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. 2024 Dec 15;16(12):7765–7773. doi: 10.62347/PFWG7249

Table 2.

Demographic statistics of HIV-positive blood donors

Sample size of initial reactivity *Positive coincidence rate (%) *Positive proportion (%) χ2 P
Gender 15.709 P < 0.01
    Male 98 23 (23.47) 95.83
    Female 68 1 (1.47) 4.17
Age 10.608 P < 0.05
    18-24 108 9 (8.33) 37.50
    25-34 23 6 (26.09) 25.00
    35-44 20 4 (20.00) 16.67
    45-55 15 5 (33.33) 20.83
    56-60 0 0 0.00
Educational background P < 0.01
    Graduate student 5 0 (0.00) 0.00
    Undergraduate course 66 4 (6.06) 16.67
    Junior college 67 8 (11.94) 33.33
    High school/Technical secondary school 13 4 (30.77) 16.67
    Junior high school and below 15 8 (53.33) 33.33
Occupation P < 0.01
    Worker 3 0 (0.00) 0.00
    Peasant 1 0 (0.00) 0.00
    Student 101 6 (5.94) 25.00
    Civil servant 5 0 (0.00) 0.00
    Teacher 3 0 (0.00) 0.00
    Medical personnel 18 0 (0.00) 0.00
    Company staff 13 1 (7.69) 4.17
    Self-employed 0 0 (0.00) 0.00
    Institution staff 1 0 (0.00) 0.00
    Migrant worker 1 1 (100.00) 4.17
    Unknown 20 16 (80.00) 66.67
Blood donation history 4.756 P < 0.05
    First time 122 22 (18.03) 91.67
    Repeat 44 2 (4.55) 8.33
*

The positive composite rate is the ratio of the number of confirmed positive cases in this population to the number of preliminary reactivity samples in this population. The positive proportion was the proportion of confirmed positive cases to the total number of confirmed positive cases (24 cases) in the population.

Fisher exact probability method is adopted HIV, human immunodeficiency virus.