher rates of child labour for boys and early marriage for girls.
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Promoting People's Health to Enhance Social-economic Development
Ghana is attracting global attention for efforts to provide health insurance to all citizens through the National Health Insurance Scheme (NHIS). With the program’s strong emphasis on maternal and child health, an expectation of the program is that members will have increased use of relevant servi...ces. The NHIS does appear to enable pregnant women to access services and allow caregivers to seek care early for sick children, but both the quantitative and qualitative assessments also indicated that the poor and least educated were less likely to have insurance than their wealthier and more educated counterparts.
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