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Malaria and children: Progress in intervention coverage - Unicef

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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

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