Domestic Violence Act Training Module
Bishkek 2015
Accessed: 26.09.2019
Where must I go if I feel unwell or have had an accident? Is medical treatment free in Switzerland or must I pay for it? What should I do in an emergency? What types of insurance do I need? How can I protect myself from illness? Where can I find health information in my own language? The Health Guid...e to Switzerland answers these and many other qüstions. Available in 18 languages: Albanian, Arabic, English, French, German, Italian, Croatian/Serbian/Bosnian, Portugüse, Spanish, Russian, Turkish, Thai, Tamil, Tigrinya, Vietnamese, Urdu, Farsi, Somali. For other languages check following link: http://www.migesplus.ch/publikationen/gesundheitsversorgung/show/gesundheitswegweiser-schweiz-3-komplett-überarbeitete-auflage/
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This report summarizes the findings of the 2010 Rwanda Demographic and Health Survey (RDHS). The 2010 Rwanda Demographic and Health Survey (RDHS) was designed to provide data for monitoring the population and health situation in Rwanda. The 2010 RDHS is the fifth Demographic and Health Survey to be ...conducted in Rwanda (DHS in 1992, 2000, and 2005 and Interim DHS in 2007-08). The objective of the survey was to provide up-to-date information on fertility, family planning, childhood mortality, nutrition including anemia testing, maternal and child health, domestic violence, malaria including malaria testing, maternal mortality, awareness and behavior regarding HIV/AIDS and other sexually transmitted infections, and HIV prevalence.
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Census Report Volume 4-C
The 2014 Myanmar Census provided the opportunity to measure maternal mortality. The questions on deaths in households during the twelve months prior to the Census were included in the questionnaire, as well as questions necessary to estimate maternal mortality indicator...s.
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Design and Illustration Ioanna Aravani
Sources: National Commitment and Policy Instrument, 2019
This document presents the findings of the National Census of Persons with Disabilities in Rwanda. The preliminary result of this census has been used to produce a summary analysis of tables and figures. It shall be possible to derive basic socio-demographic indicators as well as to obtain the estim...ate of persons with disability in Rwanda, all of which shall serve as a reference to the categorization activity planned to be done in the near future by a medical committee from the Ministry of Health. The data of this report relate to (1) Persons with disability size for various administrative units (Districts and Provinces), (2) Distribution of Persons with disabilities by sex, age, marital status and type of disabilities.
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Ethiopia is home to 25 million girls and women who have experienced FGM. More than half are in the regions of Oromia and Amhara. Overall, 65 per cent of girls and women aged 15 to 49 have undergone FGM. The highest prevalence is in the Somali (99 per cent) and Afar (91 per cent) regions
Provision of integrated RH/FP/STI/HIV services
In Togo, the limited access of populations, especially women, young girls and children to Reproductive Health (RH), Family Planning, treatment of sexually transmissible infections (STI) and struggle against HIV quality services is responsible for t...he continuously low indicators in these areas. To remedy the problem, UNFPA Togo, in partnership with the Department of Family Health, the Health districts and the NGOs 3ASC and ATBEF, support the initiative of the Mobile Clinic to bring RH/FP/STI/HIV quality services closer to the women, the young girls and children living in rural areas in its intervention areas, with the aim of reaching MDG 4 and 5.
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Male and Female Respondents Interviewed Along the Central and the Eastern Mediterranean Routes in 2017
9,483 surveys conducted with migrants in Italy, Bulgaria, Greece, Hungary, Kosovo, Montenegro, Romania, Serbia and The former Yugoslav Republic of Macedonia, in 2017
DHS Methodological Report No. 20
This study used Service Provision Assessment (SPA) and Demographic and Health Survey (DHS) data from Haiti, Malawi, and Tanzania to compare traditionally used additive methods with a data reduction method—principal component analysis (PCA).
We scored ...the quality of health facilities with three approaches (simple additive, weighted additive, and PCA) for two constructs: quality of services, with only facilities-level data, and quality of care, which incorporates observation and client data. We ranked facilities as high, medium, or low quality based on their scores. Our results indicated that the rankings change with the scoring methodology. There was more consistency in the rankings of facilities by the simple additive and PCA methods than the weighted additive and PCA-based rankings. This may be due to the low factor loadings and little variance explained by the first component in the PCA. We aggregated facility scores to their respective DHS clusters (Haiti, Malawi) or regions (Tanzania) and geographically linked them to women interviewed in DHS surveys to test associations between the use of family planning services and the quality environment, as measured with each index.
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