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2
Unacceptable inequality: AIDS deaths rising among adolescents
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 20120
50,000
100,000
150,000
200,000
250,000
Children aged 0–4 Children aged 5–9 Adolescents aged 10-19 Young people aged 20–24
Deaths in adolescents aged 10 - 19
Deaths in children aged 0 – 4 years
Deaths in children aged 5 – 9 years
Deaths in young people aged 20 - 24
Source: UNAIDS 2012 HIV and AIDS estimates
3
HIV and AIDS Among Adolescents
1. One in five people are aged between 10 and 19
2. 2.1 million adolescents live with HIV - 1.7 million (82%) in Sub-Saharan Africa
3. In all other regions: HIV concentrated in key populations
4. HIV is now the second leading cause of death among adolescents, 300 deaths every day
South Africa
Mozambique
Kenya DRC
Tanzania
Cameroon
Cote dIvoire
Swaziland
Uganda
Malawi
Nigeria
Zimbabwe
Leso
tho
Zambia
Indonesia
Russian Federation
IndiaChina
Brazil USA0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
8273 73 72 72 70 70 70 70 69 69 69 69
62 6050 49
3829 29
1827 27 28 28 30 30 30 30 31 31 31 31
38 4050 51
6271 71
% female % male
Per c
ent (
%)
Source: UNAIDS 2012 HIV and AIDS estimates
A Tale of Two Epidemics
New HIV Infections in Adolescents in 20 Countries with Highest Number of New HIV Infections, 2012
Results: M:F Annual AIDS Mortality Risk Ratio
Source: UNICEF analysis of UNAIDS, 2012 HIV and AIDS estimates
1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 20120.8
0.9
1.0
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
Male-to-female AIDS mortality risk ratio among all low- and middle-income countries, 1990-
2012, by age groupAges 0-4 Ages 5-9 Ages 10-14 Ages 15-19 Ages 20-24 Ages 25+
Mal
e-to
-fem
ale
annu
al A
IDS
mor
talit
y ri
sk r
atio
Results: Annual AIDS Mortality Risk
Source: UNICEF analysis of UNAIDS, 2012 HIV and AIDS estimates
Ages 0-4 Ages 5-9 Ages 10-14 Ages 15-19 Ages 20-240%
1%
2%
3%
4%
5%
6%
7%
8%
9%
10%
9.1%
3.9%
6.8%
5.3%
1.5%
2.9%
Annual AIDS mortality risk among people living with HIV in all low- and middle-income coun-
tries, 2012, by age and sexMales Females
Ann
ual A
IDS
mor
talit
y ri
sk (%
)
41. Invest more and invest smarter in
adolescents
2. Deliver what works and strengthen Data on adolescents
3. Empower and Engage adolescents
4. Accelerate our response
What is needed?
Investment Framework (IF)
Reduce RiskReduce the
likelihood of transmission
Reduce mortality and
morbidity
Critical Enablers
Basic Programme Activities
o PMTCTo Condom promotion and distributiono Key populations o Treatment care and support to PLWH o Male Circumcisiono Behavior Change programmes
Social Protection, Education, Legal Reform, Gender Equality, Poverty Reduction, Gender-Based Violence, Health Systems (inc. STI treatment & blood safety), Community Systems, Employer Practices
SYNERGIES WITH
DEVELOPMENT SECTORS
Smarter investments can decrease new infections
Generalized epidemic settings
Source: Stover, J. et al., JAIDS. (66) Jul, 1, 2014
New HIV Infections
Effective combination prevention:
Cash, care and HIV-risk for adolescents in South Africa
L Cluver, M Orkin, M Boyes, L SherrIAS, July 2014
Hunger
Community violence
Parental HIV/AIDS
Informal settlement
2011Structural deprivation
2012HIV-risk behavior
incidence
Poverty & family AIDS predict adolescent HIV-risks: how?
Transactional sex
Age-disparate sex
Sex using substances
Multiple partners
Unprotected sex
Pregnancy
controlling for: baseline HIV-risk, age, gender
all p<.001
12-14 years 15-17 years0
1
2
3
4
5
6
7
8 % Incidence of
transactional sex (OR .49 CI .26-.93*)
South Africa: Child grant reduces incidence & prevalence of transactional sex and age-disparate sex for girls
No cash transfer
Child cash transfer
Cluver, Boyes, Orkin, Pantelic, Molwena, Sherr (2013). The Lancet Global Health.
12-14 years 15-17 years
% Incidence of age-dis-parate sex
(OR .29 CI .13-.67**)
Estimated Resource Needs for Adolescents: Modeling Results
2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020$0
$1,000,000,000
$2,000,000,000
$3,000,000,000
$4,000,000,000
$5,000,000,000
$6,000,000,000
$7,000,000,000
Prog
ram
sEn
able
rsSe
ctor
Syn
ergi
es
33%
25%
40%
Source: Stover, J. et al., JAIDS. (66) Jul, 1, 2014