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DEVELOPING DATA ESTIMATES – MAKING ADOLESCENTS AND YOUNG PEOPLE COUNT TO REACH THOSE MOST AT RISK AND IN NEED By: Ulrike Gilbert-Nandra, Chief HIV, UNICEF KENYA

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Page 1: IAS PPT template

DEVELOPING DATA ESTIMATES – MAKING ADOLESCENTS AND YOUNG PEOPLE COUNT

TO REACH THOSE MOST AT RISK AND IN NEED

By: Ulrike Gilbert-Nandra, Chief HIV, UNICEF KENYA

Page 2: IAS PPT template

OBJECTIVES & METHODOLOGY• Objectives: To generate and utilize adolescent HIV data estimates for

national level and counties

•Between late 2015 and June 2016: Review of programme data, estimates development using Spectrum, consultations with government, CSOs and development partners.

• In partnership with the NACC led national HIV estimates working group, NASCOP, CDC, UNAIDS, WHO, NEPHAK, Avenir Health and other partners

Page 3: IAS PPT template

Source info here: UNICEF NACC Analysis of Kenya HIV Estimates for 2015

RESULTS: New HIV Infections in Adolescents and Young People in Kenya

15-19 20-24 Total0

5,000

10,000

15,000

20,000

25,000

30,000

35,000

40,000

28% 42%35%

72% 58%

65%

Male Female

17,76517,998

35,763

• Nearly half of all new HIV infections in young people, with 2/3 in girls

• Every day, 49 new HIV infections in 15-19 year olds

Page 4: IAS PPT template

Source : UNICEF-NACC Analysis of Kenya HIV Estimates for 2015.

Adolescents 10 to 19 years living with HIV by county

Nearly 50% of all adolescents living with HIV, live in six counties: 1. Homabay2. Kisumu 3. Siaya4. Nairobi5. Migori6. Mombasa

H o ma B

ay

K i su m

uS i a

y a

N a i r o b i

Mi g

o r i

Mom

b as a

K ak amega

N aku ru

Bu s i aK i s

i i

Mac h ak o s

K i am

b uK i l i

fi

Bu n go ma

Maku en i

K i t u i

U as i n G

i sh u

Tr an s Nz o i a

Meru

N y ami r a

Tu r kan a

K wal e

K a j i ad o

V i hi g

a

K er i ch o

N aro k

Mu ran ga

Nan d i

Bo met

Emb u

Ta i t a Tav et a

Th a r aka

N yer i

L a i ki p

i a

B a r i ngo

N yan d aru a

K i r i ny aga

Man d er a

Wes t P

o k o t

El gey o M

arakwet

G ar i ss a

Isi o

l o

Samb u r u

Mar s ab i t

Tan a Ri v

er

L amuW

aj i r0

2000

4000

6000

8000

10000

12000

14000

16000

18000

Adolescents 10-19 years living with HIV by County

cOUNTIES

Page 5: IAS PPT template

Source : UNICEF-NACC Analysis of Kenya HIV Estimates 2015.

AIDS related death in adolescents 10-19 years old by county

K i am

b u

Mu r an g a

Ny er i

K i ri n

y ag a

Ny an d ar u a

H o ma B

a y

K i su m

uS i a

y a

Na i ro b i

K ak ameg a

Nak u r u

Mi g

o r i

Mo m

b a sa

B u s i a

B u n go ma

Uas i n G

i sh u

Tr an s Nzo i a

K i l ifi

Tu r k an a

K a j i ad o

Ma c h ak o s

V i hi g

a

K w a l e

Mak u en i

K i tu i

K i si i

K e r i ch o

Na r o kM

er u

Ny ami r

a

Nan d i

B o me t

Ta i ta T

a v e t a

Man d er a

L a i ki p

i a

Emb u

G a r i ss a

B a r i ng o

Th a r ak a

Wes t P

o k o t

E l gey o M

a r ak wet

Wa j i r

S amb u r u

I si o

l o

Ta n a Ri v

e r

L amu

Ma r s ab i t

0

100

200

300

400

500

600

700

AIDS-related deaths among adolescents 10-19 years by county

• Nearly 80% of AIDS related deaths among adolescents occur in five other counties

• Two adolescents living with HIV die every day in Kiambu county

Page 6: IAS PPT template

Source : UNICEF-NACC Analysis of Kenya HIV Estimates 2015.

HIV infections in adolescents 10-19 years by county

• 62% of new infections in adolescents occur in same six counties

• Every day in Homabay, 8 adolescents get HIV

• Every day in Mombasa, 2 adolescents get HIV

H o ma B

ay

K i su m

uS i a

ya

Mi g

o r i

Na i ro b i

Mo m

b asaK i s

i i

Mac h ako s

Nyami r

a

Maku e n i

K i tu i

K i l ifi

Me r u

K i am

b u

K wa l e

Naku r u

K akame ga

Emb u

Uas i n G

i sh u

Tr an s Nzo i a

Bu s i a

Ta i ta T

av e t a

Th ar aka

Mu r an ga

Tu r k an a

Bu n go ma

K a j i ad o

K e r i ch o

Nar o k

Nye r i

V i hi g

a

Nan d i

Bo me t

Nyan d ar u a

K i ri n

y ag a

I si o

l o

L a i ki p

i a

Mar sab i t

Tan a Ri v

e r

Bar i ngoL am

u

We s t P

o ko t

E l ge yo M

ar akwe t

Man d e r a

Samb u r u

Gar i ssa

Waj i r

0

500

1000

1500

2000

2500

3000

3500

Adolescent HIV infections 10-19 years by county

cOUNTIES

Num

ber o

f new

infe

ction

s

Page 7: IAS PPT template

Source : UNICEF Analysis of Estimates, Data from Kenya NSNP Single Registry, Census 2009, KHIBS 2005

Deep Dive: Adolescent Assessment for Mombasa County

Children Cash Transfer Coverage Number of children Number Coverage

Children living in poverty

154,98

3

Orphans

29,920 CT-OVC 13,117

Other NSNP

2,648

TOTAL NSNP

15,765 10.2%

• Mombasa county total population 1.2 million people with 17% (202.668) adolescents 10-19 years

• Net secondary school enrollment: Girls 22% (12,335), Boys 31% (15,207)

Living with HIV

HIV infections

AIDS related death

0 1000 2000 3000 4000 5000 6000

5005

681

120

Adolescents 10-19 years HIV Estimates for Mombasa County

Page 8: IAS PPT template

Deep Dive: Adolescent Assessment for Mombasa County

• Results of the adolescent assessment informed the new County AIDS Strategic Plan

• Demand for data from decision makers

• Accountability at all levels

Page 9: IAS PPT template

CONCLUSIONS• Critical to strengthen age/sex disaggregated data at sub

national level to re-sharpen the focus: WHO, WHERE and HOW LONG

• Complement HIV data with sectoral data to inform the WHAT and HOW

• ‘Who is dying where’ pointing to issues related to quality of services in medium and low burden counties

• Demand for data from decision makers that its being used • Data alone is not sufficient - Views and spaces for adolescent

and young people living with HIV (Sauti Skika)

Page 10: IAS PPT template

• National AIDS Control Council Kenya (NACC)

• National AIDS and STI Control Programme (NASCOP)

• Communities of people living with HIV: NEPHAK, WOFAK, Sauti Skika

• County governments and NGOs (LVCT Health)

• UNICEF Headquarters and UNICEF East and Southern Regional Office

• Avenir Health

ACKNOWLEDGEMENTS

Page 11: IAS PPT template

THANK YOU