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Poverty and Human Development Report 2009 - UNDP in Tanzania

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Figure 26: HIV Prevalence by Age Group <strong>and</strong> Gender, 2007/08<br />

% HIV-positive<br />

12<br />

10<br />

8<br />

6<br />

4<br />

2<br />

0<br />

1.3<br />

15-19<br />

years<br />

0.7<br />

6.3<br />

Source: THMIS 2007/08<br />

20-24<br />

years<br />

1.7<br />

7.9<br />

25-29<br />

years<br />

5.0<br />

10.4<br />

30-34<br />

years<br />

7.4<br />

Age group<br />

9.5<br />

35-39<br />

years<br />

10.6<br />

6.7<br />

40-44<br />

years<br />

7.6<br />

45-49<br />

years<br />

6.8<br />

6.1<br />

CLUSTER II- GOAL 2<br />

Men<br />

Women<br />

Whether recent trends <strong>in</strong> HIV prevalence reflect behaviour modification is open to question.<br />

Self-reported measures of sexual behaviour are notoriously unreliable. Moreover, the changes<br />

<strong>in</strong> self-reported sexual behaviour (age at sexual debut, condom use, multiple partners, higherrisk<br />

sex) between 2003 <strong>and</strong> 2007 are only very slight (follow<strong>in</strong>g larger changes between<br />

1999 <strong>and</strong> 2003).<br />

Although the survey results are encourag<strong>in</strong>g, HIV prevalence rates across the country cont<strong>in</strong>ue<br />

to exhibit huge disparities – from less than 3% <strong>in</strong> five regions, to 9% <strong>in</strong> Dar es Salaam <strong>and</strong> 15%<br />

<strong>in</strong> Ir<strong>in</strong>ga (Figure 27). Moreover, some previously high-prevalence regions (e.g., Mbeya) have seen<br />

a reduction <strong>in</strong> prevalence, while others (e.g., Ir<strong>in</strong>ga) exhibit an <strong>in</strong>crease. The factors underly<strong>in</strong>g<br />

these changes <strong>and</strong> the likely trajectory of the epidemic <strong>in</strong> different regions are largely unknown.<br />

This is a priority question dem<strong>and</strong><strong>in</strong>g further research. As one study contends, the rural epidemic<br />

has lagged beh<strong>in</strong>d the urban epidemic, <strong>and</strong> suggests that recent changes <strong>in</strong> HIV prevalence by<br />

region are associated with chang<strong>in</strong>g urban/rural population proportions <strong>in</strong> these regions (AIDS<br />

Strategy <strong>and</strong> Action Plans (ASAP) <strong>and</strong> UNAIDS, 2008).<br />

65

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