| Literature DB >> 34221198 |
Husam Abazid1, Iman A Basheti2, Esraa E Al-Jomaa3, Ayham Abazid4, Warda M Kloub5.
Abstract
OBJECTIVE: To evaluate the knowledge, believes, psychological and behavioural impact of COVID-19 on the general population in the Middle East, exploring how it impacted public lives.Entities:
Keywords: Attitude to Health; Attitudes; COVID-19; Cross-Sectional Studies; Disease Outbreaks; Fear; Health Knowledge; Middle East; Practice; Problem Behavior; Quarantine; Social Media; Surveys and Questionnaires
Year: 2021 PMID: 34221198 PMCID: PMC8216710 DOI: 10.18549/PharmPract.2021.2.2306
Source DB: PubMed Journal: Pharm Pract (Granada) ISSN: 1885-642X
Demographic characteristics of the study sample (n=2,061)
| Age in years; mean (SD) | 27.5 (22.4) |
| Gender, n (%) | |
| Female | 1394 (67.6) |
| Male | 667 (32.4) |
| Accommodation place, n (%) | |
| City | 1896 (92) |
| Countryside | 165 (8) |
| Country of residency, n (%) | |
| Countries of the Levant | 1199 (58.1) |
| The Arabian Peninsula | 392 (19.1) |
| Iraq | 300 (14.6) |
| Egypt | 138 (6.7) |
| Turkey | 22 (1.0) |
| Iran | 10 (0.5) |
| Academic level, n (%) | |
| Uneducated | 46 (2.2) |
| Pre-university study | 389 (18.9) |
| University study | 1495 (72.5) |
| Postgraduate | 131 (6.4) |
| Field of study, n (%) | |
| Medical or health field | 784 (38) |
| Non-medical or health field | 1277 (62) |
| Field of work, n (%) | |
| Medical or health field | 290 (14) |
| Non-medical or health field | 1771 (86) |
| Participants infected previously with COVID-19, n (%) | 61 (3.0) |
| Participants who are committed to quarantine in their home, n (%) | 1847 (89.6) |
Sources of information about COVID-19 among the study participants (n=2061)
| Source | Percent |
|---|---|
| Other | 9.4 |
| Social media | 41.2 |
| Visual and audible media | 35.2 |
| Public’s conversation | 13.9 |
| WHO reports | 0.3 |
Assessment of study participants’ knowledge and believes about COVID-19 pandemic (n= 2061)
| Statements | Answers, n (%) | |
|---|---|---|
| Correct answer | I do not know | |
| COVID-19 pandemic is a real fact | 1834 (89.0) | 21 (1.0) |
| COVID-19 is seriousness | 282 (13.7) | 148 (7.2) |
| COVID-19 is a biological weapon | 763 (37.0) | 21 (1.0) |
| Symptoms of COVID-19 | 849 (41.2) | 123 (6.0) |
| Effectiveness of hydroxychloroquine | 708 (34.4) | 958 (46.5) |
| Effectiveness of saline solution | 588 (28.5) | 742 (36) |
| The impact of climate on COVID-19 | 623 (30.2) | 471 (22.9) |
| Method of COVID-19 spread | 1805 (87.6) | 127 (6.2) |
| COVID-19 can affect children | 1611 (78.2) | 200 (9.7) |
| The incubation period of COVID-19 | 1476 (71.6) | 300 (14.6) |
| The risk of antihypertensive in infection with COVID-19 | 425 (20.6) | 1083 (52.5) |
| Some COVID-19 infected cases are asymptomatic | 1663 (80.7) | 227 (11.0) |
| All COVID-19 cases end with death | 1511 (73.3) | 167 (8.1) |
| Infection methods | 1844 (89.5) | 123 (6.0) |
| The most vulnerable group | 1765 (85.6) | 118 (5.7) |
| Banned period of infected persons | 1852 (89.9) | 109 (5.3) |
| Strengthening the immune system | 1593 (77.3) | 199 (9.7) |
| Effectiveness of antibiotics | 675 (32.8) | 692 (33.6) |
| Use of a single mask multiple times | 1623 (78.7) | 137 (6.6) |
| All family members using the same mask | 1825 (88.5) | 100 (4.9) |
The proportion of study participants who expressed agreement about the psychological effects of COVID-19 (n=2061)
| Psychological effect | Percent |
|---|---|
| Worried about family health | 92.2 |
| Afraid to visit crowded places | 85 |
| Anxious due to fake news | 80.7 |
| Concerned about work | 80 |
| confident in control measures | 50.4 |
| Panic of touching anything | 43.4 |
The proportion of study participants who changed their behavior because of COVID-19 (n=2061)
| Behavior | Percent |
|---|---|
| Using public facilities | 86.9 |
| Social habits | 80.8 |
| Personal habits | 76 |
| Purchasing groceries | 50.2 |
| Following news | 49.5 |
| Work permit | 42.5 |
Safety precautions undertaken by participants to avoid getting infected with COVID-19 (n=2061)
| Safety precaution | Percent |
|---|---|
| Nutritional supplements and vitamins | 53.3 |
| Citrus | 36.5 |
| Vegetables (onion, garlic and ginger) | 27.3 |
| Medicinal herbs | 23.7 |
| Medicines (antipyretics and decongestants) | 13.6 |
| Do nothing | 21 |
| Other | 1.8 |
Assessment knowledge regarding corona virus pandemic of participants in the medical/ health related field of work compared to participants from outside the medical/ health field (n= 2061)
| Statements with p-value <0.05 | Answers, n (%) | ||||
|---|---|---|---|---|---|
| Medical/ health field (n=290) | Non-Medical/ health field (n=1771) | p-value | |||
| Correct answer | I do not know | Correct answer | I do not know | ||
| Effectiveness of Hydroxychloroquine | 128 (44.1) | 87 (30.0) | 580 (32.7) | 871 (49.2) | <0.001 |
| Effectiveness of saline solution | 92 (31.7) | 81 (27.9) | 496 (28.0) | 661 (37.3) | 0.008 |
| The impact of climate on Corona | 101 (34.8) | 48 (16.6) | 522 (29.5) | 423 (23.9) | 0.015 |
| Method of Corona virus spread | 258 (89.0) | 9 (3.1) | 1547 (87.4) | 118 (6.7) | 0.035 |
| The incubation period of Coronavirus | 223 (76.9) | 25 (8.6) | 1253 (70.8) | 275 (15.5) | 0.008 |
| The risk of antihypertensive | 74 (25.5) | 109 (37.6) | 351 (19.8) | 974 (55.0) | <0.001 |
| Banned period of infected | 253 (87.2) | 11 (3.8) | 1599 (90.3) | 98 (5.5) | 0.001 |
| Strengthening the immune system | 213 (73.4) | 20 (6.9) | 1380 (77.9) | 179 (10.1) | 0.001 |
| Effectiveness of antibiotics | 104 (35.9) | 64 (22.1) | 571 (32.2) | 628 (35.5) | <0.001 |