Research Article
The Use of Screening Algorithm to Defer Blood Donors with Subclinical Malaria
Table 1
Demographic characteristics of P. falciparum infected blood donors recruited from each study district.
| | | Ada East District | Ashaiman Municipal District | Accra Metro | Ga South Municipal District | Ga West Municipal District | | Infected (n = 24) | Noninfected (n = 96) | Infected (n = 14) | Noninfected (n = 56) | Infected (n = 6) | Noninfected (n = 24) | Infected (n = 27) | Noninfected (n = 108) | Infected (n = 20) | Noninfected (n = 80) |
| | Age years (mean ± SD) | 25.7 ± 6.3 | 33.7 ± 6.9 | 23.0 ± 4.1 | 35.0 ± 5.9 | 25.8 ± 5.7 | 29.8 ± 8.3 | 25.9 ± 3.9 | 32.1 ± 6.8 | 27.2 ± 5.0 | 31.1 ± 6.9 | | Gender | | Male n (%) | 19 (79.2) | 77 (80.2) | 11 (78.6) | 49 (87.5) | 6 (100) | 21 (87.5) | 20 (74.1) | 85 (78.7) | 16 (80.0) | 64 (80.0) | | Female n (%) | 5 (20.8) | 19 (19.8) | 3 (21.4) | 7 (12.5) | 0 (0.0) | 3 (12.5) | 7 (25.9) | 23 (21.3) | 4 (20.0) | 16 (20.0) | | Residential status | | Rural n (%) | 13 (54.2) | 8 (8.3) | 5 (35.7) | 0 (0.0) | 3 (50.0) | 0 (0.0) | 14 (51.9) | 11 (10.2) | 13 (65.0) | 6 (7.5) | | Periurban n (%) | 7 (29.2) | 22 (22.9) | 6 (42.9) | 18 (32.1) | 2 (33.3) | 14 (58.3) | 9 (33.3) | 41 (37.9) | 4 (20.0) | 33 (41.3) | | Urban n (%) | 4 (16.7) | 66 (68.8) | 3 (21.4) | 38 (67.9) | 1 (16.7) | 10 (41.7) | 4 (14.8) | 56 (51.9) | 3 (15.0) | 41 (51.3) | | Marital status | | Single n (%) | 7 (29.2) | 31 (32.3) | 8 (57.1) | 24 (42.8) | 4 (66.7) | 10 (41.7) | 5 (18.5) | 56 (51.9) | 6 (30.0) | 34 (42.5) | | Married n (%) | 11 (45.8) | 52 (54.2) | 4 (28.6) | 26 (46.4) | 2 (33.3) | 7 (29.2) | 13 (48.1) | 38 (35.2) | 11 (55.0) | 37 (46.3) | | Divorced n (%) | 4 (16.7) | 7 (7.3) | 1 (7.1) | 4 (7.1) | 0 (0.0) | 4 (16.7) | 6 (22.2) | 8 (7.4) | 2 (10.0) | 4 (5.0) | | Widow/widower n (%) | 2 (8.3) | 6 (6.3) | 1 (7.1) | 2 (3.6) | 0 (0.0) | 3 (12.5) | 3 (11.1) | 6 (5.6) | 1 (5.0) | 5 (6.3) | | Education level | | No formal education n (%) | 7 (29.2) | 8 (8.3) | 2 (14.2) | 0 (0.0) | 2 (33.3) | 1 (4.2) | 3 (11.1) | 10 (9.3) | 2 (10.0) | 3 (3.8) | | Primary education n (%) | 2 (8.3) | 9 (9.4) | 3 (21.4) | 0 (0.0) | 0 (0.0) | 1 (4.2) | 5 (18.5) | 9 (8.3) | 7 (35.0) | 7 (8.8) | | Junior high school n (%) | 6 (25.0) | 17 (17.7) | 3 (21.4) | 13 (23.2) | 2 (33.3) | 2 (8.3) | 4 (14.8) | 16 (14.8) | 4 (20.0) | 19 (23.8) | | Senior high school n (%) | 3 (12.5) | 24 (25.0) | 1 (7.1) | 18 (32.1) | 1 (16.7) | 3 (12.5) | 5 (18.5) | 20 (18.5) | 3 (15.0) | 31 (38.8) | | Tertiary n (%) | 6 (25.0) | 38 (39.6) | 5 (35.7) | 25 (44.6) | 1 (16.7) | 17 (70.8) | 10 (37.0) | 53 (47.1) | 4 (20.0) | 20 (25.0) | | Occupation | | Unemployed n (%) | 3 (12.5) | 7 (7.3) | 3 (21.4) | 0 (0.0) | 2 (33.3) | 2 (8.3) | 3 (11.1) | 5 (4.6) | 3 (15.0) | 2 (2.5) | | Students n (%) | 3 (12.5) | 6 (6.3) | 0 (0.0) | 0 (0.0) | 1 (16.7) | 1 (4.2) | 4 (14.8) | 3 (2.8) | 2 (10.0) | 2 (2.5) | | Government workers n (%) | 5 (20.8) | 29 (30.2) | 2 (14.2) | 11 (19.6) | 0 (0.0) | 5 (20.8) | 6 (22.2) | 41 (37.9) | 3 (15.0) | 13 (16.3) | | Petty trading n (%) | 8 (33.3) | 25 (26.0) | 6 (42.9) | 18 (32.1) | 2 (33.3) | 9 (37.5) | 9 (33.3) | 40 (37.0) | 7 (35.0) | 30 (37.5) | | Private sector workers n (%) | 5 (20.8) | 29 (30.2) | 3 (21.4) | 27 (48.2) | 1 (16.7) | 7 (29.2) | 5 (18.5) | 19 (17.6) | 5 (25.0) | 33 (41.3) | | Average monthly income | | 0–500 (0–100) n (%) | 6 (25.0) | 13 (13.5) | 5 (35.7) | 9 (16.1) | 1 (16.7) | 0 (0.0) | 6 (22.2) | 24 (22.2) | 7 (35.0) | 20 (25.0) | | 501–1000 (100.2–200) n (%) | 4 (16.7) | 19 (19.8) | 2 (14.2) | 17 (30.3) | 2 (33.3) | 9 (37.5) | 5 (18.5) | 40 (37.0) | 4 (20.0) | 18 (22.5) | | 1001–2000 (200.2–400) n (%) | 6 (25.0) | 12 (12.5) | 3 (21.4) | 15 (26.8) | 0 (0.0) | 5 (20.8) | 8 (29.6) | 16 (14.8) | 4 (20.0) | 22 (27.5) | | >2000 (>400) n (%) | 2 (8.3) | 39 (40.6) | 1 (7.1) | 15 (26.8) | 0 (0.0) | 7 (29.2) | 1 (3.7) | 20 (18.5) | 0 (0.0) | 16 (20.0) |
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Average monthly income: Ghana cedi (Gh¢) (US dollar) ($∗) based on 2018 exchange rate of 1 US$: 5 Ghana cedis.
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