HIV Prevalence by Age Group, Botswana 2004 and 2008
0
5
10
15
20
25
30
35
40
45
Age Group
2004
2008
2004 6.3 6 3.9 6.6 19 33 40.2 35.9 30.3 29.4 20.9 14 12 9 13.1 17.1
2008 2.2 4.7 3.5 3.7 12.3 25.9 39.7 40.5 40.6 29.8 24.8 22.8 15.4 10.8 9.4 17.6
1.5 - 4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 Total
HIV Prevalence by Age group, Botswana 2004 and 2008
0
5
10
15
20
25
30
35
40
45
1.5 - 4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74
Age group
Pre
vale
nce
rat
e
2004
2008
HIV Prevalence by Age group and Gender, Botswana 2008
0
10
20
30
40
50
60
Age group
Prev
alen
ce Males
Females
Males 2.3 4.6 3.5 2.4 7.4 16 28.6 37.3 43.6 27.7 28.8 19.5 16.7 13.6 14.4 14.2
Females 2.1 4.8 3.5 5 16 33.9 48.9 42.8 38.4 31.2 22.2 25.1 14.4 16.6 7.6 20.4
1.5 - 4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 Total
HIV Prevalence by Gender, Botswana 2004
0
5
10
15
20
25
30
35
40
45
50
Age Group
Pre
vale
nce
rate
males
females
males 5.9 5.9 3.8 3.1 9.1 22.9 36.2 33.3 33.6 31.7 23.3 11 15.2 8.1 15.8
females 6.8 6.2 3.9 9.8 26.2 41 43.7 37.8 28.1 27.9 19.3 16.3 9 9.6 10.5
1.5 - 4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74
0
5
10
15
20
25
30
35
40
45
50Pr
eval
ence
(%)
15-19 16.4 21.8 20.7 32.4 27.2 28 28.6 21.5 22.9 24.7 21 22.8 18.1 17.5 17.2 13.1
20-24 20.5 27.1 31.5 34.8 40.9 41.4 42.8 38.7 39.4 38.7 37.4 38.6 31.2 29.4 27.9 24.3
25-49 13.6 16 18.3 25.9 27.2 31.1 34 35.9 35.5 40 40.5 42.8 40.7 39.4 43.7 42.4
1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2005 2006 2007 2009
Trends in age-specific HIV prevalence rate among antenatal women 1992-2009, Botswana sentinel surveillance
Incidence and key populations
• Incidence is becoming important measure for tracking epidemic
• 2008, BAIS III made an effort to measure incidence and data is still being analysed with expert support
• Lack of HIV data on key populations• Know Your Epidemic Study being finalized
will assist to learn more about epi and where new infections are coming from
Key drivers/risk factors
multiple and concurrent partnerships by men and women with low consistent condom use and in the context of low levels of male circumcision”, and:– male attitudes and behaviours – inter-generational sex /age-disparate sex– sexual and gender based violence – stigma, denial, lack of openness– untreated viral STIs– Lack of/inadequate male involvement
Underlying context - gender and socio-economic inequalities, mobility, and other structural factors
Botswana NSF II (2010-2016)
• Accelerate Prevention to reduce HIV incidence by at least 50% by 2016: Country wide campaign against MCP launched mid 2009, scale up MC to cover > 400,000 by 2016, move towards virtual elimination of MTCT, strengthen social and community mobilization and empowerment for prevention ownership and effective engagement to drive the agenda. Combination prevention interventions
• Strengthen institutional and community capacity including improvement of enabling environment to access services.
• Improve management of strategic information• Scale up treatment , care and support including TB/HIVFocusing on quality improvements, efficiencies, effectiveness &
sustainability of programmes/interventionsESA reduction in incidence will avert 2.25 mil new infections, 08-
15 and cumulative Rx costs averted, 11.5 billion dollars
Resources
Reduced/flat funding will• Affect prioritization of prevention (MC, MCP interventions etc)
• Hamper efforts to increase Rx coverage and negate the gains made towards universal access and quality
• Lead to an increase in MTCT and pediatric AIDS.
• Compromise ability to strengthen institutional and community capacity
• Affect operations research
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