| The
Burden of Malaria in Southern Africa |
|
In Southern Africa
 |
Malaria
is a major public health
priority |
 |
Malaria
is the 1st or
2nd leading cause
of illness and death
|
 |
Malaria
accounts for between 3 (Swaziland)
and 50% (Malawi) of outpatient attendances
|
 |
Malaria
accounts for between 3%
(Swaziland) and 24% (Mozambique)
of inpatient deaths |
Malaria
transmission In Southern Africa
the intensity of malaria transmission
varies considerably and includes
malaria-free areas as well
as unstable and stable transmission
areas. The unstable areas
are prone to epidemics which
can result in high levels
of morbidity and mortality
if not prevented or contained.Southern
African countries that have
unstable transmission and
are particularly prone to
malaria epidemics are Botswana,
Namibia, South Africa, Swaziland
and Zimbabwe. Countries with
predominantly stable transmission
are Angola, Malawi, Mozambique,
Tanzania and Zambia. However,
within these countries there
are also areas with unstable
transmission that have a high
risk of epidemics. For example,
the Northern and Southern
Highlands of Tanzania and
the Angolan plateau.A number
of factors affect malaria
transmission in the subregion.
The chief determinant is climate
which affects both the life
of the anopheles mosquito
and the development of malaria
parasites. The development
of the malaria parasite is
greatly retarded below 20
Celsius. In addition, relative
humidity of over 60% lengthens
the life of the mosquito enabling
it to transmit the infection.
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There
are also a number of human
factors that affect malaria
transmission. Vector control
efforts, particularly residual
house spraying programmes
and source reduction in urban
areas have made previously
malarious districts malaria-free.
Equally the breakdown of vector
control has resulted in previously
malaria free becoming malarious
again such as in the Zambian
Copperbelt. Forced and voluntary
population movements affect
malaria transmission (see
below). Man-made changes to
the environment also affect
malaria transmission. For
example, urbanisation leads
to source reduction. While
dam building particularly
in semi-arid areas can create
foci of malaria transmission.
Population
movements and malariaThe movement
of non-immunes to malarious
areas (e.g. urban migrants
visiting families in rural
areas, business travellers
and tourists) can put individuals
at risk of severe malaria.
While major population movements
from low to high intensity
transmission areas triggered
by such factors as resettlement
schemes, natural disasters
or conflict can cause a sharp
upturn in malaria incidence
and sometimes lead to epidemics.
Equally, migration can introduce
malaria (or drug resistant
strains) into previously malaria-free
areas. Other ways migration
can affect malaria transmission
are by alter environmental
conditions which can facilitate
or hinder transmission; and
return migrants introducing
new ideas and malaria control
products into rural communities.
Population
at risk out of the 139 million
people living in Southern
Africa, approximately 63%
live in malarious areas. In
areas of stable transmission,
under-five year olds and pregnant
women are at greatest risk
of severe malaria due to the
low levels of acquired immunity.
In the predominantly stable
transmission countries
Angola, Malawi, Mozambique,
Tanzania and Zambia
there are an estimated 13,687,000
under-five year olds and 3,302,600
pregnant women at risk of
severe malaria. In the predominantly
unstable transmission countries
Botswana, Namibia,
South Africa, Swaziland and
Zimbabwe where all
age groups have a high risk
of malaria due to low levels
of acquired immunity, it is
estimated 12,382,000 people
are at risk of malaria.Estimated
population at risk of malaria
in Southern Africa, 1998
|
Country
|
Total
population
|
No.
of under-5 year olds
|
No.
of pregnant women
|
%
of population living
in malarious areas
|
No.
of people living in
malarious areas
|
No.
of under-5 year olds
at risk of malaria
|
No.
of pregnant women at
risk of malaria
|
|
Angola
|
11967000
|
2297000
|
568,000
|
100
|
11967000
|
2297000
|
568000
|
|
Botswana
|
1551000
|
243000
|
54,000
|
40
|
620400
|
97200
|
21600
|
|
Malawi
|
10377000
|
1933000
|
493,000
|
10
|
10377000
|
1933000
|
493000
|
|
Mozambique
|
16118000
|
2836000
|
682,000
|
10
|
16118000
|
2836000
|
682000
|
|
Namibia
|
1653000
|
261000
|
59,000
|
66
|
1090980
|
172260
|
38940
|
|
S.
Africa
|
44295000
|
5943000
|
1,311,000
|
10
|
4429500
|
594300
|
131100
|
|
Swaziland
|
931000
|
150000
|
34,000
|
30
|
279300
|
45000
|
10200
|
|
Tanzania
|
32189000
|
5650000
|
1,324,000
|
90
|
28970100
|
5085000
|
1191600
|
|
Zambia
|
8690000
|
1536000
|
368,000
|
100
|
8690000
|
1536000
|
368000
|
|
Zimbabwe
|
11924000
|
1975000
|
438,000
|
50
|
5962000
|
987500
|
219000
|
|
Total
|
139695000
|
22824000
|
5,331,000
|
63
|
88504280
|
15583260
|
3723440
|
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Malaria
Infection in Southern Africa
The prevalence of malaria cases indicate
the intensity of malaria transmission.
High levels of malaria prevalence
(parasitaemia) in children
indicate intense stable transmission.
In the map it can be seen
that in the stable transmission
countries, malaria prevalence
among 2-9 years can be as
high as 60%. While in the
unstable transmission countries,
prevalence is considerably
lower (<15%). Vector control
in some of these countries
(e.g. South Africa and Swaziland)
has contributed to bringing
malaria prevalence down to
very low levels (<2%).
Malaria
morbidityMalaria
is a major cause of morbidity
in Southern Africa. In recent
years, reported malaria cases
have been rising in Southern
Africa.In part, this rise
may be due to the improved
coverage of Health Information
Systems (HIS) and misdiagnosis
due to a general rise in fevers
associated with HIV. However,
for countries with more robust
data (see below) the rise
in malaria cases remains strongly
suggesting that malaria morbidity
is increasing within Southern
Africa. Reasons for this are
likely to include deteriorating
health sectors within the
subregion, a breakdown in
malaria control efforts, rising
drug and insecticide resistance,
population movements and environmental
changes favouring malaria
transmission.
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In areas
of stable transmission, the
most important risk groups
are under-five year olds,
pregnant women and travellers
who normally reside in unstable
or malaria-free areas. The
consequences of malaria in
pregnancy include anaemia,
miscarriages, stillbirths
and low birthweight. Cerebral
malaria can lead to disabling
neurological sequelae. Hence,
among young children, an episode
of severe malaria may negatively
impact on their educational
attainment. In stable transmission
countries severe anaemia among
under-fives is more common
than cerebral malaria. In
unstable transmission countries,
cerebral malaria is the main
complication of severe malaria.
Malaria mortalityMalaria
is a major cause of mortality
in Southern Africa. Obtaining
reliable data on malaria mortality
is very difficult. Misdiagnosis
and unrecorded deaths can
mean surveillance data can
give a misleading picture.
However, by using all cause
population-based mortality
rates and hospital data on
the proportion of deaths attributed
to malaria, it is possible
to calculate broad malaria
mortality estimates. Using
this method, it is estimated
that between 200,000 and 300,000
malaria deaths occur annually
in Southern Africa. Qualitative
reports as well as surveillance
data indicate that malaria
deaths are rising in some
countries (Namibia, South
Africa, Zimbabwe). If this
is the case, it is likely
to be due to a combination
of factors including late-treatment
seeking behaviour, quality
of care, inadequate transport
and communication for referral
systems to function properly,
growing drug resistance and,
possibly, HIV.
|
Country
|
Estimated
under-five (all cause)
mortality rate per 1000
|
Estimated
malaria under-five mortality
rate per 1000
|
|
Angola
|
191
|
38
|
|
Botswana
|
94
|
2
|
|
Malawi
|
222
|
44
|
|
Mozambique
|
162
|
32
|
|
Namibia
|
98
|
2
|
|
South
Africa
|
68
|
0.1
|
|
Swaziland
|
94
|
0.3
|
|
Tanzania
|
123
|
30
|
|
Zambia
|
150
|
27
|
|
Zimbabwe
|
107
|
4
|
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It
is estimated that in Southern
Africa:
 |
Malaria
is responsible for 200,000
deaths per annum |
 |
Between 10,000,000 and 37,000,000 confirmed
cases of malaria occur per
annum |
 |
The incidence
of confirmed malaria is
between 73 and 266 per 1000
population per annum |
 |
The incidence
of confirmed malaria ranges
is between 115 and 420 per
1000 population at risk
per annum |
 |
Malaria parasitaemia
among children age 2-11
years ranges from 0-5% to
40-60% |
The
socio-economic consequences
of malariaWithin Southern
Africa, malaria is a major
impediment to socio-economic
development and an important
cause of poverty. Malaria
impacts on the economy at
a number of levels including
within households and communities,
the private sector, government
and the macro economy.Within
households and communities,
the direct economic costs
of malaria comprise prevention
and treatment costs. Indirect
economic costs may include
absenteeism from work or school,
neglect of domestic jobs,
reduced income and poor scholastic
performance. Social costs
include bereavement, sickness
and death.
Such
factors are likely to both
cause and deepen poverty.
Moreover, the burden of malaria
is often greatest among the
very poor as they are least
able to protect themselves
and seek treatment. Hence,
malaria can exacerbate existing
inequalities.Within the Ministry
of Health, malaria uses up
resources for its prevention
and control. In addition,
to expenditure on insecticides,
drugs, equipment etc., large
numbers of malaria patients
may lead to health facility
staff being stretched beyond
capacity and, thereby, reducing
the standard of care received
by all patients. Malaria also
exerts a major burden on other
Government ministries, notably
education. Malaria causes
staff and student absenteeism
and death, poor concentration
in class and poor scholastic
performance.
Malaria
affects the productivity of
the private sector. Key businesses
that are particularly affected
by malaria are likely to include
agriculture, tourism, mining
and construction industries.
Employees may be affected
by the problem of a sick workforce
causing declining productivity
and costs of providing sick
pay. In the long term this
may lead to a reduction in
the performance and profits
of companies. In addition,
for tourism the threat of
malaria can negatively affect
visitors to the country.Ultimately,
the economic burden of malaria
damages the economic performance
of Southern Africa. Poverty
and inequalities are exacerbated,
government resources come
under increasing pressure,
and the private sector faces
reduced investment, growth,
profits and inflow of foreign
currency. Together, these
factors negatively affect
the gross domestic product
and socio-economic development
is hindered.
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The
Links Between Malaria and Poverty
Poverty and malaria are inter-linked.
Poverty affects malaria.
Communities with low incomes,
limited education and poor
access to health care are
least able to engage in malaria
control activities. Prevention
of malaria may not be affordable
nor properly understood. Equally,
treatment-seeking behaviour
may be influenced by lack
of education as well as inability
to pay transport, consultation
and treatment fees at health
facilities.
At the same time, malaria
affects poverty. In poor
households, a greater proportion
of income is likely to be
spent on malaria treatment
than in richer households.
Malaria illness can cause
to absenteeism from work and
school, poor scholastic performance,
lack of labour for cultivation,
and a decline in child care;
malaria deaths can lead to
funeral costs, loss of an
income-earner and a rise in
orphanhood. Hence, a negative
spiral can develop with malaria
causing and deepening poverty
which, in turn, exacerbates
inequalities in society.
Within Southern Africa the
burden of malaria is greatest
within poor communities located
in malarious areas. Such communities
are resource-poor, have limited
access to health and other
social services, and low levels
of literacy. Malaria-poverty
linkages may exist both in
poor rural communities as
well as peri-urban settlements.
Moreover, in epidemic-prone
countries, malaria epidemics
are likely to be most severe
in the poorest communities.Improvements
in access to primary health
care and primary school enrolment
in Southern Africa are likely
to have increased the ability
of the poor to prevent and
control malaria. However,
considerable work remains
to be done to break the malaria-poverty
negative spiral. Hence, we
need to:
 |
Identify
where malaria and poverty
coincide in Southern Africa |
 |
Establish
the socio-economic burden
of malaria on the poor and
the poors ability
to take part in malaria
control interventions |
 |
Design
malaria control strategies
and interventions that target
the poor and that can make
an impact on poverty as
well as malaria |
 |
Bring
in other sectors and organisations
involved in poverty reduction
to take an active role in
malaria control within poor
communities |
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