Talk Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Orphans in Namibia Urgent Action for Children on the Brink.

Slides:



Advertisements
Similar presentations
Health statistics in MICS and DHS – a gendered perspective Holly Newby Statistics & Monitoring Section UNICEF ESA/STAT/AC.219/12.
Advertisements

Child poverty/outcome determinants and feedback loops in the Global Study Gaspar Fajth, UNICEF DPP.
Estimating and Projecting National HIV/AIDS Epidemics UNAIDS Reference Group on Estimates, Models and Projections.
AIDS Affected Children Access to Education It is important to note that AIDS affected children are constantly excluded from education both from inside.
Title Slide Heading Lucy Hillier RIATT-ESA Intergenerational issues between older caregivers and children in the context of AIDS A study by Regional Interagency.
The Economic Impact of HIV/AIDS Shanta Devarajan.
Asthma Prevalence in the United States
Jali Watoto’s WORTH Program: Household Economic Strengthening in Tanzania Leads to Improved Care for Most Vulnerable Children Presenter: Linda Madeleka,
Multiple Indicator Cluster Surveys Data dissemination and further analysis workshop Literacy Education MICS4 Data Dissemination and Further Analysis Workshop.
Know Your epidemic: The value of population-based household surveys Eva Kiwango Senior Strategic Information Advisor United Nations Joint Programme on.
Programme session 7 Presentation by Kaobari Matikarai, SPC Statistics for Development Division INDICATORS SOURCED FROM DEMOGRAPHIC HEALTH SURVEY (DHS)
Rwanda Demographic and Health Survey – Key Indicators Results.
Overview of HIV & AIDS in Africa
Millennium development goal: Combating the spread of HIV/Aids.
Using data to inform policies: Reducing Poverty by Supporting Caregivers, People Living With HIV/AIDS (PLWA) and Orphans and Vulnerable Children (OVC)
ADF: Impact of HIV/AIDS and Governance by Prof. Alan Whiteside Commissioner CHGA The Epidemic and its Consequences for Africa.
Multiple Indicator Cluster Surveys Data dissemination and further analysis workshop HIV/AIDS, SEXUAL BEHAVIOR, and ORPHANS MICS4 Data dissemination and.
Women and Children The challenges of HIV/AIDS By Mabel Bianco MD, MPH Epidemiologist International Womens Health Coalition FEIM / IAWC Mexico, July 2008.
Monitoring and Evaluating National Responses for Children Orphaned and made Vulnerable by HIV/AIDS Mary Mahy UNICEF Meeting on Results of Pilot Surveys.
Multiple Indicator Cluster Surveys Data Interpretation, Further Analysis and Dissemination Workshop HIV/AIDS and sexual behaviour.
2009 Maldives Demographic and Health Survey. The 2009 Maldives Demographic and Health Survey (MDHS) is the first DHS conducted in Maldives. The MDHS was.
Children Orphaned & made Vulnerable by HIV/AIDS A meeting to discuss and explore key policy issues in India 10 th September 2004 Dr. Balwant Singh.
Report on Progress of operationalization of the M&E guidelines for CABA 1 Dr. Ajith Karawita, National STD/AIDS Control Progamme Mr. Jayantha Peris, Ministry.
Girls’ Education for All Jeopardy! Social-Cultural Barriers to Education Education Facts and Figures Good Practices in getting girls to school Organizations.
HIV and TB; Media for Change Natasha Rybak, MD Brown Ukraine Collaboration May 21, 2012.
Use of Census Data for Gender Statistics MALDIVES STATISTICS DIVISION, DEPARTMENT OF NATIONAL PLANNING REPUBLIC OF MALDIVES.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Sri Lanka Last updated: December 2014.
Map of HIV Prevalence Worldwide
HIV and AIDS Data Hub for Asia-Pacific HIV and AIDS Data Hub for Asia-Pacific Review in slides China 1.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Philippines Last updated: November 2014.
Multiple Indicator Cluster Surveys Data dissemination and further analysis workshop Further Analysis: Youth and Adolescents MICS4 Data dissemination and.
Rwanda: The impact of conflict on fertility Kati Schindler & Tilman Brück Gender and Conflict Research Workshop 10/06/2010.
HIV/AIDS Epidemic Disproportionately Affects Women.
Orphans and other Vulnerable Children: Scaling up Responses Moderator:Mr. Perry Mwangala, USAID Zambia Presenters:Stan Phiri, UNICEF East and Southern.
UN Millennium Development Goals Going on offense against HIV and malaria in Southern Africa.
1 Arman Bidarbakhtnia Statistician, UNSIAP. Areas of focus Health and nutrition of childrenMaternal healthMortality and causes of deathHIV and AIDSHealth.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Philippines Last updated: June 2015.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Papua New Guinea Last updated: July 2015.
AIDS in Sub Saharan Africa AIDS – a virus with no known cure first identified in the Belgian Congo in It’s now a global epidemic, and poverty and.
HIV/AIDS is threatening Africa beyond the scope of Health.
Global HIV prevalence in adults, 1985 UNAIDS/WHO, 2006.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Malaysia Last updated: July 2015.
MEASURE DHS Questionnaire issues July 10, 2007 By: Martin Vaessen.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Afghanistan Last updated: December 2014.
1 HIV and AIDS Data Hub for Asia-Pacific Review in slides Nepal.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Brunei Darussalam Last updated: December 2014.
© 2007 Population Reference Bureau Map of HIV Prevalence Worldwide 2005 Source: UNAIDS, 2006 Report on the Global AIDS Epidemic, Adults Ages
India Last updated: January 2016.
Socio cultural and economic context of HIV/AIDS Chris Desmond MTT August, 2004.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Bhutan Last updated: January 2016.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Lao PDR Last updated: July 2015.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Afghanistan Last updated: January 2016.
WHAT KEEPS VULNERABLE CHILDREN IN SCHOOL? A LOOK AT RESILIENCE IN ZAMBIA PSS Forum, September 2015, Zimbabwe Margaret Henning, Kelvin Munjile, Lisa Langhaug.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Mongolia Last updated: December 2014.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Pakistan Last updated: January 2016.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Myanmar Last Update: June 2015.
Comparing Australia with Developing Countries Morbidity, life expectancy, infant mortality, adult literacy and immunisation rates can be used to compare.
HIV-Sensitive Social Protection Anurita Bains UNICEF HIV/AIDS Regional Advisor East and Southern Africa ICASA – 2015.
Adults living with HIV (15+) (thousands) [5] Children living with HIV (0-14) (thousands) [5] Pregnant.
Programing to Meet the Changing Roles of Orphans and Vulnerable Children Renee DeMarco USAID/Ethiopia December 5, 2011 OWN, SCALE-UP & SUSTAIN The 16 th.
2014 Kenya Demographic and Health Survey (KDHS) Key Indicators.
HIV and AIDS Data Hub for Asia-Pacific 1 Review in slides Women, Children, and Young People HIV and AIDS Data Hub for Asia-Pacific.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Pakistan Last updated: November 2014.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Sri Lanka Last updated: April 2016.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Japan.
Dr Rachel Yates Senior Adviser, UNICEF HIV/AIDS section New York OWN, SCALE-UP & SUSTAIN The 16 th International Conference on AIDS & STIs in Africa 4.
1 06/06 e Global HIV epidemic, 1990 ‒ 2005*HIV epidemic in sub-Saharan Africa, 1985 ‒ 2005* Number of people living with HIV % HIV prevalence, adult (15-49)
Mongolia Last updated: April 2016.
Pakistan Last updated: July 2015.
Myanmar Last Update: November 2014.
Presentation transcript:

Talk Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Orphans in Namibia Urgent Action for Children on the Brink

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Estimates on people living with HIV/AIDS in Namibia, 2001 Number of people living with HIV/AIDS –Adults (15-49): 200,000 –Adult rate:22.5 % –Women (15-49):110,000 –Children (0-14): 30,000 Number of deaths due to AIDS –Deaths in 2001: 13,000 Source: Report on the global HIV/AIDS epidemic, UNAIDS, 2002

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Deaths among young adults (in thousands), , Namibia Source: United Nations Population Division, World Population Prospects: The 2000 Revision

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Life Expectancy, , Namibia Source: United Nations Population Division, World Population Prospects: The 2000 Revision

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Number of orphans under age 15 Namibia, Source: Children on the Brink, 2002, UNICEF, UNAIDS, USAID

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Percent of orphans under age 15 by year and cause, Namibia, (%) Source: Children on the Brink, 2002, UNICEF, UNAIDS, USAID

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Number of double orphans is increasing due to HIV/AIDS, Namibia HIV/AIDS is rapidly increasing the number of orphans who have lost both parents. Once one parent has acquired HIV, the other is highly likely to also become infected and eventually die. Source: Children on the Brink, 2002, UNICEF, UNAIDS, USAID

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 COPING MECHANISMS Key determinants of orphan needs: Age and sex of child Gender of head of household Size of the household Age of guardian Relationship of guardian to child Number of parents dead Proportion of children orphaned in the geographic area Inclusion/exclusion of orphaned children in family and community life Level of AIDS-related stigma and discrimination Access to health education, and social services and safety nets Adapted from: Hunter, s. & Parry, S., HIV/AIDS Prevention and Care in Resource-Constrained Settings, FHI/USAID, 2001

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Age of orphans… Orphans in Namibia

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Proportion of children that lost one or both parents by age, Namibia DHS (%) Age of child

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Proportion of orphans in different age groups, Namibia The number of orphans increases by age rapidly. (As chance of becoming an orphan increases over time/ by age).

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Proportion of orphans in different age groups, Namibia The majority of orphans who have lost both parents are in the age group year old. Double orphans Maternal orphans Paternal orphans

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Where are they…….? Orphans in Namibia

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Percent of households that are Male headed/Female headed, Namibia Number of people

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Percentage of households by age of head of households, Namibia Number of people

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Percent of single orphans not living with surviving parent, Namibia Maternal Orphans not with Father Paternal Orphans not with Mother

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Age of head household children live in...

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Average age of head of household by parental survival, Namibia Orphaned children tend to live in households with older caretakers. Age (Years)

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 % of households with children that are taking care of one or more orphans by gender and age of head of household, Namibia All Male headed households Female headed households All Percent (%) Age of head of household

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 % of all households taking care of one or more orphans by gender and age of head of household, Namibia All Male headed households Female headed households All Percent (%) Age of head of household

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Percent of children living in female headed households, Namibia non-orphansDouble orphansMaternal orphansPaternal orphans Different societies have different t coping systems in which families & communities take care of children that lost their mother/father or both parents.

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Distribution of orphans in household (<15) by age of head of household, Namibia % of all orphans in specific agegroup head of HH

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Percent of children that are orphaned in households (<15) by gender of head of household, Namibia

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Percentage of children that are orphaned in households (<15) by age of head of household, Namibia *The “<18” age group is a very small sample (<50 households)

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Size of household children live in…

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Average size of household by parental survival, Namibia Number of people

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Size of household by parental survival and gender of head of household, Namibia Orphans live in general in larger households. The average household size for female headed households is smaller than male headed households. Number of people

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Who’s caring for the orphans?

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Who takes care of orphans? Relationship of double orphans with head of household they live in, Namibia

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Regional Differences…

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Residence of orphans, Namibia Percentage of children living in rural areas

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Wealth Index

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Wealth Index Percentage of children living in households with different incomes according to whether their parents are alive, Namibia (%) Data not available

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 School attendance Child labour Nutritional Status (underweight) Impact / Vulnerability

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 School attendance (1) Proportion of children aged who are still in school according to whether their parents are alive and by gender (child), Namibia

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 School attendance (2) Proportion of children aged who are still in school according to whether their parents are alive and by location (urban/rural), Namibia

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 School attendance (3) Proportion of children aged who are still in school according to whether their parents are alive and by gender (head of household), Namibia Data not available

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Child labour (1) Proportion of children involved in child labour according to whether their parents are alive and by gender (child), Namibia Child labour is defined here as economic activity or 4 or more hours of household chores per day Data not available

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Child labour (2) Proportion of children involved in child labour according to whether their parents are alive and by location (urban/rural), Namibia Child labour is defined here as economic activity or 4 or more hours of household chores per day Data not available

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Child labour (3) Proportion of children involved in child labour (UNICEF definition) according to whether their parents are alive and by gender (head of household), Namibia Child labour is defined here as economic activity or 4 or more hours of household chores per day Data not available

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Underweight Percent of children aged 0-4 who are underweight according to whether their parents are alive, Namibia (%) Data not available

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Stigma & Discrimination…

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Discrimination Percent of women who express a positive attitude towards people living with HIV/AIDS (PLWHA), Namibia (%) Stigma & discrimination is still common towards people living with HIV/AIDS. The large majority of respondents did not express a positive attitude towards PLWHA. Serious efforts need to be undertaken by national and community leaders to challenge the stigma and eliminate the shame associated with HIV/AIDS. Data not available

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Data collection

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Questionnaire (DHS/MICS) Is FATHER alive? -> if YES -> Does FATHER live here? Is MOTHER alive? -> if YES -> Does MOTHER live here?

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Results/Tabulation % distribution of children 0-14 years old: Living with both parents Living with mother, but not father -Father alive -Father dead Living with father, but not mother -Mother alive -Mother dead Not living with either parent -Both alive -Mother alive, father dead -Mother dead, father alive -Both dead

Talk title (change in slide master) The Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Limitations of data presented Other vulnerable children, including those with ill parents are excluded Street children & children in institutions and probably some child headed households are not included No info on children years old Issues related to property rights of orphans/inheritance not considered in surveys No info on psycho-social issues (loneliness, fear, depression & sadness) Data is mainly at household level, limited info on community dynamics (support from community groups, neighbours, etc.)