Table 2 Knowledge of COVID-19 symptoms and preventive measures
From: Knowledge, attitudes, practices, and the effects of COVID-19 among the youth in Kenya
% reporting the following symptoms | Female nĀ =ā1083 | (%) | Male nĀ =ā1073 | (%) | Total nĀ =ā2156 | (%) | P value |
|---|---|---|---|---|---|---|---|
āHigh Fever above 38 | 1053 | (97.2) | 1014 | (94.5) | 2067 | (95.9) | 0.001 |
āDifficulty breathing | 988 | (91.2) | 969 | (90.3) | 1957 | (90.8) | 0.13 |
āDry cough | 915 | (84.5) | 885 | (82.5) | 1800 | (83.5) | 0.209 |
āHeadache | 703 | (64.9) | 678 | (63.2) | 1381 | (64.1) | 0.404 |
āSore Throat | 652 | (60.2) | 578 | (53.9) | 1230 | (57.1) | 0.003 |
āTiredness/fatigue | 558 | (51.5) | 480 | (44.7) | 1038 | (48.1) | 0.002 |
āBody Ache | 343 | (31.7) | 324 | (30.2) | 667 | (30.9) | 0.459 |
āLoss of taste | 218 | (20.1) | 160 | (14.9) | 378 | (17.5) | 0.001 |
āLoss of smell | 186 | (17.2) | 143 | (13.3) | 329 | (15.3) | 0.013 |
āDiarrhea | 143 | (13.2) | 118 | (11.0) | 261 | (12.1) | 0.116 |
Average no of signs (0ā10) (SD) | 5.3 | (1.9) | 4.9 | (1.9) | 5.1 | (1.9) | <ā0.001 |
% reporting the following ways of preventing COVID-19 | 1083 | (%) | 1073 | (%) | 2156 | (%) | P value |
āWash hands with soap and running water | 1069 | (98.7) | 1046 | (97.5) | 2115 | (98.1) | 0.038 |
āUse hand sanitizer | 1042 | (96.2) | 1020 | (95.1) | 2062 | (95.6) | 0.19 |
āWear masks | 1018 | (94.0) | 989 | (92.2) | 2007 | (93.1) | 0.095 |
āStand 1ā2ām away from people | 946 | (87.3) | 952 | (88.7) | 1898 | (88.0) | 0.326 |
āStay home unless urgent | 961 | (88.7) | 925 | (86.2) | 1886 | (87.5) | 0.076 |
āDo not touch face | 956 | (88.3) | 921 | (85.8) | 1877 | (87.1) | 0.092 |
āDo not shake hands | 955 | (88.2) | 935 | (87.1) | 1890 | (87.7) | 0.462 |
āUse digital money | 867 | (80.1) | 838 | (78.1) | 1705 | (79.1) | 0.264 |
āDo not go to weddings/funerals | 771 | (71.2) | 739 | (68.9) | 1510 | (70.0) | 0.24 |
āDo not go to church/mosque | 763 | (70.5) | 730 | (68.0) | 1493 | (69.2) | 0.224 |
āReduce the number of people they come to contact with | 723 | (66.8) | 713 | (66.4) | 1436 | (66.6) | 0.879 |
āAvoid public transport/travelling | 690 | (63.7) | 645 | (60.1) | 1335 | (61.9) | 0.085 |
āScrub/clean surfaces | 711 | (65.7) | 584 | (54.4) | 1295 | (60.1) | <ā0.001 |
āGet tested for coronavirus (COVID-19) | 459 | (42.4) | 527 | (49.1) | 986 | (45.7) | 0.002 |
Average scores (0ā14) (SD) | 11.0 | (3.3) | 10.7 | (3.5) | 10.9 | (3.4) | 0.104 |
Linear regression model | No of observationsā=ā2156 | Pā>āFā=ā0.0000 | R Squaredā=ā0.0241 | ||||
Number of signs & symptoms | Coefficient | P value | Confidence interval | ||||
āGender (ref: Female) | 0.36 | <ā0.001 | 0.19, 0.53 | ||||
āEducation; (ref: College education | 0.296 | 0.008 | 0.070, 0.46 | ||||
āEmployment status: ref.: no employment | |||||||
āāFormal employment | 0.35 | 0.001 | 0.15, 0.55 | ||||
āāSelf-employed | -0.15 | 0.191 | ā0.37, 0.07 | ||||
Linear regression model | No of observationsā=ā2156 | Pā>āFā=ā0.0000 | R Squaredā=ā0.0241 | ||||
No of preventive measures identified | #of observationsā=ā2156 | Pā>āFā=ā0.0536 | R Squaredā=ā0.0048 | ||||
āGender (ref: Female) | ā0.27 | 0.069 | ā0.021, 0.57 | ||||
āEducation; (ref: College education | 0.10 | 0.543 | ā0.24, 0.46 | ||||
āEmployment status: ref.: no employment | |||||||
āāFormal employment | 0.38 | 0.037 | 0.02 0 .74 | ||||
āāSelf-employed | 0.022 | 0.912 | ā0.37, 0.41 | ||||