Table 5.
Practices of Healthcare workers towards COVID-19 in Nigeria.
| Variables |
Do you wash your hands after handling your pet or companion animal? |
Do you wear protective clothing when handling a specimen from a person with signs of dry cough, sneezing, and fever? |
Do you wear a mask when leaving home? |
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|---|---|---|---|---|---|---|---|---|---|
| Demographic Characteristics | Yes (%) | No (%) | χ2 (P value) | Yes (%) | No (%) | χ2 (P value) | Yes (%) | No (%) | χ2 (P value) |
| Gender | |||||||||
| Male | 239 (96.0) | 10 (4.0) | 0.002 (0.964) | 233 (93.6) | 16 (6.4) | 4.424 (0.035) | 141 (56.6) | 108 (43.4) | 2.529 (0.116) |
| Female |
93 (95.9) |
4 (4.1) |
84 (88.6) |
13 (13.4) |
64 (66.0) |
33 (34.0) |
|||
| Age group (years) | |||||||||
| 20–29 | 35 (97.2) | 1 (2.8) | 1.369 (0.713) | 31 (86.1) | 5 (13.9) | 6.881 (0.076) | 22 (61.1) | 14 (38.9) | 0.120 (0.989) |
| 30–39 | 205 (95.8) | 9 (4.2) | 193 (90.2) | 21 (9.8) | 126 (61.8) | 88 (41.1) | |||
| 40–49 | 71 (94.7) | 4 (5.3) | 74 (98.7) | 1 (1.3) | 45 (60.0) | 30 (40.0) | |||
| 50–59 |
21 (100) |
0 (0.0) |
19 (90.5) |
2 (9.5) |
12 (57.1) |
9 (42.9) |
|||
| Experience (year) | |||||||||
| 0–5 | 86 (97.7) | 2 (2.3) | 8.538 (0.201) | 79 (89.8) | 9 (10.2) | 5.811 (0.445) | 43 (48.9) | 45 (51.1) | 8.412 (0.209) |
| 6–10 | 140 (96.6) | 5 (3.4) | 131 (90.3) | 14 (9.7) | 94 (64.8) | 51 (35.2) | |||
| 11–15 | 56 (96.6) | 2 (2.4) | 56 (96.6) | 2 (3.4) | 36 (62.1) | 22 (37.9) | |||
| 16–20 | 14 (87.5) | 2 (12.5) | 16 (100) | 0 (0.0) | 7 (43.8) | 9 (56.2) | |||
| 21–25 | 14 (87.5) | 2 (12.5) | 14 (87.5) | 2 (12.5) | 11 (68.8) | 5 (31.2) | |||
| 26–30 | 8 (88.9) | 1 (11.1) | 9 (100) | 0 (0.0) | 6 (66.7) | 3 (33.3) | |||
| 31+ |
14 (100) |
0 (0.0) |
12 (85.7) |
2 (14.3) |
8 (57.1) |
6 (42.9) |
|||
| Health Profession | |||||||||
| Medical doctor | 62 (92.5) | 5 (7.5) | 21.501 (0.001) | 53 (79.1) | 14 (20.9) | 28.753 (0.000) | 39 (58.2) | 28 (41.8) | 14.275 (0.027) |
| Veterinary doctor | 120 (100) | 0 (0.0) | 116 (96.7) | 4 (3.3) | 67 (55.8) | 53 (44.2) | |||
| Public Health | 47 (95.9) | 2 (4.1) | 48 (98.0) | 1 (2.0) | 36 (73.5) | 13 (26.5) | |||
| Nurse | 18 (81.8) | 4 (18.2) | 17 (77.3) | 5 (22.7) | 15 (68.2) | 7 (31.8) | |||
| Pharmacist | 16 (100) | 0 (0.0) | 14 (87.5) | 2 (12.5) | 11 (68.8) | 5 (31.2) | |||
| MLS | 18 (90.0) | 2 (10.0) | 20 (100) | 0 (0.0) | 15 (75.0) | 5 (25.0) | |||
| Others |
51 (98.1) |
1 (1.9) |
49 (94.2) |
3 (5.8) |
22 (42.3) |
30 (57.7) |
|||
| Geopolitical Zone | |||||||||
| North Central | 101 (97.1) | 3 (2.9) | 9.325 (0.097) | 94 (90.4) | 10 (9.6) | 8.711 (0.121) | 51 (49.0) | 53 (51.0) | 21.158 (0.001) |
| Northeast | 109 (96.5) | 4 (3.5) | 108 (95.6) | 5 (4.4) | 66 (58.4) | 47 (41.6) | |||
| Northwest | 30 (100) | 0 (0.0) | 29 (96.7) | 1 (3.3) | 20 (66.7) | 10 (33.3) | |||
| Southeast | 27 (100) | 0 (0.0) | 22 (81.5) | 5 (18.5) | 26 (96.3) | 1 (3.7) | |||
| Southsouth | 34 (91.9) | 3 (8.1) | 34 (91.9) | 3 (8.1) | 20 (54.1) | 17 (45.9) | |||
| Southwest |
31 (88.6) |
4 (11.4) |
30 (85.7) |
5 (14.3) |
22 (62.9) |
13 (37.1) |
|||
| Marital status | |||||||||
| Married | 234 (96.7) | 8 (3.3) | 1.137 (0.286) | 226 (93.4) | 16 (6.6) | 3.284 (0.070) | 145 (59.9) | 97 (40.1) | 0.149 (0.699) |
| Unmarried |
98 (94.2) |
6 (5.8) |
91 (87.5) |
13 (12.5) |
60 (57.7) |
44 (42.3) |
|||
| Religion | |||||||||
| Christianity | 235 (96.3) | 9 (3.7) | 13.546 (0.001) | 225 (92.2) | 19 (7.8) | 4.977 (0.083) | 137 (56.1) | 107 (43.9) | 6.230 (0.044) |
| Islam | 93 (96.9) | 3 (3.1) | 88 (91.7) | 8 (8.3) | 62 (64.6) | 34 (35.4) | |||
| No Religion | 4 (66.7) | 2 (33.3) | 4 (66.7) | 2 (33.3) | 6 (100) | 0 (0.0) | |||
| Total | 332 (96.0) | 14 (4.0) | 317 (91.6) | 26 (8.4) | 205 (59.2) | 141 (40.8) | |||