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(1)

Life

expectancy

is the

average

lifespan a newborn

can expect

is short when

(2)

20 000

$

2000

$

200

$

Income per person

(comparable dollars per year)

100

80

60

40

20

0

Life expectancy

(years)

1000

100

1

Population

(millions)

50 years

Burund

i

81 years

(3)

20 000

$

2000

$

200

$

Income per person

(comparable dollars per year)

100

80

60

40

20

0

Life expectancy

(years)

1000

100

1

Population

(millions)

50 years

Burund

i

Burundi

(4)

2007

20 000

$

2000

$

200

$

Income per person

(comparable dollars per year)

100

80

60

40

20

0

Age

(years)

Life expectancy

(years)

(5)

2007

20 000

$

2000

$

200

$

Income per person

(comparable dollars per year)

100

80

60

40

20

0

Age

(years)

Life expectancy

(years)

50 years

1000

100

1

Population

(millions)

Burund

i

Burundi

2007

Look at the expected

life of five newborn

(6)

100

80

60

40

20

0

Age

(years)

Sarah

Ann

Jean

Liz

Pierre

Burundi

2007

if conditions remain as in

Burundi in 2007

during their whole lifetime?

(7)

100

80

60

40

20

0

Age

(years)

Sarah

Ann

Jean

Liz

Pierre

Burundi

2007

84

72

57

36

(8)

100

80

60

40

20

0

Age

(years)

Sarah

Ann

Jean

Liz

Pierre

Burundi

2007

84

72

57

36

1

child

adult

old

So yes, 2 of 5

(9)

100

80

60

40

20

0

Age

(years)

Sarah

Ann

Jean

Liz

Pierre

Burundi

2007

84

72

57

36

1

This is the Life

Expectancy

50 years

Calculate the

mean

1+36+57+72+84

(10)

20 000

$

2000

$

200

$

Income per person

(comparable dollars per year)

100

80

60

40

20

0

Life expectancy

(years)

(11)

20 000

$

2000

$

200

$

Income per person

(comparable dollars per year)

100

80

60

40

20

0

Life expectancy

(years)

1000

100

1

Population

(millions)

81 years

Sweden

Sweden

Do all Swedes

(12)

2007

20 000

$

2000

$

200

$

Income per person

(comparable dollars per year)

100

80

60

40

20

0

Life expectancy

(years)

1000

100

1

Population

(millions)

81 years

Look at the expected

life of five newborn

Swedes

2007

Sweden

Sweden

Age

(13)

100

80

60

40

20

0

Age

(years)

Sara

Anton

Jan

Lisa

Per

How long will

they live

if conditions remain as in

Sweden in 2007

during their whole lifetime?

(14)

100

80

60

40

20

0

93

Age

(years)

Sara

Anton

Jan

Lisa

Per

Sweden

2007

63

77

84

88

1 adult

(15)

100

80

60

40

20

0

93

Age

(years)

Sara

Anton

Jan

Lisa

Per

Sweden

2007

63

77

84

88

63+77+84+88+93

5

=81

81 years

(16)

Sweden

2007

100

80

60

40

20

0

1000

100

1

Population

(millions)

Life expectancy

(years)

Sweden

81 years

20 000

$

2000

$

200

$

(17)

Let’s compare

Sweden

(18)

20 000

$

2000

$

200

$

Income per person

(comparable dollars per year)

100

80

60

40

20

0

Life expectancy

(years)

1000

100

1

Population

(millions)

81 years

Sweden

50 years

Burund

(19)

100

80

60

40

20

0

Age

(years)

2007

81

(20)

100

80

60

40

20

0

Age

(years)

2007

But “dying young” in

Sweden

is very

different

from “dying young” in

Burundi

So, no,

all Burundians do

not live 31

years shorter

than Swedes

“To live long” in

Sweden

is almost the

same

as

(21)

Life expectancy

is an average

is low when

child-deaths are common

-Most Burundians get older than 50

-Some die in childhood

-It is low in Burundi

not because all die a bit earlier

-But because

(22)

© 2006 Population Reference Bureau

Essential Question:

How does geography of health

influence population dynamics?

Ans:

Life Expectancy affected. How?

(23)

© 2006 Population Reference Bureau

Infectious Diseases

–invasion of

parasites into body (Two Types)

• 65% of all diseases are infectious

• Malaria –

Vectored (Need Host)

• HIV/AIDS, Influenza-

Nonvectored

(Need Contact)

(24)

© 2006 Population Reference Bureau

Chronic and Genetic Diseases

Also called degenerative diseases

• Afflict middle and old age populations

• 100 years ago in the United States: tuberculosis,

pneumonia, and heart diseases

• Today: Cancer, heart disease, stroke and accidents

are the leading causes of death in the United States

(25)

© 2006 Population Reference Bureau

HIV/AIDS

Leads to Lower Life Expectancies

1980’s began the rapid diffusion

In 2007 68% of all AIDS cases occurred in Sub-Saharan Africa

¼ people in Sub-Saharan Africa infected

(26)

© 2006 Population Reference Bureau

Map of HIV Prevalence Worldwide

2005

Source: UNAIDS, 2006 Report on the Global AIDS Epidemic, 2006.

Adults Ages 15-49 with HIV

(27)

© 2006 Population Reference Bureau

People Living with HIV, by Region

Distribution, 2005

Note: Total exceeds 100 percent due to rounding.

(28)

© 2006 Population Reference Bureau

• In 2005, an estimated 38.6 million adults and children worldwide were living with HIV.

• Sixty-three percent of the world’s HIV population lives in sub-Saharan Africa.

(29)

© 2006 Population Reference Bureau

HIV Demographics, Worldwide

Composition of the Population Living with HIV, 2005

(30)

© 2006 Population Reference Bureau

HIV Demographics, Africa

Composition of the Population Living with HIV, 2005

Sub-Saharan Africa

Rest of the World

(31)

© 2006 Population Reference Bureau

Notes on HIV Demographics, Africa

• The proportion of people living with HIV who are adult women (ages 15 to 49) is 1.9 times higher in sub-Saharan Africa than in other regions.

• In sub-Saharan Africa, where HIV is spread predominantly through heterosexual activity, women account for more than half of the 24.5 million people living with HIV. In other regions, the proportion of people living with HIV who are women drops to an average of around

(32)

© 2006 Population Reference Bureau

Adults with HIV Who are Women

Source: UNAIDS, 2006 Report on the Global AIDS Epidemic, 2006.

2005

(33)

© 2006 Population Reference Bureau

• Women make up almost one-half of HIV-infections worldwide and 59 percent of infections in sub-Saharan Africa, where the virus is spread predominantly through heterosexual transmission and has reached the general population. In a generalized epidemic, women’s low status and inability to negotiate with men puts them at great risk of contracting the disease.

• Women account for smaller percentages of infected people where the AIDS epidemic is limited to high-risk populations such as injecting drug users or men having sex with men.

(34)

© 2006 Population Reference Bureau

Population Structure in 2020

Millions

Male s

Females

With AIDS Without AIDS Age 80+ 75 70 65 60 55 50 45 40 35 30 25 20 15 10 5 0

AIDS’ Toll on Population Structure, South Africa

(35)

© 2006 Population Reference Bureau

Millions

South Africa’s Population With and Without AIDS

(36)

© 2006 Population Reference Bureau

Selected Countries in Sub-Saharan Africa, 2002-2005

Deaths of children under age 5 per 1,000 live births

Source: UNAIDS and UNICEF, A Call to Action: Children, The Missing Face of AIDS, 2005; and United Nations,

World Population Prospects: The 2004 Revision, 2005.

(37)

© 2006 Population Reference Bureau

Sub-Saharan Africa

Millions of children under age 18

Note: Estimate of children who lost at least one parent to an AIDS-related cause. Source: UNAIDS, UNICEF, and USAID, Children on the Brink 2004.

(38)

© 2006 Population Reference Bureau

Children Orphaned by AIDS in Sub-Saharan Africa

Distribution of Orphans, by Country, 2005

References

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