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the impact of hiv/aids on the education sector in tanzania

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cases <strong>in</strong> Mbeya Regi<strong>on</strong> (see Figure 2.1 for a graphical representati<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> this). In additi<strong>on</strong> to<br />

host<strong>in</strong>g a large number <str<strong>on</strong>g>of</str<strong>on</strong>g> migrant workers, Mbeya borders both Zambia and Malawi and has<br />

a major railroad runn<strong>in</strong>g through it. All <str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g>se factors c<strong>on</strong>spire to produce a situati<strong>on</strong> where<br />

<str<strong>on</strong>g>the</str<strong>on</strong>g>re is a high degree <str<strong>on</strong>g>of</str<strong>on</strong>g> populati<strong>on</strong> movement, <strong>in</strong> o<str<strong>on</strong>g>the</str<strong>on</strong>g>r words, a situati<strong>on</strong> <strong>in</strong> which HIV can<br />

spread very rapidly. Dar es Salaam also has a large number <str<strong>on</strong>g>of</str<strong>on</strong>g> PLWHA, although s<strong>in</strong>ce it is a<br />

major urban centre, it is expected that prevalence will be higher than average. The lowest<br />

prevalence rates are found <strong>in</strong> Mara and Rukwa. In <str<strong>on</strong>g>the</str<strong>on</strong>g> case <str<strong>on</strong>g>of</str<strong>on</strong>g> Mara, this partly reflects <str<strong>on</strong>g>the</str<strong>on</strong>g><br />

small size <str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> regi<strong>on</strong>. Rukwa is much larger and although it has a low overall prevalence<br />

compared with <str<strong>on</strong>g>the</str<strong>on</strong>g> nati<strong>on</strong>al average, <str<strong>on</strong>g>the</str<strong>on</strong>g> rate <str<strong>on</strong>g>of</str<strong>on</strong>g> <strong>in</strong>crease is higher than even <strong>in</strong> Ir<strong>in</strong>ga. One<br />

possible explanati<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> low number <str<strong>on</strong>g>of</str<strong>on</strong>g> cases is that <str<strong>on</strong>g>the</str<strong>on</strong>g>re are fewer screen<strong>in</strong>g centres <strong>in</strong><br />

Rukwa compared to o<str<strong>on</strong>g>the</str<strong>on</strong>g>r regi<strong>on</strong>s. Therefore, <str<strong>on</strong>g>the</str<strong>on</strong>g> figures may represent a low <strong>in</strong>cidence <str<strong>on</strong>g>of</str<strong>on</strong>g><br />

diagnosis, ra<str<strong>on</strong>g>the</str<strong>on</strong>g>r than low prevalence.<br />

15

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