| Literature DB >> 22984330 |
Melese Gezahegn1, Kifle Woldemichael, Ameyu Godesso.
Abstract
BACKGROUND: HIV/AIDS epidemics continue unchecked in African countries at all level of society bearing the heaviest burden of the scourge. Different researches have been done to see the progress of disease from time to time However, information that shows the trend of HIV among the healthy population over a period of time in Ethiopia is very limited.Entities:
Keywords: HIV; blood donors; sero-positivity; trend
Year: 2012 PMID: 22984330 PMCID: PMC3437978
Source DB: PubMed Journal: Ethiop J Health Sci ISSN: 1029-1857
Trend of HIV Sero-positivity among blood donors at JUSH blood bank over four years (2007–2010).
| Year | HIV Sero Status | P-value | |||||
| Positive | Negative | ||||||
| No | % | No | % | No | % | ||
| 2007 | 14 | 1.6 | 840 | 984 | 854 | 100 | x2 =9.99 |
| 2008 | 11 | 1.7 | 633 | 98.3 | 644 | 100 | P=0.019 |
| 2009 | 7 | 0.7 | 1065 | 99.3 | 1072 | 100 | |
| 2010 | 7 | 0.6 | 1211 | 99.4 | 1218 | 100 | |
| Total | 39 | 1.0 | 3749 | 99.0 | 3788 | 100 | |
Overall prevalence of HIV Sero-positivity by different socio-demographic variables
| Socio-demographic variables | HIV Sero Status | P-value | |||
| Positive | Negative | Total | |||
| Sex | Male | 35(1.2) | 2999(98.8) | 3034(100) | 0.129 |
| Female | 4(0.5) | 750(99.5) | 754(100) | ||
| 15–19 yrs | 4(0.8) | 512(99.2) | 516(100) | 0.002 | |
| 20–29 yrs | 15(0.7) | 2188(99.3) | 2203(100) | ||
| 30–39 yrs | 15(2.2) | 682(99.8) | 696(100) | ||
| Age | 40–49 yrs | 4(1.4) | 276(98.6) | 280(100) | |
| 50–59 yrs | 1(1.3) | 78(98.7) | 89(100) | 0.032 | |
| ≥ 60 yrs | 0(0.0) | 13(100) | 13(100) | ||
| Residence | Urban | 20(0.8) | 2424(99.2) | 2444(100) | |
| Rural | 19(1.4) | 1325(98.6) | 1344(100) | 0.082 | |
| Occupation | Gov't employee | 11(1.8) | 589(98.2) | 600(100) | |
| N/G Employee | 0(0.0) | 33(100) | 33(100) | ||
| Student | 9(0.5( | 1720(99.5) | 1729(100) | 0.061 | |
| Farmer | 10(1.3) | 751(98.7) | 761(100) | ||
| Driver& assistant | 2(2.8) | 69(97.2) | 71(100) | ||
| Bar tender | 0(0.0) | 5(100) | 5(100) | ||
| House wife | 0(0.0) | 54(100) | 54(100) | ||
| Daily laborer | 3(2.6) | 111(97.4) | 114(100) | ||
| Unemployed | 4(1.0) | 417(99.0) | 421(100) | ||
| Type of | Volunteer | 5(0.3) | 1469(99.7) | 1474(100) | |
| Replacement | 34(1.5) | 2280(98.5) | 2314(100) | P=0.01 | |
| Total | 39(1.0) | 3749(99.0) | 3788(100) | ||
Figure 1Trend of HIV Sero positivity among blood donors at JUSH blood bank over four years (2007–2010).
Figure 2Trend of HIV Sero-positivity among blood donors at JUSH blood bank over four years (2007–2010) by sex of subjects.
Figure 3Trend of HIV Sero-positivity among blood donors at JUSH blood bank over four years (2007–2010) by the subjects' place of residence.
Figure 4Trend of HIV Sero positivity among blood donors at JUSH blood bank over four years (2007–2010) by the type of the donation.