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

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

hivaidsclearinghouse.unesco.org
from hivaidsclearinghouse.unesco.org More from this publisher
10.02.2013 Views

Table 2.3 Distribution ong>ofong> reported AIDS cases by age and sex, Tanzania 2001 Age group 18 Male Female Unknown Total No. % No. % No. % No. % 0-4 198 3.2 186 2.4 4 10.0 388 2.7 5-9 116 1.9 101 1.3 6 15.0 223 1.6 10-14 66 1.1 91 1.2 0 0.0 157 1.1 15-19 139 2.2 418 5.4 1 2.5 558 4.0 20-24 479 7.7 1,095 14.0 8 20.0 1,582 11.2 25-29 894 14.3 1,656 21.2 2 5.0 2,552 18.1 30-34 1,247 19.9 1,710 21.9 6 15.0 2,963 21.0 35-39 1,131 18.1 1,135 14.5 4 10.0 2,270 16.1 40-44 809 12.9 662 8.5 3 7.5 1,474 10.4 45-49 479 7.7 346 4.4 2 5.0 827 5.9 50-54 306 4.9 191 2.4 4 10.0 501 3.6 55-59 157 2.5 91 1.2 0 0.0 248 1.8 60-64 123 2.0 59 0.8 0 0.0 182 1.3 65+ 85 1.4 22 0.3 0 0.0 107 0.8 Unknown 32 0.5 48 0.6 0 0.0 80 0.6 Total 6,261 100.0 1 7,811 100.0 40 100.0 14,112 100.0 Source: Tanzania MoH, 2001 However, ong>theong>re are signs ong>ofong> hope that this devastating epidemic can be brought under control. In countries such as Uganda and South Africa ong>theong> situation does seem to be improving. In several regions ong>ofong> Uganda, ong>theong> number ong>ofong> HIV infections appears to be on ong>theong> decline: ong>theong>re is a steady drop in HIV prevalence among 15-19 year-old pregnant women (Rugalema and Khanye, 2002). In South Africa HIV prevalence rates among pregnant women under 20 fell from 21 per cent in 1998 to 15.4 per cent in 2001, although overall growth rates are still increasing. In Tanzania ong>theong> challenge is how to sustain ong>theong> low prevalence rates ong>ofong> some regions, whilst decreasing ong>theong> current high prevalence rates in oong>theong>rs (e.g. Mbeya, Dar es Salaam and Kilimanjaro). NACP documents indicate that ong>theong> pattern ong>ofong> infection is also changing, as a result ong>ofong> greater coverage in Voluntary Counselling and Testing (VCT), coupled with ong>theong> increased use ong>ofong> antiretroviral (ARV) ong>theong>rapy and higher levels ong>ofong> condom use. 1 If ong>theong> percentages given here are added up, ong>theong> total percentage comes to 100.3. However, this is because ong>theong> figures have been rounded to 1 d.p., raong>theong>r than because ong>ofong> any inaccuracy in ong>theong> statistics. For this reason, all ong>ofong> ong>theong> total percentages have been given as 100.0.

2.3 The HIV/AIDS situation in ong>theong> education sector In ong>theong> education sector ong>theong> prevalence ong>ofong> HIV and ong>theong> ong>impactong> ong>ofong> AIDS are measured through a combination ong>ofong> indicators, ranging from trends in ong>theong> morbidity and mortality ong>ofong> teachers, to ong>theong> proportion ong>ofong> orphans in enrolments. However, record keeping is poor and ong>theong> data needed to measure ong>theong> indicators are lacking. For example, although ong>theong>re are indications that AIDS may have become ong>theong> greatest cause ong>ofong> death among adults in mainland Tanzania, empirical data are not yet conclusive about this issue. Estimations ong>ofong> AIDS-related mortality rates can only be proximate: symptoms that point to AIDS or HIV infection, for example long-term illness and wasting, are also indicative ong>ofong> many oong>theong>r diseases (Bicego, Curtis, Raggers, Kapiga and Ngallaba, 1997). The education sector, which is one ong>ofong> ong>theong> largest employers in Tanzania, faces particular problems for two basic reasons: � Schools and educational institutions enrol young people in ong>theong> 7-24 age group, from basic education through to tertiary level. Epidemiological reports show that ong>theong> 15-24 age group is highly vulnerable to HIV (Tanzania MoH, 2001). Data from oong>theong>r research findings corroborates this, showing that both girls and boys in primary and secondary schools are sexually active. A knowledge, attitudes and practices baseline survey conducted by ong>theong> German Agency for Technical Cooperation (GTZ) Reproductive Health Project amongst 1,560 primary school pupils in Lindi Region indicated that 45 per cent ong>ofong> pupils were sexually active. The mean age for first sexual intercourse was 11.2 years for boys and 14 years for girls (Tautz, 2001). � If ignored, ong>theong> high rate ong>ofong> disease and death among teachers and oong>theong>r trained prong>ofong>essionals will make replacements increasingly hard to find and train. Moreover, ong>theong> death ong>ofong> just one teacher deprives a whole class ong>ofong> children ong>ofong> education. Therefore, it erodes access to education and interferes with ong>theong> functioning capacity ong>ofong> key institutions. 2.3.1 Cultural practices that increase ong>theong> risk ong>ofong> HIV infection There are a number ong>ofong> cultural practices that can increase ong>theong> risk ong>ofong> infection among ong>theong> wider community and that also affect education sector staff, students and pupils. These include: � casual sexual intercourse during tribal festivals and social gaong>theong>rings; � sexual intercourse to remove curses and taboos; � sex with minors for ong>theong> purpose ong>ofong> curing disease; � wife inheritance, and � acceptance ong>ofong> sexual intercourse with in-laws. In addition to ong>theong>se practices, certain factors may put teachers at special risk ong>ofong> contracting HIV, particularly in rural areas. Here, poverty levels are high but teachers are perceived as well to do and have high social status in ong>theong>ir teaching environment. Receipt ong>ofong> a regular cash income also gives ong>theong>m resources to buy sexual favours in an environment with little liquidity for most ong>ofong> ong>theong> year. Consequently, some interviewees and participants in ong>theong> discussion groups felt that education sector leaders and teachers lack ong>theong> moral authority to advocate for HIV/AIDS prevention, because ong>ofong> ong>theong>ir own high-risk behaviour. 19

Table 2.3 Distributi<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> reported AIDS cases by age and sex, Tanzania<br />

2001<br />

Age<br />

group<br />

18<br />

Male Female Unknown Total<br />

No. % No. % No. % No. %<br />

0-4 198 3.2 186 2.4 4 10.0 388 2.7<br />

5-9 116 1.9 101 1.3 6 15.0 223 1.6<br />

10-14 66 1.1 91 1.2 0 0.0 157 1.1<br />

15-19 139 2.2 418 5.4 1 2.5 558 4.0<br />

20-24 479 7.7 1,095 14.0 8 20.0 1,582 11.2<br />

25-29 894 14.3 1,656 21.2 2 5.0 2,552 18.1<br />

30-34 1,247 19.9 1,710 21.9 6 15.0 2,963 21.0<br />

35-39 1,131 18.1 1,135 14.5 4 10.0 2,270 16.1<br />

40-44 809 12.9 662 8.5 3 7.5 1,474 10.4<br />

45-49 479 7.7 346 4.4 2 5.0 827 5.9<br />

50-54 306 4.9 191 2.4 4 10.0 501 3.6<br />

55-59 157 2.5 91 1.2 0 0.0 248 1.8<br />

60-64 123 2.0 59 0.8 0 0.0 182 1.3<br />

65+ 85 1.4 22 0.3 0 0.0 107 0.8<br />

Unknown 32 0.5 48 0.6 0 0.0 80 0.6<br />

Total 6,261 100.0 1 7,811 100.0 40 100.0 14,112 100.0<br />

Source: Tanzania MoH, 2001<br />

However, <str<strong>on</strong>g>the</str<strong>on</strong>g>re are signs <str<strong>on</strong>g>of</str<strong>on</strong>g> hope that this devastat<strong>in</strong>g epidemic can be brought under<br />

c<strong>on</strong>trol. In countries such as Uganda and South Africa <str<strong>on</strong>g>the</str<strong>on</strong>g> situati<strong>on</strong> does seem to be<br />

improv<strong>in</strong>g. In several regi<strong>on</strong>s <str<strong>on</strong>g>of</str<strong>on</strong>g> Uganda, <str<strong>on</strong>g>the</str<strong>on</strong>g> number <str<strong>on</strong>g>of</str<strong>on</strong>g> HIV <strong>in</strong>fecti<strong>on</strong>s appears to be <strong>on</strong> <str<strong>on</strong>g>the</str<strong>on</strong>g><br />

decl<strong>in</strong>e: <str<strong>on</strong>g>the</str<strong>on</strong>g>re is a steady drop <strong>in</strong> HIV prevalence am<strong>on</strong>g 15-19 year-old pregnant women<br />

(Rugalema and Khanye, 2002). In South Africa HIV prevalence rates am<strong>on</strong>g pregnant women<br />

under 20 fell from 21 per cent <strong>in</strong> 1998 to 15.4 per cent <strong>in</strong> 2001, although overall growth rates<br />

are still <strong>in</strong>creas<strong>in</strong>g. In Tanzania <str<strong>on</strong>g>the</str<strong>on</strong>g> challenge is how to susta<strong>in</strong> <str<strong>on</strong>g>the</str<strong>on</strong>g> low prevalence rates <str<strong>on</strong>g>of</str<strong>on</strong>g><br />

some regi<strong>on</strong>s, whilst decreas<strong>in</strong>g <str<strong>on</strong>g>the</str<strong>on</strong>g> current high prevalence rates <strong>in</strong> o<str<strong>on</strong>g>the</str<strong>on</strong>g>rs (e.g. Mbeya, Dar<br />

es Salaam and Kilimanjaro). NACP documents <strong>in</strong>dicate that <str<strong>on</strong>g>the</str<strong>on</strong>g> pattern <str<strong>on</strong>g>of</str<strong>on</strong>g> <strong>in</strong>fecti<strong>on</strong> is also<br />

chang<strong>in</strong>g, as a result <str<strong>on</strong>g>of</str<strong>on</strong>g> greater coverage <strong>in</strong> Voluntary Counsell<strong>in</strong>g and Test<strong>in</strong>g (VCT),<br />

coupled with <str<strong>on</strong>g>the</str<strong>on</strong>g> <strong>in</strong>creased use <str<strong>on</strong>g>of</str<strong>on</strong>g> antiretroviral (ARV) <str<strong>on</strong>g>the</str<strong>on</strong>g>rapy and higher levels <str<strong>on</strong>g>of</str<strong>on</strong>g> c<strong>on</strong>dom<br />

use.<br />

1 If <str<strong>on</strong>g>the</str<strong>on</strong>g> percentages given here are added up, <str<strong>on</strong>g>the</str<strong>on</strong>g> total percentage comes to 100.3. However, this is because <str<strong>on</strong>g>the</str<strong>on</strong>g><br />

figures have been rounded to 1 d.p., ra<str<strong>on</strong>g>the</str<strong>on</strong>g>r than because <str<strong>on</strong>g>of</str<strong>on</strong>g> any <strong>in</strong>accuracy <strong>in</strong> <str<strong>on</strong>g>the</str<strong>on</strong>g> statistics. For this reas<strong>on</strong>, all <str<strong>on</strong>g>of</str<strong>on</strong>g><br />

<str<strong>on</strong>g>the</str<strong>on</strong>g> total percentages have been given as 100.0.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!