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Table 1 Sample and COVID-19 testing characteristics of adults in nine low-and middle-income countries, 2020, 2021

From: Using Andersen’s model of health care utilization to assess factors associated with COVID-19 testing among adults in nine low-and middle-income countries: an online survey

Variable

Sample

COVID-19 testing/infection status

Not tested/no results

Negative

Positive

N (%)

N (%)

N (%)

N (%)

All

10,183

6078 (59.7)

3362 (33.0)

743 (7.3)

Predisposing factors

 Country

  Brazil

6470 (63.5)

3283 (50.7)

2526 (39.0)

61 (10.2)

  Malaysia

1738 (17.1)

1246 (71.7)

473 (27.2)

19 (1.1)

  Thailand

1124 (11.0)

1017 (90.5)

104 (9.3)

3 (0.3)

  Bangladesh

230 (2.3)

133 (57.8)

60 (26.1)

37 (16.1)

  5 African countries

621 (6.1)

399 (64.3)

199 (32.0)

23 (3.7)a

 Age in years

  18–39

4041 (39.7)

2397 (59.3)

1343 (33.2)

301 (7.4)

  40–59

4081 (40.1)

2367 (58.0)

1408 (34.5)

306 (7.5)

  60 or more

2061 (20.2)

1314 (63.8)

611 (29.6)

136 (6.6)

 Sex

  Male

3579 (35.1)

2164 (60.5)

1178 (32.9)

237 (6.6)

  Female

6604 (64.9)

3914 (59.3)

2184 (33.1)

506 (7.7)

 Living status

  Lives alone

932 (9.2)

528 (56.7)

329 (35.3)

75 (8.0)

  Lives with other people

9251 (90.8)

5550 (60.0)

3033 (32.8)

668 (7.2)

 Education

  Primary/secondary

1316 (13.0)

838 (67.7)

315 (25.4)

85 (6.9)

  Undergraduate

4028 (39.5)

2612 (64.8)

1163 (28.9)

253 (6.3)

  Postgraduate

4839 (47.5)

2567 (53.0)

1873 (38.7)

399 (8.2)

Preventive measures

  Not social distancing

3378 (33.2)

1910 (56.5)

1124 (33.3)

344 (10.2)

  Not wearing face mask

413 (4.1)

231 (55.9)

136 (32.9)

46 (11.1)

  No hand hygiene

1154 (11.3)

680 (58.9)

356 (30.8)

118 (10.2)

  No coughing hygiene

3372 (33.1)

1986 (58.9)

1112 (33.0)

274 (8.1)

  Not all four measures

4872 (47.8)

2879 (47.4)

1570 (46.7)

423 (56.9)

Enabling/disabling factors

 Residence

  Rural

812 (8.0)

654 (80.5)

145 (17.9)

13 (1.6)

  Suburban/urban slum

1185 (11.6)

776 (65.5)

334 (28.2)

75 (6.3)

  Urban

8186 (80.4)

4648 (56.8)

2883 (35.2)

655 (8.0)

 Income

  Low/lower middle

5298 (52.0)

3522 (66.5)

1450 (27.4)

326 (6.2)

  Upper middle/high

4885 (48.0)

2556 (52.3)

1912 (39.1)

417 (8.5)

  Student/worker in healthcare

3500 (34.4)

1780 (50.9)

1414 (40.4)

306 (8.7)

 Most trusted source of COVID-19 information/advice

  Other

3905 (38.3)

2444 (62.6)

1217 (31.2)

244 (6.2)

  Health care personnel

6278 (61.7)

3634 (57.9)

2145 (34.2)

499 (7.9)

  COVID-19 correct knowledge

5145 (51.5)

2885 (55.0)

1932 (36.8)

428 (8.2)

 Psychological distress

  None

4774 (46.9)

3057 (64.0)

1442 (30.2)

275 (5.8)

  Mild

3528 (34.6)

2010 (57.0)

1244 (35.3)

274 (7.8)

  Moderate

1152 (11.3)

618 (53.6)

418 (36.3)

116 (10.1)

  Severe

729 (7.2)

393 (53.9)

258 (35.4)

78 (10.7)

Need for care factors

 Worry/fear about being (re) infected with COVID-19 (very or extremely)

5160 (51.7)

3074 (58.4)

1818 (34.6)

368 (7.0)

 Has been quarantined during COVID-19 epidemic

3889 (38.2)

1576 (40.4)

1656 (42.6)

657 (16.9)

 Chronic condition(s) total

2974 (29.2)

1683 (56.6)

1072 (36.0)

219 (7.4)

  Heart disease

419 (4.1)

248 (59.2)

144 (34.4)

27 (6.4)

  Hypertension

1825 (17.9)

1053 (57.7)

648 (35.6)

123 (6.7)

  Diabetes

694 (6.8)

425 (61.2)

219 (31.6)

50 (7.2)

  Cancer

157 (1.5)

80 (51.0)

64 (40.8)

13 (8.3)

  HIV

56 (0.5)

26 (46.4)

25 (44.6)

5 (8.9)

  Tuberculosis

14 (0.1)

6 (42.9)

5 (35.7)

3 (21.4)

  Asthma

730 (7.2)

375 (51.4)

295 (40.4)

60 (8.2)

  1. aRanging from 2.5% in Benin and Malawi to 7.3% in Mali