Article Figures & Data
Tables
Variables n % Gender Female 812 56.5 Male 624 43.5 Age (years) 18-30 770 53.6 30-45 385 26.8 >45 281 19.6 Educational level Bachelor’s degree 751 52.3 High school diploma or less 484 33.7 Master’s degree or higher 201 14.0 City Riyadh 1033 71.9 Jeddah 167 11.6 others 236 16.4 Nationality Saudi 1174 81.6 Non-Saudi 265 18.4 Occupation Health care provider 461 32.1 Non-health care provider 975 67.9 Household income (SAR) <3000 68 4.7 3000-9999 195 13.6 10000-25000 351 24.4 >25000 338 23.5 Prefer not to answer 484 33.7 Values are presented as number and percentages (%).
- Table 2
- Responses assessing knowledge in reply to questions. Which of the following actions help prevent catching an infection with COVID-19.
Questions Yes No I do not know Wearing a mask 1396 (97.2) 24 (1.7) 16 (1.1) Getting a vaccine against pneumonia 162 (11.3) 620 (43.2) 654 (45.5) Gargling mouthwash 299 (20.8) 738 (51.4) 399 (27.8) Washing hands with soap and water for 20-30 seconds 1405 (97.8) 31 (2.2) 0 (0) Eating garlic 351 (24.4) 603 (42.0) 482 (33.6) Avoiding close contact with sick people 1403 (97.7) 17 (1.2) 16 (1.1) Taking antibiotics 110 (7.7) 942 (65.6) 384 (26.7) Using hand sanitizer 1376 (95.8) 34 (2.4) 26 (1.8) Putting sesame oil on skin 16 (1.1) 1065 (74.2) 355 (24.7) Avoid touching eyes nose and mouth with unwashed hands 1411 (98.3) 15 (1.0) 10 (0.7) Regularly rinsing nose with saline 251 (17.5) 646 (45.0) 539 (37.5) Drinking bleach and chlorine products 16 (1.1) 1317 (91.7) 103 (7.2) Taking prophylactic chloroquine 73 (5.1) 850 (59.2) 513 (35.7) Values are presented as number and percentages (%).
Symptoms Yes No I don’t know Nose bleeds 52 (3.6) 1019 (71.0) 365 (25.4) Cough 1344 (93.6) 40 (2.8) 52 (3.6) Fever 1428 (99.4) 2 (0.1) 6(0.4) Skin rash 129 (9.0) 908 (63.2) 399 (27.8) Constipation 109 (7.6) 882 (61.4) 445 (31.0) Shortness of breath 1415 (98.5) 5 (0.3) 16 (1.1) Frequent urination 32 (2.2) 887 (61.8) 517 (36.0) Body aches 1168 (81.3) 88 (6.1) 180 (12.5) Values arepresented as number and percentages (%).
- Table 4
- Responses to the main ways in which people are currently getting infected with the COVID-19. Respondents could choose more than one or all options from the following options.
Options n % Eating or touching bats 243 16.9 Fecal contaminants in drinking water 77 5.4 Unhygienic preparation of food 210 14.6 Sexual intercourse or sharing of needles for drug use 175 12.2 Mosquito bites 32 2.2 Droplets of saliva that land in the mouths or noses of people who are nearby when an infected person sneezes or coughs 1338 93.2 Eating under cooked meat products 131 9.1 Directly coming into touch with someone’s bodily fluids like blood, vomit, or sweat 494 34.4 Coming into contact with camels 37 2.6 Values are presented as number and percentages (%).
Predictor Estimate SE t P-value Stand. estimate Intercept 6.6276 0.41239 16.071 <0.0001 Health care provider Health care provider Non-healthcare provider 1.0925 0.15504 7.047 <0.0001 0.3909 Age -0.0609 0.00657 -9.261 <0.0001 -0.2730 Level of education Bachelor’s degree High school, diploma or less 0.1080 0.15506 0.696 0.4864 0.0386 Master’s degree or higher 0.7685 0.24309 3.161 0.0016 0.2750 High school diploma or less Gender FemaleMale -0.2886 0.14016 -2.059 0.0396 -0.1033 Salary (Saudi Riyals) I prefer not to answer 1.1676 0.32794 3.561 0.0004 0.4177 3000-9999 0.3466 0.35667 0.972 0.3314 0.1240 10000-25000 1.1474 0.33605 3.414 0.0007 0.4105 >25000 2.1972 0.33961 6.470 <0.0001 0.7861 Predictor Estimate SE t P-value Stand. estimate Intercept 5.7622 0.30043 19.180 <0.0001 Health care provider Health care provider Non-healthcare provider 0.5655 0.11295 5.006 <0.0001 0.30398 Age 0.0005 0.00479 0.105 0.9163 0.00339 Level of education Bachelor’s degree High school, diploma or less 0.1961 0.11296 1.736 0.0828 0.10540 Master’s degree or higher 0.1678 0.17709 0.947 0.3436 0.09019 High school diploma or less Gender Female Male -0.2229 0.10211 -2.183 0.0292 -0.11983 Salary (Saudi Riyals) I prefer not to answer 0.1070 0.23890 0.448 0.6544 0.05751 3000-9999 0.1392 0.25983 0.536 0.5922 0.07484 10000-25000 0.0874 0.24481 0.357 0.7210 0.04700 >25000 0.1903 0.24741 0.769 0.4420 0.10229