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Human Papilloma Virus (HPV) is the most common sexually transmitted infection, and two types of HPV (16 and 18) cause nearly 50% of high-grade cervical pre-cancers. HIV and cervical cancer are inextricably linked. Women living with HIV are six times more likely to develop cervical cancer, which is o
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ne of the AIDS-defining illnesses and the most common cancer among women living with HIV globally. Cervical cancer is a preventable, curable disease and can be eliminated as a public health problem with primary and secondary prevention, treatment, and care of cervical cancer, in combination with addressing social, health and other inequalities and integrated approaches.
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Background paper 8
The Independent Panel for Pandemic Preparedness and Response
May 2021
The Current State of CHW Training Programs in Sub-Saharan Africa and South Asia
Cindil Redick& annah Sarah Faich Dini
One Million Community Health Workers Campaign | mPowering Frontline Health Workers
(2014)
C2
What We Know, What We Don’t Know, and What We Need to Do
National Guidelines for HIV & AIDS Care and Treatment (5th Edition)
Informe sobre poblaciones clave.
Rappart sur les populations clés.
Rapport sur les populations clés.
Informe sobre poblicationes clave.
Intimate Partner Violence and Interruption to Contraceptive Use
Kerry L.D. MacQuarrie, Lindsay Mallick & Sunita Kishor
Rockville, Maryland, USA: ICF International
(2016)
DHS Analytical Studies No. 57
DHS Working Papers No. 113
Predictors of IPTp Uptake among Pregnant Women in the 2010-2011 Zimbabwe Demographic and Health Survey
Chikwasha, Vasco, Isaac Phiri, Pugie Chimberengwa, Donewell Bangure, and Simbarashe Rusakaniko
ICF International
(2014)
C2
DHS Working Papers No. 112 | Zimbabwe Working Papers No. 13
Guidance Note A DFID practice paper
DHS Further Analysis Reports No. 109 - This report documents trends in key child nutrition indicators in Rwanda. Data from the Demographic and Health Surveys (DHS) in 2005, 2010, and 2014-15 were analyzed, disaggregated by selected equity-related variables, and tested for trends. Over the survey per
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iod, Rwanda had high rates of exclusive breastfeeding, with regional variation. Rates of continued breastfeeding were also high but generally decreased as mother’s education and household wealth increased in all survey years. Complementary feeding practices varied by region, mother’s education, household wealth, urban-rural residence, and sex of the child.
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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. more
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. more