| Literature DB >> 32726340 |
Elnadi Hager1, Ismail A Odetokun2, Obasanjo Bolarinwa3, Ahmed Zainab4, Ochulor Okechukwu5, Ahmad I Al-Mustapha6,7,8.
Abstract
The current Coronavirus (COVID-19) pandemic has impacted and changed lives on a global scale since its emergence and spread from China in late 2019. It has caused millions of infections, and thousands of deaths worldwide. However, the control of this pandemic still remains unachievable in many African countries including Egypt and Nigeria, despite the application of some strict preventive and control measures. Therefore, this study assessed the knowledge, attitude, and perceptions of Egyptians and Nigerians towards the COVID-19 pandemic. This study was designed as a cross-sectional community-based questionnaire survey in both countries. Participants' demography, knowledge, attitude, and perceptions towards the COVID-19 outbreak were obtained using a convenience sampling technique. Data collected were subjected to descriptive statistics and logistic regression analysis. A total of 1437 respondents were included in this preliminary report. The mean knowledge score was 14.7±2.3. The majority of the respondents (61.6%) had a satisfactory knowledge of the disease. Age (18-39 years), education (College/bachelors), and background of respondents were factors influencing knowledge levels. The attitude of most respondents (68.9%) towards instituted preventive measures was satisfactory with an average attitude score of 6.9 ± 1.2. The majority of the respondents (96%) practiced self-isolation and social-distancing but only 36% follow all health recommendations. The perception of most respondents (62.1%) on the global efforts at controlling the virus and preventing further spread was satisfactory with an average score of 10.9 ± 2.7. Only 22% of the respondents were satisfied with their country's handling of the pandemic. An apprehensive understanding of the current status in Africa through studies like KAP is crucial to avoid Africa being the next epicenter of the pandemic. For the populace to follow standard infection prevention and control measures adequately, governments need to gain the trust of citizens by strengthening the health systems and improving surveillance activities in detecting cases, to offer the optimum health services to their communities.Entities:
Mesh:
Year: 2020 PMID: 32726340 PMCID: PMC7390376 DOI: 10.1371/journal.pone.0236918
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Description of scores obtained by respondents (n = 1437).
| Outcome variables | Maximum obtainable scores | Scores received by respondents | Mean ± SD | Satisfactory n (%) | Unsatisfactory n (%) | |
|---|---|---|---|---|---|---|
| Minimum score | Maximum score | |||||
| Knowledge | 20 | 5 | 18 | 14.7±2.3 | 885 (61.6) | 552 (38.4) |
| Attitude | 9 | 2 | 9 | 6.9 ± 1.2 | 990 (68.9) | 447 (31.1) |
| Perception | 17 | 1 | 16 | 10.9 ± 2.7 | 892 (62.1) | 545 (37.9) |
Cut-off marks—mean scores i.e. Knowledge—14.7, Attitude—6.9 and Perception—10.9; Satisfactory scores—scores > mean score obtained by respondents; SD—standard deviation.
Demographics of respondents from Nigeria and Egypt used in this preliminary study (n = 1437).
| Variable | Number of respondents (%) |
|---|---|
| Age (years) | |
| 18–29 | 706 (49.1) |
| 30–39 | 491 (34.2) |
| 40–49 | 168 (11.7) |
| 50–59 | 51 (3.5) |
| >59 | 21 (1.5) |
| Gender | |
| Male | 754 (52.5) |
| Female | 677 (47.1) |
| Prefer not to say | 6 (0.4)) |
| Education | |
| No formal education | 2 (0.1) |
| High School | 60 (4.2) |
| College (Bachelor) | 897 (62.4) |
| Masters | 323 (22.5) |
| Ph.D. | 91 (6.3) |
| Others | 64 (4.5) |
| Background | |
| Non-Scientific/Non-Medical | 585 (40.7) |
| Scientific/Medical | 852 (59.3) |
| Nationality | |
| Nigeria | 1132 (78.8) |
| Egypt | 305 (21.2) |
%—percentage.
Analysis of demographic characteristics as factors influencing the knowledge levels of respondents from Nigeria and Egypt towards the COVID-19 pandemic.
| Variables | Satisfactory (%) | Unsatisfactory (%) | P-value (χ2) | OR | 95% CI | P-value | |
|---|---|---|---|---|---|---|---|
| Age (years) | |||||||
| 18–29 | 406 (45.87) | 300 (54.34) | 0.021 | 1.00 | - | - | |
| 30–39 | 324 (36.61) | 167 (30.25) | 0.69 | 0.55–0.89 | 0.004 | ||
| 40–49 | 107 (12.09) | 61 (11.05) | 0.77 | 0.54–1.09 | 0.168 | ||
| 50–59 | 33 (3.72) | 18 (3.26) | 0.74 | 0.41–1.34 | 0.392 | ||
| >59 | 15 (1.69) | 6 (1.08) | 0.46 | 0.16–1.26 | 0.178 | ||
| Gender | |||||||
| Male | 445 (50.29) | 309 (55.97) | 0.032 | 1 | - | - | |
| Female | 438 (49.49) | 239 (42.90) | 0.79 | 0.63–0.97 | 0.031 | ||
| 2 (0.22) | 4 (0.73) | 2.88 | 0.52–15.82 | 0.390 | |||
| Education | |||||||
| No formal education | 2 (0.22) | 0 (0.00) | 0.028 | 1.00 | - | - | |
| High School | 31 (3.50) | 29 (5.25) | 4.68 | 0.15–144.70 | 0.727 | ||
| College (Bachelor) | 537 (60.67) | 360 (62.51) | 5.04 | 0.17–150.70 | 0.659 | ||
| Masters | 219 (24.74) | 104 (18.84) | 2.37 | 0.08–71.33 | >0.999 | ||
| Ph.D. | 61 (6.89) | 30 (5.43) | 2.46 | 0.08–75.36 | >0.999 | ||
| Others | 35 (3.95) | 29 (5.25) | 4.14 | 0.13–127.90 | 0.796 | ||
| Background | |||||||
| Non—Scientific/ Non–Medical | 330 (37.28) | 255 (46.19) | 0.01 | 1.00 | - | - | |
| Scientific/Medical | 555 (62.72) | 297 (53.81) | 0.69 | 0.56–0.86 | 0.001 | ||
| Nationality | |||||||
| Egypt | 219 (24.74) | 86 (15.57) | 0.01 | 1.00 | - | - | |
| Nigeria | 666 (75.26) | 466 (84.43) | 1.78 | 1.35, 2.35 | <0.001 | ||
χ2—chi-square; DF—degree of freedom; OR—odds ratio; CI: confidence interval; *λ - excluded from the multivariable logistic regression analysis
*—significant at p < 0.05
Analysis of demographic characteristics as factors influencing the attitude of respondents from Nigeria and Egypt towards the COVID-19 pandemic.
| Independent variables | Satisfactory (%) | Unsatisfactory (%) | P-value (χ2) | OR | 95% CI | P-value | |
|---|---|---|---|---|---|---|---|
| Age | |||||||
| 18–29 | 513 (51.81) | 193 (43.17) | 0.002 | 1.00 | - | - | |
| 30–39 | 325 (32.82) | 166 (37.13) | 1.34 | 1.06–1.74 | 0.019 | ||
| 40–49 | 99 (10) | 69 (15.43) | 1.85 | 1.31–2.63 | <0.001 | ||
| 50–59 | 40 (4.04) | 11 (2.46) | 0.73 | 0.37–1.45 | 0.470 | ||
| >59 | 13 (1.31) | 8 (1.78) | 3.48 | 1.66–7.29 | 0.002 | ||
| Gender | |||||||
| Male | 555 (56.06) | 199 (44.52) | <0.001 | 1.00 | - | - | |
| Female | 431 (43.53) | 246 (55.03) | 1.59 | 1.27–1.99 | <0.001 | ||
| 4 (0.40) | 2 (0.45) | - | - | - | |||
| Education | |||||||
| No formal education | 0 (0.00) | 2 (0.44) | 0.045 | 1.00 | - | - | |
| High School | 36 (3.63) | 24 (5.37) | 0.13 | 0.004–4.13 | 0.2504 | ||
| College (Bachelor) | 637 (64.34) | 260 (58.16) | 0.08 | 0.003–2.44 | 0.1186 | ||
| Masters | 219 (22.12) | 104 (23.26) | 0.09 | 0.003–2.85 | 0.1501 | ||
| Ph.D. | 56 (5.65) | 35 (7.82) | 0.13 | 0.004–3.82 | 0.2265 | ||
| Others | 42 (4.24) | 22 (4.92) | 0.10 | 0.003–3.25 | 0.1813 | ||
| Background | |||||||
| Non—Scientific/ Non–Medical | 367 (37.07) | 218 (48.76) | <0.001 | 1.00 | - | - | |
| Scientific/Medical | 623 (62.92) | 229 (51.24) | 0.62 | 0.49–0.78 | <0.001 | ||
| Nationality | |||||||
| Egypt | 86 (8.68) | 219 (48.99) | <0.001 | 1.00 | - | - | |
| Nigeria | 904 (91.32) | 228 (51.11) | 0.09 | 0.07, 0.13 | <0.001 | ||
χ2—chi-square; DF—degree of freedom; OR—odds ratio; CI: confidence interval
*λ - excluded from the multivariable logistic regression analysis
*—significant at p < 0.05
Analysis of demographic characteristics as factors influencing the perceptions of respondents from Nigeria and Egypt towards the COVID-19 pandemic.
| Independent Variables | Satisfactory (%) | Unsatisfactory (%) | P-value (χ2) | OR | 95%CI | P-value | |
|---|---|---|---|---|---|---|---|
| Age | |||||||
| 18–29 | 439 (49.21) | 267 (48.99) | 0.888 | - | - | - | |
| 30–39 | 301 (33.74) | 190 (34.86) | - | - | - | ||
| 40–49 | 104 (11.65) | 64 (11.74) | - | - | - | ||
| 50–59 | 35 (3.92) | 16 (2.93) | - | - | - | ||
| >59 | 13 (1.42) | 8 (1.47) | - | - | - | ||
| Gender | |||||||
| Male | 473 (53.02) | 281 (51.55) | 0.732 | - | - | - | |
| Female | 416 (46.63) | 261 (47.88) | - | - | - | ||
| Prefer not to say | 3 (0.33) | 3 (0.55) | - | - | - | ||
| Education | |||||||
| No formal education | 2 (0.22) | 0 (0.00) | 0.03 | 1.00 | - | - | |
| High School | 26 (2.91) | 34 (6.23) | 6.54 | 0.21–202.40 | 0.54 | ||
| College (Bachelor) | 553 (61.99) | 344 (63.11) | 3.11 | 0.10–92.94 | 0.95 | ||
| Masters | 213 (23.87) | 110 (20.18) | 2.58 | 0.09–77.55 | >0.99 | ||
| Ph.D. | 57 (6.39) | 34 (6.23) | 2.98 | 0.09–91.26 | 0.98 | ||
| Others | 41(4.59) | 23 (4.22) | 2.81 | 0.09–86.84 | >0.99 | ||
| Background | |||||||
| Non—Scientific/ Non—Medical | 334 (37.44) | 251(46.05) | 0.001 | 1.00 | - | - | |
| Scientific/Medical | 558 (62.56) | 294 (53.95) | 0.69 | 0.56–0.87 | 0.001 | ||
| Nationality | |||||||
| Egypt | 165 (18.49) | 140 (25.68) | 0.001 | 1.00 | - | - | |
| Nigeria | 727 (81.51) | 405 (74.32) | 0.66 | 0.51–0.85 | 0.002 | ||
χ2—chi square; DF—degree of freedom; OR—odds ratio; CI: confidence interval
*—significant at p < 0.05