Malaria and children: Progress in intervention coverage - Unicef
Malaria and children: Progress in intervention coverage - Unicef
Malaria and children: Progress in intervention coverage - Unicef
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
Rapid ga<strong>in</strong>s have been made <strong>in</strong> <strong>in</strong>secticide-treated<br />
net use by <strong>children</strong> across all sub- Saharan African<br />
countries with available trend data <strong>in</strong> a short<br />
period of time <strong>and</strong> from a very low basel<strong>in</strong>e<br />
19<br />
<strong>Malaria</strong> <strong>and</strong> <strong>children</strong><br />
region’s under-five population (exclud<strong>in</strong>g Nigeria)<br />
<strong>in</strong>creased from 2 per cent to 13 per cent. Despite<br />
this major progress, though, overall <strong>in</strong>secticidetreated<br />
net use still falls short of global targets. 19<br />
While trend data for around 2000–2005 are available<br />
for these countries, large-scale distribution<br />
programmes <strong>in</strong> many countries actually started<br />
much more recently than <strong>in</strong> 2000. Therefore, for<br />
most countries these large ga<strong>in</strong>s occurred <strong>in</strong> an<br />
even shorter timeframe than the trend analysis<br />
implies—less than three years for many countries.<br />
For example, <strong>in</strong>secticide-treated net use <strong>in</strong><br />
Cameroon rema<strong>in</strong>ed low at around 1 per cent<br />
between 2000 <strong>and</strong> 2004, with a sharp thirteenfold<br />
<strong>in</strong>crease <strong>in</strong> <strong>coverage</strong> between 2004 <strong>and</strong> 2006,<br />
as a result of large-scale distribution efforts (see<br />
statistical table 5).<br />
Disparities <strong>in</strong> <strong>in</strong>secticide-treated net use<br />
These high <strong>coverage</strong> rates at the national level,<br />
however, often hide important with<strong>in</strong>-country<br />
disparities. For example, although boys <strong>and</strong> girls<br />
are equally likely to sleep under an <strong>in</strong>secticidetreated<br />
net, <strong>children</strong> with the highest risk of<br />
malaria—those liv<strong>in</strong>g <strong>in</strong> rural areas <strong>and</strong> <strong>in</strong> the<br />
poorest households—are much less likely. Across<br />
sub- Saharan Africa <strong>children</strong> liv<strong>in</strong>g <strong>in</strong> urban<br />
areas are around 1.5 times as likely to be sleep<strong>in</strong>g<br />
under an <strong>in</strong>secticide-treated net as those liv<strong>in</strong>g <strong>in</strong><br />
rural areas—<strong>and</strong> <strong>children</strong> liv<strong>in</strong>g <strong>in</strong> the wealthiest<br />
households are three times as likely as their poorest<br />
counterparts (figure 11). 20<br />
Some countries, however, show little difference <strong>in</strong><br />
the use of <strong>in</strong>secticide-treated nets by residence or<br />
household wealth. For example, 2006 data from<br />
Togo show relatively equitable <strong>coverage</strong> between<br />
rural (40 per cent) <strong>and</strong> urban (36 per cent) <strong>children</strong><br />
as well as between <strong>children</strong> liv<strong>in</strong>g <strong>in</strong> the<br />
poorest (41 per cent) <strong>and</strong> richest (35 per cent)<br />
households. Such <strong>coverage</strong> likely resulted from<br />
Togo’s large-scale <strong>in</strong>secticide-treated net distribution,<br />
an <strong>in</strong>tegrated part of its child health campaign,<br />
which targeted all <strong>children</strong> throughout<br />
Figure 11 African <strong>children</strong> liv<strong>in</strong>g <strong>in</strong> rural areas <strong>and</strong><br />
poorest households are less likely to use<br />
<strong>in</strong>secticide-treated nets<br />
Male 8<br />
Female<br />
Urban<br />
Rural<br />
Richest<br />
Fourth<br />
Middle<br />
Second<br />
Poorest<br />
6<br />
7<br />
7<br />
8<br />
9<br />
10<br />
11<br />
the country (see feature on recent successful<br />
malaria <strong>in</strong>terventions <strong>in</strong> sub- Saharan Africa).<br />
Further analyses of data are needed to better<br />
underst<strong>and</strong> how equitable <strong>coverage</strong> was achieved<br />
<strong>in</strong> certa<strong>in</strong> countries so that these lessons can be<br />
applied to other countries with less equitable<br />
<strong>coverage</strong>.<br />
<strong>Malaria</strong> treatment <strong>coverage</strong><br />
Data collected on antimalarial medic<strong>in</strong>e use<br />
refer to all <strong>children</strong> with fever, whether or not the<br />
malaria diagnosis is confirmed, which reflects<br />
World Health Organization treatment recommendations<br />
for <strong>children</strong> liv<strong>in</strong>g <strong>in</strong> malaria-endemic<br />
areas (see Background on malaria). Across sub-<br />
Saharan Africa some 34 per cent of <strong>children</strong> with<br />
fever receive antimalarial medic<strong>in</strong>es. 21 Several<br />
countries have much higher treatment rates, some<br />
have achieved the Roll Back <strong>Malaria</strong> (Abuja) target<br />
of 60 per cent <strong>coverage</strong> by 2005, <strong>and</strong> 11 others<br />
have come close, with more than 50 per cent <strong>coverage</strong>.<br />
However, many <strong>children</strong> <strong>in</strong> these countries<br />
are still us<strong>in</strong>g less effective medic<strong>in</strong>es.<br />
In addition, nearly one child <strong>in</strong> four with fever<br />
(23 per cent) <strong>in</strong> sub- Saharan Africa receives<br />
19<br />
0 5 10 15 20<br />
Percentage of <strong>children</strong><br />
under age five sleep<strong>in</strong>g<br />
under <strong>in</strong>secticide-treated<br />
nets, sub-Saharan Africa,<br />
by gender, residence <strong>and</strong><br />
wealth <strong>in</strong>dex qu<strong>in</strong>tiles,<br />
2003–2006<br />
Source:<br />
UNICEF global malaria<br />
database, based on 24<br />
(gender), 27 (residence)<br />
<strong>and</strong> 23 (wealth) Multiple<br />
Indicator Cluster<br />
Surveys, Demographic<br />
<strong>and</strong> Health Surveys <strong>and</strong><br />
<strong>Malaria</strong> Indicator<br />
Surveys for 2003–2006.<br />
<strong>Progress</strong> <strong>in</strong> the fight aga<strong>in</strong>st malaria<br />
2