Table 1 Demographic information for the 3737 participants whose data is included in our analysis (as per Fig. 3).

From: COVID-19 screening in low resource settings using artificial intelligence for chest radiographs and point-of-care blood tests

 

TB TRIAGE +

MistraL

Total

Included

1301 (100%)

2436 (100%)

3737 (100%)

Gender

 Female

595 (45.7%)

1475 (60.6%)

2070 (55.4%)

 Male

705 (54.2%)

961 (39.4%)

1666 (44.6%)

 Ambiguous/Intersex

1 (0.0%)

0 (0.0%)

1 (0.0%)

Age, median (IQR)

46 (33–57)

44 (31–61)

45 (32–60)

BMI, median (IQR)

22 (19–27)

24 (21–29)

24 (20–28)

Illness Severity (Self Reporting)

 Mild / Moderate

1208 (93%)

1772 (77%)

2980 (82.8%)

 Severe

91 (7%)

529 (23%)

620 (17.2%)

Severe Illness (Health Professional Opinion)

 Yes

11 (0.8%)

37 (1.6%)

48 (1.3%)

 No

1290 (99.2%)

2264 (98.4%)

3554 (98.7%)

Symptoms

 Cough

109 (8.4%)

852 (39.4%)

961 (27.8%)

 Fever

1007 (77.4%)

2016 (99.6%)

3023 (90.9%)

 Fatigue

796 (61.2%)

1794 (78.1%)

2590 (72.0%)

 Muscle Pain

1120 (86.1%)

2096 (91.2%)

3216 (89.4%)

 Loss sense of smell

1180 (90.7%)

1853 (92.2%)

3033 (91.6%)

 Other symptoms

1252 (96.2%)

2271 (98.9%)

3523 (97.9%)

HIV status

 Negative

653 (50.2%)

1377 (56.5%)

2030 (54.3%)

 Positive

628 (48.3%)

540 (22.2%)

1168 (31.3%)

 Refused testing

20 (1.5%)

12 (0.5%)

32 (0.9%)

 Unknown

0 (0.0%)

507 (20.8%)

507 (13.6%)