CHAPTER 15:03 | Acts 14/1969, 62/1971, 35/1974, 20/1978, 41/1978 (s. 35) 39/1979, 7/1987, 11/1988, 18/1989 (s. 27), 1/1996, 6/2000, 22/2001; R.G.N. 899/1978.
Data received as of July 3, 2017 | WHO and UNICEF estimates of national immunization coverage - next revision available July 15, 2018
The National Institute of statistics of Rwanda (NISR) in collaboration with the worldwide Demographic and Health Surveys Program implemented the 2014-15 Rwanda Demographic and Health Survey (RDHS) to collect data for monitoring progress on health programs and policies in Rwanda. This publication ill...ustrates the profile of Eastern Province.
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Levels and Inequities
DHS Further Analysis Reports No. 110
This study shows large variations in maternal health indicators across high-priority counties in Kenya. Nairobi exceeds the national average on all maternal health indicators in this study, while other highpriority counties consist...ently are disadvantaged compared with Kenya as a whole in most maternal health indicators. Kisumu exceeds the national average in use of antenatal care, delivery in a health facility, and postnatal care, but not other indicators. Nakuru has fewer women with fertility risk and fewer women who report that the distance they must travel to reach a health facility is a problem.
This study identifies a number of inequities in maternal health indicators across socio-demographic characteristics in the high-priority counties—most in the distribution of delivery care and least in antenatal care. Inequities are also observed in fertility risk and postnatal care.
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The Human Resources for Health policy (HRH) will provide guidelines and the direction toward strengthening the planning, management, utilization and monitoring of health sector human resources; not forgetting responses to the contemporary challenges and developments in the sector including the mobil...ity and motivation of human resources; and advancements in technology.
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The information provided here can be used to understand the current situation, increase attention to preterm births in Rwanda and to inform dialogue and action among stakeholders. Data can be used to identify the most important risk factors to target and gaps in care in order to identify and impleme...nt solutions for improved outcomes.
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The information provided here can be used to understand the current situation, increase attention to preterm births in Rwanda and to inform dialogue and action among stakeholders. Data can be used to identify the most important risk factors to target and gaps in care in order to identify and impleme...nt solutions for improved outcomes.
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The information provided here can be used to understand the current situation, increase attention to preterm births in Rwanda and to inform dialogue and action among stakeholders. Data can be used to identify the most important risk factors to target and gaps in care in order to identify and impleme...nt solutions for improved outcomes.
more
The information provided here can be used to understand the current situation, increase attention to preterm births in Rwanda and to inform dialogue and action among stakeholders. Data can be used to identify the most important risk factors to target and gaps in care in order to identify and impleme...nt solutions for improved outcomes.
more
The information provided here can be used to understand the current situation, increase attention to preterm births in Rwanda and to inform dialogue and action among stakeholders. Data can be used to identify the most important risk factors to target and gaps in care in order to identify and impleme...nt solutions for improved outcomes.
more
This report covers research conducted on HIV stigma and discrimination using the Stigma Index in the Papua New Guinea provinces of Western Highlands and Chimbu*. When Igat Hope began the project the aim was to conduct interviews in all regions of PNG. However, due to funding constraints and organis...ational capacities, the Stigma Index has only been applied in one region, that is, the Highlands Region. In future, the hope is to gather comparable data from other regions in PNG. Despite the fact that the overall project aims have not yet been achieved, the data contained in this report provides useful information that can be considered as work continues in PNG on HIV-related stigma and discrimination and human rights.
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Estimating the size of key affected populations (KAP) provides important data for planning and implementing an effective response to the HIV epidemic. In the Philippines, these KAP include males who have sex with males (MSM), female sex workers (FSW), and injecting drug users (IDU). Given the diffic...ulty in reaching these populations, as well as their high mobility, the process consequently entailed a specific methodology to directly estimate the size of KAP.
The national estimate of MSM was 531,500 or 2.2% (1.8%-3.2%) of males aged 15-49. Within this MSM estimate, figures for transgender women (TGW) and male transactional sex workers (MSW) were determined. The national estimate for TGW was 122,800 or about 0.50% (0.40%-0.75%) of males aged 15-49, and 23% of the MSM population. Meanwhile, MSW comprised 0.35% (0.29%-0.53%) of the male population aged 15-49 and 16% of the MSM population, giving a best estimate of 86,600.
The estimate of combined RFSW and FFSW was 66,100 or 0.28% (0.19%-0.40%) of females aged 15-49. Meanwhile, there are approximately 10,000 to 21,700 IDU or 0.04%-0.09% of males aged 15-49.
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The National Strategic Plan for HIV/AIDS and STIs 2017-2024 spells out the objectives and targets that we have jointly committed to achieve. The plan describes the strategies and activities that will need to be implemented on the ground across India's 36 States and Union Territories with the help of... AIDS Control Societies, District AIDS Prevention and Control Units, Regional Institutes, communities, development partners and the private sector. We must urgently scale up our efforts to avert new HIV infections and provide care and treatment to people living with HIV to materialise our commitment of ending AIDS in India by 2030.
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