Respondents’ demographics
A total of 915 respondents (Nigeria – 610 and Egypt – 305) were included in this study. Most respondents were female (62.1 %, n = 568/915), resides in urban area (65.14 %, n = 596/915), never married/single (82.73 %, n = 757/915) and between the ages of 21 – 30 years of age (65.25 %, n = 597/915). Similarly, majority of the respondents have at least a University degree (83.28 %, n = 762/915) and have a scientific background (48.2 %, n = 441/915) (Table 1).
Table 1. Demographics of respondents in the present study (n = 915).
Variables
|
Number of respondents (%)
|
Total
|
|
Country
|
|
Nigeria (n = 610)
|
Egypt (n = 305)
|
915
|
|
Gender
|
Female
|
327 (58 %)
|
241 (42 %)
|
568
|
Male
|
283 (82 %)
|
64 (18 %)
|
347
|
Marital status
|
Never married/single
|
478 (63 %)
|
279 (37 %)
|
757
|
Ever married
|
132 (84 %)
|
26 (16 %)
|
158
|
Age range (years)
|
18 – 20
|
55 (32 %)
|
117 (68 %)
|
172
|
21 – 30
|
427 (72 %)
|
170 (28 %)
|
597
|
31 – 40
|
94 (88 %)
|
13 (12 %)
|
107
|
> 41
|
34 (87 %)
|
5 (13 %)
|
39
|
Education
|
Up to college
|
74 (48 %)
|
79 (52 %)
|
153
|
Bachelors
|
325 (62 %)
|
199 (38 %)
|
524
|
Postgraduate
|
211 (89 %)
|
27 (11 %)
|
238
|
Area of residence
|
Urban
|
408 (68 %)
|
188 (32 %)
|
596
|
Sub-urban
|
172 (74 %)
|
62 (26 %)
|
234
|
Rural
|
30 (35 %)
|
55 (65 %)
|
85
|
Background
|
Medical
|
100 (52 %)
|
92 (48 %)
|
192
|
Scientific
|
252 (57 %)
|
189 (43 %)
|
441
|
Non-Scientific or non-medical
|
258 (91 %)
|
24 (9 %)
|
282
|
|
|
|
|
|
|
|
Sociodemographic data in relation to respondents’ COVID-19 knowledge and adherence to public health guidelines
Satisfactory COVID-19 knowledge was observed in most Egyptians (265, 87 %) compared to Nigerians (246, 40 %). Females (349, 61 %) had satisfactory COVID-19 knowledge compared to male (162, 47 %). Respondents within the age group 18 – 30 years had a better COVID-19 knowledge compared to other age groups. Respondents who had tertiary education (Bachelors – 59 % and postgraduate – 53 %) had more satisfactory knowledge than those with lower educational level. Respondents with medical background (124, 65 %) had more satisfactory knowledge of COVID-19 compared to those with scientific (277, 63 %) and others with non-medical or non-scientific background (110, 39 %). Despite the satisfactory COVID-19 knowledge of respondents, the respondents’ level of adherence to the COVID-19 social and public health guidelines was poor as only (132, 43 %) Egyptians and (242, 40 %) Nigerians had satisfactory scores. This was a similar trend across all socio-demographics (Table 2).
Table 2. Relationship between sociodemographic data and outcome variables
Variables
|
|
Satisfactory (%)
|
Unsatisfactory (%)
|
Knowledge of COVID-19
|
|
Country
|
Nigeria
|
246 (40 %)
|
364 (60 %)
|
Egypt
|
265 (87 %)
|
40 (13 %)
|
Gender
|
Female
|
349 (61 %)
|
219 (39 %)
|
Male
|
162 (47 %)
|
185 (53 %)
|
Marital status
|
Never married/single
|
442 (58 %)
|
315 (42 %)
|
Ever married
|
69 (44 %)
|
89 (56 %)
|
Age range (years)
|
18 – 20
|
113 (66 %)
|
59 (34 %)
|
21 – 30
|
329 (55 %)
|
268 (45 %)
|
31 – 40
|
53 (50 %)
|
54 (50 %)
|
> 41
|
16 (41 %)
|
23 (59 %)
|
Education
|
Up to college
|
74 (48 %)
|
79 (52 %)
|
Bachelors
|
311 (59 %)
|
213 (41 %)
|
Postgraduate
|
126 (53 %)
|
112 (47 %)
|
Residence
|
Urban
|
324 (54 %)
|
272 (46 %)
|
Sub-urban
|
127 (54 %)
|
107 (46 %)
|
Rural
|
60 (71 %)
|
25 (29 %)
|
Background
|
Medical
|
124 (65 %)
|
68 (35 %)
|
Scientific
|
277 (63 %)
|
164 (37 %)
|
Non-Scientific or non-medical
|
110 (39 %)
|
172 (61 %)
|
Adherence to social and public health guidelines
|
Country
|
Nigeria
|
242 (40 %)
|
368 (60 %)
|
Egypt
|
132 (43 %)
|
173 (57 %)
|
Gender
|
Female
|
237 (42 %)
|
331 (58 %)
|
Male
|
137 (39 %)
|
210 (61 %)
|
Marital status
|
Never married/single
|
320 (42 %)
|
437 (58 %)
|
Ever married
|
54 (34 %)
|
104 (66 %)
|
Age range (years)
|
18 – 20
|
71 (41 %)
|
101 (59 %)
|
21 – 30
|
249 (42 %)
|
348 (58 %)
|
31 – 40
|
48 (45 %)
|
59 (55 %)
|
> 41
|
6 (15 %)
|
33 (85 %)
|
Education
|
Up to college
|
58 (38 %)
|
95 (62 %)
|
Bachelors
|
226 (43 %)
|
298 (57 %)
|
Postgraduate
|
90 (38 %)
|
148 (62 %)
|
Residence
|
Urban
|
244 (41 %)
|
352 (59 %)
|
Sub-urban
|
89 (38 %)
|
145 (62 %)
|
Rural
|
41 (48 %)
|
44 (52 %)
|
Background
|
Medical
|
88 (46 %)
|
104 (54 %)
|
Scientific
|
183 (41 %)
|
258 (59 %)
|
Non-Scientific or non-medical
|
103 (37 %)
|
179 (63 %)
|
Knowledge of COVID-19 and adherence to preventive measures among respondents
From a maximum obtainable score of 5, most respondents (n = 511/915, 55.9 %) had satisfactory knowledge of COVID-19. Although majority of the respondents (n = 825/915, 90.2 %) believe the coronavirus is real as a global pandemic, many Nigerians (n = 298/610, 48.9 %) and very few Egyptians (n = 44/305, 14.4 %) think that the coronavirus is a hoax. This might probably be attributed to only very few respondents (n = 321/915, 35.1 %) who knew anyone who has ever been infected with the virus. Most of the respondents (n = 805/915, 88 %) identified that there is no approved drug or vaccine as of now to prevent the novel COVID-19.
From a maximum obtainable score of 11, most respondents (n = 541/915, 59.1 %) had unsatisfactory level of adherence to COVID-19 preventive measures. Even though majority of respondents (73 %) believe that the preventive measures are required to curtail the menace of COVID-19. Although, most respondents (64.4 %) wash their hands with soap and water frequently, only few avoided touching their eyes or mouth with unwashed hands (45.1 %), avoided non-essential travel (36.4 %), go out only for essential reasons (28.2 %), and keep at least 2-meters distance (27.1 %). Likewise, although most respondents (81.6 %) identified that the use of face mask is effective as a preventive measure, only few (57.2 %) use face mask in public.
Most respondents (51 %) do not know the coronavirus symptoms. Meanwhile, (n = 491/805, 53.7 %) identified to have experienced COVID-19 symptom(s) since the outbreak. From those (n = 437) who responded to action taken after COVID-19 symptoms manifestation, majority did nothing (50.34 %), some took drugs or herbs (25.17 %) and others self-isolated or quarantined (6.86 %).
Only few (47.3 %) of the respondents are confident that the media are presenting proper news on the COVID-19 preventive measures. A good number of the respondents believe the role of the following; medical associations (93.3 %), media (86.4 %), religious bodies (83.1 %), peers (77.2 %), government (76.2 %) and social society groups (71.5 %) are helpful in their contribution to promoting knowledge and adherence to COVID-19 preventive measures. Meanwhile only 485 (53 %) respondents rate government’s effort in combatting the pandemic as satisfactory. The coronavirus pandemic had negative effect on respondents’ education, school or job (826, 90.3 %), finance (804, 87.9 %) and social interaction (801, 87.5 %). Very few respondents (341, 37.3 %) are likely to communicate with others on the need for adherence to the COVID-19 preventive measures (Supplementary S1). Respondents’ education, school or job (95 %), followed by social interaction (87 %) and finances (85 %) was the most affected by the COVID-19 pandemic for most Egyptians. Most Nigerians reported a severe effect of the pandemic on their finances (89 %), followed by education, school or job (88 %) and social interaction (88 %).
Influence of Predictors on COVID-19 Knowledge and Adherence to Public Health Measures
Using Chi-square test, the difference in the knowledge of male (61 %) and female respondents (47 %) about COVID-19 (as shown in Table 2) was statistically significant (P<0.05). Meanwhile, there was no significant difference (P = 0.329) in the level of adherence of males (42 %) and females (39 %) as shown in Table 2 to COVID-19 preventive measures. The difference in the knowledge of respondents who are never married or single (58 %) and married (44 %) about COVID-19 was statistically significant (P = 0.034). Meanwhile, there was no significant difference (P = 0.217) in the level of adherence of respondents across marital status to COVID-19 preventive measures. There was also no significant difference (P = 0.076) across educational status in both respondents’ knowledge and level of adherence to COVID-19 preventive measures.
The impact of educational background on knowledge of COVID-19 was explored using One-way between-groups ANOVA. Levene’s test significance value of 0.086 depicts non-violation of the homogeneity of variance assumption. There was a statistically significant difference at the P<0.01 in COVID-19 knowledge scores for the three educational background groups [F (2, 912) = 33.59, P = 0.005]. The Post-hoc comparisons using the Tukey HSD test indicated that the mean score for respondents with medical (mean= 3.74 ± 1.2 SD) and scientific background (mean= 3.75 ± 1.05 SD) was significantly different from those with non-medical or non-scientific background (mean= 3.07 ± 1.25 SD); the effect size (0.069), calculated using eta squared depicts a large effect size. As shown in Table 2, respondents with medical or scientific background have satisfactory knowledge of COVID-19 (401/511, 78.47 %) compared to other respondents with non-medical or non-scientific background (110/511, 21.53 %).
The impact of educational background was likewise explored on level of adherence to COVID-19 preventive measures. Levene’s test significance value of 0.538 depicts non-violation of the homogeneity of variance assumption. There was a statistically significant difference at the P<0.01 level in adherence level scores for the three educational background groups [F (2, 912) = 7.429, P = 0.000]. The Post-hoc comparisons using the Tukey HSD test indicated that the mean score for respondents with medical (mean= 6.26 ± 2.8 SD) and scientific background (mean= 5.78 ± 2.8 SD) was significantly different from those with non-medical or non-scientific background (mean= 5.25 ± 2.9 SD); the effect size (0.02), calculated using eta squared depicts a small effect size.
The impact of age on adherence to COVID-19 preventive measures was explored. Levene’s test significance value of 0.12 depicts non-violation of the homogeneity of variance assumption. There was a statistically significant difference at the P<0.05 level in adherence to preventive measures scores for the age groups [F (3, 911) = 2.632, P = 0.034]. The Post-hoc comparisons using the Tukey HSD test indicated that the mean score for respondents between 21-30 years (mean= 5.77 ± 2.86 SD) and 31-40 years (mean= 5.88 ± 3.01 SD) was significantly different from 18-20 years (mean= 5.71 ± 2.69 SD) and >41 years (mean= 4.49 ± 2.55 SD); the effect size (0.01), calculated using eta squared depicts a small effect size. Meanwhile, there was no significant difference in the COVID-19 knowledge score across all age groups.
The relationship between knowledge of COVID-19 and adherence to preventive measures was investigated using Pearson product-moment correlation coefficient. There was a moderate positive correlation between the two variables [r=0.251**, N=915, P = 0.01], with high knowledge level of COVID-19 associated with a higher level of adherence to preventive measures.