What we know about the Impact of HIV/AIDS on Teachers: a general overview
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Transcript of What we know about the Impact of HIV/AIDS on Teachers: a general overview
What we know about the Impact of HIV/AIDS on
Teachers: a general overview
byAlan Whiteside and Peter Badcock-
WaltersHealth Economics and HIV/AIDS
Research DivisionUniversity of Natal
National trends in HIV prevalence
0
5
10
15
20
25
30
35
40
45
1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000
% H
IV p
osi
tive Botswana
Namibia
South Africa
Swaziland
HIV Prevalence
1 - 3%
3 - 6%
6 - 9%
9 - 12%
12 - 15%
15 - 18%
18 - 21%
21 - 24%
24 - 27%
27 - 30%
30 - 33%
33 - 36.2%
Provinces
Northern Cape
Eastern Cape
Free State
North West
Western Cape
Northern Province
KwaZulu-Natal
MpumalangaGauteng
1997Northern Cape
Eastern Cape
Free State
North West
Western Cape
Northern Province
KwaZulu-Natal
MpumalangaGauteng
1998
Northern Cape
Eastern Cape
Free State
North West
Western Cape
Northern Province
KwaZulu-Natal
MpumalangaGauteng
1999
Northern Cape
Eastern Cape
Free State
North West
Western Cape
Northern Province
KwaZulu-Natal
MpumalangaGauteng
2000
Northern Cape
Eastern Cape
Free State
North West
Western Cape
Northern Province
KwaZulu-Natal
MpumalangaGauteng
1994
Northern Cape
Eastern Cape
Free State
North West
Western Cape
Northern Province
KwaZulu-Natal
MpumalangaGauteng
1995
Northern Cape
Eastern Cape
Free State
North West
Western Cape
Northern Province
KwaZulu-Natal
MpumalangaGauteng
1996
Progression of HIV Prevalence in South AfricaTrends Amongst Provincial AnteNatal Clinic Attendees, 1994-2000
Source: National HIV and Syphilis Sero-PrevalenceSurvey of Women Attending Public AnteNatalClinics in South Africa, 1994 - 2000.
The Health Economics & HIV/AIDS Research DivisionUniversity of NatalKing George V AvenueDurban, 4041Tel: +27 31 260 2592Fax: +27 31 260 2587Email: [email protected]: www.und.ac.za/und/heard
Developed by Susan Erskine & Lucinda Franklin
We wish to acknowledge the assistance of staff atEduAction in the development of this output.In particular, we wish to thank Daniel Wilson for hisinvaluable guidance, time and provision of resources.
Legend
Intro.
Epidemic Curves, HIV
27Aug01 - Report I: Epidem’gy & Lit. p. 27
T1 T2 Time
Numbers
A1
A2
HIV prevalence
A
B
Epidemic Curves, HIV and AIDS
27Aug01 -Report I: Epidem’gy & Lit. p. 27
T1 T2 Time
Numbers
A1
A2
HIV prevalence
AIDS - cumulative
B1
A
B
Epidemic Curves, HIV, AIDS & Impact
27Aug01 -Report I: Epidem’gy & Lit. p. 27
T1 T2 Time
Numbers
A1
A2
HIV prevalence
B1
A
B
AIDS - cumulative
Impact
0
10
20
30
40
50
6019
85
1987
1989
1991
1993
1995
1997
1999
2001
2003
2005
2007
2009
Mil
lio
ns
Tota
l po
pu
lati
on
0
1
2
3
4
5
6
7
8
9
Mil
lio
ns
Nu
mb
ers
HIV
, AID
S s
ick
and
HIV
dea
ths
Totalpopulation
Total HIV
TotalnumberAIDS sick
CumulativeHIVdeaths
Numbers infected, sick and dead, ASSA2000
HIV Positive South AfricansA projection
0
1000000
2000000
3000000
4000000
5000000
6000000
7000000
1995 2000 2005 2010
years
popu
latio
n
Source: Metropolitan Life
All orphans and orphans due to AIDS by HIV prevalence, Uganda, by year
1985 1990 1995 2000 2005 2010 Year0
0.5 million
1 million
1.5 million
2 million
Total Number
0
6%
12%
HIV Prevalence
Total Orphans
AIDS Orphans
HIV Prevalence
A model of futureAIDS and non-AIDS Deaths
0
200000
400000
600000
800000
1000000
1200000
1995 2000 2005 2010 2015
year
num
ber
of d
eath
s
Other deaths AIDS Deaths
Declining life expectancy
Changes in life expectancy in selected African countries with high and low HIV prevalence: 1950-2005
Source: UNAIDS, 2002. Report on the global HIV/AIDS epidemic
Projected population structure with and without the AIDS epidemic, Botswana, 2020
80757065605550454035302520151050
020406080100120140 0 20 40 60 80 100 120 140
Males Females
Deficits due to AIDS
Projected population structure in 2020
Population (thousands)
Ag
e in
yea
rs
Source: US Census Bureau, World Population Profile 2000
AIDS orphans in South Africa
33
NYHQ HIV/AIDS Unit Apr 21, 2023
Estimated increase in adult death rates relative to the 1985 rates
Women
0.000
0.500
1.000
1.500
2.000
2.500
3.000
3.500
15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64
Age
Rati
o
1994
1996
1997/8
1998/99
1999/2000
NYHQ HIV/AIDS Unit Apr 21, 2023
Estimated increase in adult death rates relative to the 1985 rates
Men
0.000
0.500
1.000
1.500
2.000
2.500
3.000
3.500
15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64
Age
Rat
io
1994
1996
1997/8
1998/99
1999/2000
What goes around comes around part 1
What goes around comes around