| Literature DB >> 32724659 |
Ruwidah Bonyan1, Aseel Fuad Al-Karasneh2, Faris El-Dahiyat3, Ammar Abdulrahman Jairoun4.
Abstract
BACKGROUND: The novel coronavirus disease 2019 (COVID-19) pandemic is a global challenge. Improving public awareness about preventive measures and disseminating appropriate information about COVID-19 has a critical role in containing the disease. AIM: To evaluate and determine the factors that may affect the level of awareness and responses toward COVID-19 in Arab countries. The study could be helpful in identifying where more public education about COVID-19 is needed.Entities:
Keywords: Arab countries; Awareness; COVID-19; Egypt; Factors; Jordan; Kingdom of Saudi Arabia; Palestine; Prevention; Qatar; United Arab Emirates
Year: 2020 PMID: 32724659 PMCID: PMC7360899 DOI: 10.1186/s40545-020-00247-x
Source DB: PubMed Journal: J Pharm Policy Pract ISSN: 2052-3211
Demographic characteristics of study participants
| Demographic | Groups | Frequency | Percentage |
|---|---|---|---|
| Male | 93 | 19.2% | |
| Female | 392 | 80.8% | |
| 18–22 | 64 | 13.2% | |
| 23–26 | 67 | 13.8% | |
| 27–30 | 120 | 24.7% | |
| 31-36 | 105 | 21.6% | |
| 37–40 | 39 | 8.0% | |
| ≥ 41 | 90 | 18.6% | |
| Jordan | 164 | 33.8% | |
| Palestine | 21 | 4.3% | |
| Qatar | 56 | 11.5% | |
| UAE | 128 | 26.4% | |
| KSA | 87 | 17.9% | |
| Egypt | 9 | 1.9% | |
| Other | 20 | 4.1% | |
| Yes | 233 | 48.0% | |
| No | 252 | 52.0% | |
| Primary school/elementary | 5 | 1% | |
| Secondary education | 54 | 11.1% | |
| Diploma | 39 | 8.0% | |
| University degree | 293 | 60.4% | |
| Post-graduate degree | 94 | 19.4% | |
| Student | 84 | 17.3% | |
| Unemployed | 132 | 27.2% | |
| Employee in health sector | 111 | 22.9% | |
| Employee in non-health sector | 158 | 32.6% | |
| Physician | 10 | 9.0% | |
| Nurse | 40 | 36.0% | |
| Pharmacist | 48 | 43.2% | |
| Other | 13 | 11.7% | |
| Social media | 370 | 76.3% | |
| TV | 174 | 35.9% | |
| Awareness campaigns | 190 | 39.2% | |
| Family/friends | 128 | 26.4% | |
| Yes | 247 | 50.9% | |
| No | 238 | 49.1% |
Exploratory factor analysis of the 18-item awareness scale toward COVID-19
| Items | Factors | ||
|---|---|---|---|
| 1 | 2 | 3 | |
| Isolation and quarantine of infected people are effective for preventing the spread of COVID-19. | 0.154 | 0.199 | |
| Reporting symptoms of COVID-19 to local health authorities is important to prevent further disease transmission. | 0.099 | 0.218 | |
| Frequent hand washing before preparing and/or eating foods is essential to prevent further COVID-19 transmission. | − 0.107 | − 0.307 | |
| Hand washing after contact with possible contaminated materials or surfaces is important to prevent further COVID-19 transmission. | − 0.116 | − 0.292 | |
| Consultation of a healthcare provider when you have a cough or fever or difficulty in breathing is critical for preventing COVID-19 spreading. | − 0.100 | − 0.168 | |
| Travel bans to/from the areas of the disease should be implemented by the government to prevent COVID-19 spreading. | 0.111 | 0.262 | |
| Traveling to China is considered as a risk of novel coronavirus infection. | 0.057 | 0.321 | |
| Avoiding contact with sick people can prevent spread of disease. | 0.193 | 0.159 | |
| Isolation of COVID-19 patients is important to achieve effective adoption of infection control measures. | 0.218 | 0.168 | |
| Avoiding close contact with person who has an active respiratory symptom is essential to prevent further transmission of the disease. | 0.121 | 0.219 | |
| Hand washing with soap and water for at least 20 s can prevent COVID-19 transmission. | − 0.007 | 0.068 | |
| Antibiotics are effective in COVID-19 treatment. | 0.063 | − 0.128 | |
| COVID-19 can be treated with the available antiviral medications. | 0.016 | − 0.035 | |
| Vaccination of COVID-19 is available as a protective measure. | 0.095 | − 0.112 | |
| There is no treatment for COVID-19 until now. | 0.108 | 0.203 | |
| COVID-19 spread could be prevented by avoiding live animal contact. | 0.257 | − 0.026 | |
| The main source of novel coronavirus is animal. | 0.066 | 0.063 | |
| Chinese goods are considered as a source of exposure to novel coronavirus. | 0.021 | − 0.262 | |
Extraction method, principal component analysis; rotation method, Varimax with Kaiser normalization
COVID-19 awareness score according to demographic variables
| Awareness items | Strongly agree | Agree | Neutral | Disagree | Strongly disagree | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| F | % | F | % | F | % | F | % | F | % | |
| Isolation and quarantine of infected people are effective for preventing the spread of COVID-19. | 374 | 77.1 | 94 | 19.4 | 14 | 2.9 | 3 | 0.6 | 0 | 0 |
| Reporting symptoms of COVID-19 to local health authorities is important to prevent further disease transmission. | 394 | 81.2 | 71 | 14.6 | 17 | 3.5 | 3 | 0.6 | 0 | 0 |
| Frequent hand washing before preparing and/or eating foods is essential to prevent further COVID-19 transmission. | 354 | 73.0 | 86 | 17.7 | 30 | 6.2 | 10 | 2.1 | 5 | 1.0 |
| Hand washing after contact with possible contaminated materials or surfaces is important to prevent further COVID-19 transmission. | 332 | 68.5 | 101 | 20.8 | 40 | 8.2 | 10 | 2.1 | 2 | 0.4 |
| Consultation of a healthcare provider when you have a cough or fever or difficulty in breathing is critical for preventing COVID-19 spreading. | 251 | 51.8 | 125 | 25.8 | 68 | 14.0 | 26 | 5.4 | 15 | 3.1 |
| Travel bans to/from the areas of the disease should be implemented by the government to prevent COVID-19 spreading. | 387 | 79.8 | 76 | 15.7 | 18 | 3.7 | 4 | 0.8 | 0 | 0 |
| Traveling to China is considered as a risk of novel coronavirus infection. | 339 | 69.9 | 122 | 25.2 | 22 | 4.5 | 2 | 0.4 | 0 | 0 |
| Avoiding contact with sick people can prevent spread of disease. | 284 | 58.6 | 159 | 32.8 | 29 | 6.0 | 11 | 2.3 | 2 | 0.4 |
| Isolation of COVID-19 patients is important to achieve effective adoption of infection control measures. | 442 | 91.1 | 35 | 7.2 | 8 | 1.6 | 0 | 0 | 0 | 0 |
| Avoiding close contact with person who has an active respiratory symptom is essential to prevent further transmission of the disease. | 252 | 52.0 | 143 | 29.5 | 56 | 11.5 | 21 | 4.3 | 13 | 2.7 |
| Hand washing with soap and water for at least 20 s can prevent COVID-19 transmission. | 194 | 40.0 | 228 | 47.0 | 46 | 9.5 | 15 | 3.1 | 2 | 0.4 |
| Antibiotics are effective in COVID-19 treatment. | 11 | 2.3 | 70 | 14.4 | 146 | 30.1 | 89 | 18.4 | 169 | 34.8 |
| COVID-19 can be treated with the available antiviral medications. | 18 | 3.7 | 60 | 12.4 | 205 | 42.3 | 138 | 28.5 | 64 | 13.2 |
| Vaccination of COVID-19 is available as a protective measure. | 15 | 3.1 | 58 | 12.0 | 157 | 32.4 | 112 | 23.1 | 143 | 29.5 |
| There is no treatment for COVID-19 until now. | 234 | 48.2 | 132 | 27.2 | 57 | 11.8 | 52 | 10.7 | 10 | 2.1 |
| COVID-19 spread could be prevented by avoiding live animal contact. | 134 | 27.6 | 226 | 46.6 | 82 | 16.9 | 82 | 16.9 | 5 | 1.0 |
| The main source of novel coronavirus is animal. | 202 | 41.6 | 138 | 28.5 | 96 | 19.8 | 35 | 7.2 | 14 | 2.9 |
| Chinese goods are considered as a source of exposure to novel coronavirus. | 101 | 20.8 | 128 | 26.4 | 89 | 18.4 | 102 | 21.0 | 65 | 13.4 |
F Frequency, % Percentage
Participants’ awareness toward COVID-19
| COVID-19 awareness score | ||||
|---|---|---|---|---|
| Demographic variables | Mean ± SD | Median | ||
| Male | ||||
| Female | ||||
| 18–22 | ||||
| 23–26 | ||||
| 27–30 | ||||
| 31–36 | ||||
| 37–40 | ||||
| ≥ 41 | ||||
| Jordan | ||||
| Palestine | ||||
| Qatar | ||||
| UAE | ||||
| KSA | ||||
| Egypt | ||||
| Other | ||||
| Yes | ||||
| No | ||||
| Primary school/elementary | ||||
| Secondary school | ||||
| Diploma | ||||
| University degree | ||||
| Post-graduate degree | ||||
| Student | ||||
| Unemployed | ||||
| Employee in health sector | ||||
| Employee in non-health sector | ||||
| Physician | ||||
| Nurse | ||||
| Pharmacist | ||||
| Other | ||||
p values less than 0.05 were considered statistically significant, p values obtained from the Kruskal–Wallis and Mann–Whitney U tests
Univariate and multivariate analysis of factors associated with COVID-19 awareness score
| Factors | COVID-19 awareness score | |||||||
|---|---|---|---|---|---|---|---|---|
| Univariate | Multivariate | |||||||
| OR | 95% CI | OR | 95% CI | |||||
| Male | ------- | ------- | ------- | ------- | ||||
| Age | ||||||||
| Health status | ------- | ------- | ------- | ------- | ||||
| Same nationality as country of residence | ------- | ------- | ------- | ------- | ||||
| Awareness campaign | ||||||||
| Secondary school | ||||||||
| Diploma | ||||||||
| University degree | ||||||||
| Post-graduate degree | ||||||||
| Palestine | ------- | ------- | ------- | ------- | ||||
| Qatar | ------- | ------- | ------- | ------- | ||||
| UAE | ------- | ------- | ------- | ------- | ||||
| KSA | ||||||||
| Egypt | ------- | ------- | ------- | ------- | ||||
| Other | ------- | ------- | ------- | ------- | ||||
| Unemployed | ------- | ------- | ------- | ------- | ||||
| Employee in health sector | ||||||||
| Employee in non-health sector | ------- | ------- | ------- | ------- | ||||
p values less than 0.05 were considered statistically significant, “---” not included in the multivariate logistic regression model
OR Odds ratio, CI Confidence interval