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Stopping HIV: what next? Brian Williams South African Centre for Epidemiological Modelling and Analysis. http://public.me.com/williamsbg. The scale of the epidemic Small pox AD 164-180 Killed 5 million in the Roman Empire Small pox 1520 Killed half of all the Aztecs - PowerPoint PPT Presentation
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Stopping HIV: what next?
Brian Williams
South African Centre for Epidemiological Modelling and Analysis
http://public.me.com/williamsbg
The scale of the epidemic
Small pox AD 164-180Killed 5 million in the Roman Empire
Small pox 1520Killed half of all the Aztecs
Black Death (bubonic plague) 1347-1351Killed 25 million in Europe
Influenza 1918Killed 20 million people
HIV 1980 to …40 million dead; 30 million infected; 20 million more in the next ten years.
The scientific response
1981: CDC reports five deaths
1983: Virus is identified at the Institut Pasteur
1985: The full genome of the virus is sequenced
First ELISA test licensed
1987: AZT approved by the FDA
1996: Triple therapy available but costs $10,000/yr
2006: Cost of first line therapy reduced to $100/yr
2009: 22 drugs in 3 classes; 3 new classes under
development
Papers in peer-reviewed journals
0
1000
2000
3000
4000
5000
1980 1985 1990 1995 2000 2005 2010
100k papers ~ $20 billion
PubMed: HIV & AIDS
Pap
ers
per
year
Everyone is trying to help
Bill Gates
Bob Geldoff
George Bush
Charlize Theron Richard Gere
Bill Clinton
Carla Bruni
0
10
20
30
40
50
1980 1990 2000 2010 2020Year
Funding
Cohen J. HIV/AIDS. The great funding surge. Science. 2008;321:512-9 and UNAIDS
US
$ bi
llion
s
Previous funding
Projected need
“… the White House estimates the cost of [the] 30,000-troop surge would be about $30 billion per year”(Forbes.com 2/12/2009)
Apollo$145 billion
Methods of controlBehaviouralCondomsHave fewer partnersDelay sexual debutAvoid inter-generational sex
SocialMobilize communitiesReduce stigmaSupport sex workersEducation and awarenessEmpower womenDeal with migration
BiomedicalTreat STIsMicrobicidesVaccinesMale circumcision ART
0
10
20
30
40
1980 1985 1990 1995 2000 2005 2010
0
10
20
30
40
1980 1985 1990 1995 2000 2005 2010
0
1
2
1980 1985 1990 1995 2000 2005 2010
0
1
2
1980 1985 1990 1995 2000 2005 2010
De
ath
s (M
/yr)
Pre
vale
nce
(M
)
Impact on HIV in the world
www.unaids.org
$150 billion25 years100k papersGreat and the good
Methods of controlBehaviouralCondomsHave fewer partnersDelay sexual debutAvoid inter-generational sex
SocialMobilize communitiesReduce stigmaSupport sex workersEducation and awarenessEmpower womenDeal with migration
BiomedicalTreat STIsMicrobicidesVaccinesMale circumcision ARTMale circumcision ART
HIV…
Initial doubling time in South Africa 1.5 years
Each HIV-positive person infects one other person every 1.5 years (on average)
Life expectancy after infection 10 years
Each HIV positive person infects 10/1.5 7 people
Testing people once a year, start ART immediately and assume that they are no
longer infectious, we will cut transmission by 10 times and (eventually) eliminate HIV
0.00
0.02
0.04
0.06
0.08
0.10
2.5 3 3.5 4 4.5 5 5.5 6 6.5
But: does ART really cut transmission?
3 4 5 6
0.10
0.08
0.06
0.04
0.02
0.00
Log10(reduction in viral load)
Rel
ativ
e in
fect
ivity
on
AR
T
Wawer, JID, 2005; Fideli, ARHR, 2001.
0.00
0.05
0.10
0.15
0.20
1980 2000 2020 2040
0.000
0.010
0.020
Pre
vale
nce
Inci
de
nce
an
d m
ort
alit
y/yr
Base line
0.00
0.05
0.10
0.15
0.20
1980 2000 2020 2040
0.000
0.010
0.020
Pre
vale
nce
Inci
de
nce
an
d m
ort
alit
y/yr
Incidence
Prevalence
0.00
0.05
0.10
0.15
0.20
1980 2000 2020 2040
0.000
0.010
0.020
Pre
vale
nce
Inci
denc
e an
d m
orta
lity/
yr
Off ART On ART
Mortality
0.00
0.05
0.10
0.15
0.20
1980 2000 2020 2040
0.000
0.010
0.020
Pre
vale
nce
Inci
de
nce
an
d m
ort
alit
y/yr
Off ART On ART
HIV in South Africa: test and treat immediately
Prev.
Inc.
Mort.
Current strategy
Universal access starting at CD4 = 200/µL
0.00
0.05
0.10
0.15
0.20
1980 2000 2020 2040
0.000
0.010
0.020
Pre
vale
nce
Inci
de
nce
an
d m
ort
alit
y/yr
Base line
0.00
0.05
0.10
0.15
0.20
1980 2000 2020 2040
0.000
0.010
0.020
Pre
vale
nce
Inci
de
nce
an
d m
ort
alit
y/yr
Incidence
Prevalence
0.00
0.05
0.10
0.15
0.20
1980 2000 2020 2040
0.000
0.010
0.020
Pre
vale
nce
Inci
de
nce
an
d m
ort
alit
y/yr
Off ART On ART
0.00
0.05
0.10
0.15
0.20
1980 2000 2020 2040
0.000
0.010
0.020
Pre
vale
nce
Inci
de
nce
an
d m
ort
alit
y/yr
Mortality
Off ART On ART
HIV in South Africa: test and treat at 200/L
Prev.
Inc.
Mort.
David Ho: 1995
0.00
0.05
0.10
0.15
0.20
1980 2000 2020 2040
0.000
0.010
0.020
Pre
vale
nce
Inci
de
nce
an
d m
ort
ality
/yr
Off ART On ART
Mortality
0.00
0.05
0.10
0.15
0.20
1980 2000 2020 2040
0.000
0.010
0.020
Pre
vale
nce
Inci
de
nce
an
d m
ort
alit
y/yr
Base line
0.062 M deaths
9 M deaths0.00
0.05
0.10
0.15
0.20
1980 2000 2020 2040
0.000
0.010
0.020
Pre
vale
nce
Inci
de
nce
an
d m
ort
alit
y/yr
Incidence
0.00
0.05
0.10
0.15
0.20
1980 2000 2020 2040
0.000
0.010
0.020
Pre
vale
nce
Inci
de
nce
an
d m
ort
alit
y/yr
Prevalence
Off ART On ART
HIV in South Africa: test and treat immediately in 1998
Prev.
Inc.
Mort.
Assuming that this works what are the possible problems?
• Cost• Side effects• Resistance• Acceptability
0
2
4
6
8
2000 2010 2020 2030 2040 2050Year
Funding availability and needsBlue and brown: 17% of current and projected global funding (UNAIDS)
Green: Universal testing; Red: < 350/µL
US
$ B
illio
ns/y
r
1% current GDP
Universal testing
< 350/L
What will it all cost?
What is the cost of losing a life?
Cost to the state GNI/year x 30 years x Employment rate US$ 6,000 x 30 x 0.6 US$ 100,000
-25
-20
-15
-10
-5
0
5
10
2000 2010 2020 2030 2040 2050
US
$ B
illio
ns/y
r
2% current GDP
4% current GDP
Net costs/savingsBlue and brown: 17% of current and projected global funding (UNAIDS)
Green: Universal testing; Red: < 350/µL
NRTI NNRTI PI FI
What aboutside effects?
NRTI NNRTI PI FI
Drug resistance
Acquired
Between 1% and 5% per year
Phillips, AIDS, 2005Hoffman, CID, 2009
Garcia-Gasco, JAC, 2008
0.00
0.05
0.10
0.15
0.20
1996 1998 2000 2002 2004
Transmitted
Pre
vale
nce
Drug resistance (all forms) Treatment naïve patients in the UK
Dunn, AIDS, 2007
“The wider use of regimens that suppress viral concentration to below infectious levels is one of several plausible explanations for this finding.”
Navneet Garg | Global Business Manager | Vestergaard Frandsen
In Kenya: 41,040 people tested in 1 week
Acceptability/Delivery
Phase I: Pilot projects
• Acceptability of testing• Acceptability of treatment• Compliance with treatment• Minimal side effects• Make sure that we do not create stigma• Check that we get viral-load suppression• Measure residual transmission• Check for viral rebound• Monitor drug resistance• Consider cost and delivery
Phase II: Randomized controlled trials or step-wise interventions
Monitor all of the above outcomes but also measure changes in incidence of HIV and TB at a population level…
Phase III: Just do it
But ensure that we build in the best possible monitoring and evaluation of all biomedical, behavioural and psycho-social consequences while using models to fully understand the dynamics of the impact.
If one is caught in a dark maze it is better to light a candle than to repeatedly walk into the walls. Those [who] continue to dismiss theoretical models, … seem concerned with only the darkness and not the maze.
Ulanowicz 1988
Thank you