| Literature DB >> 32437434 |
Arina Anis Azlan1, Mohammad Rezal Hamzah2, Tham Jen Sern3, Suffian Hadi Ayub4, Emma Mohamad1.
Abstract
In an effort to mitigate the outbreak of COVID-19, many countries have imposed drastic lockdown, movement control or shelter in place orders on their residents. The effectiveness of these mitigation measures is highly dependent on cooperation and compliance of all members of society. The knowledge, attitudes and practices people hold toward the disease play an integral role in determining a society's readiness to accept behavioural change measures from health authorities. The aim of this study was to determine the knowledge levels, attitudes and practices toward COVID-19 among the Malaysian public. A cross-sectional online survey of 4,850 Malaysian residents was conducted between 27th March and 3rd April 2020. The survey instrument consisted of demographic characteristics, 13 items on knowledge, 3 items on attitudes and 3 items on practices, modified from a previously published questionnaire on COVID-19. Descriptive statistics, chi-square tests, t-tests and one-way analysis of variance (ANOVA) were conducted. The overall correct rate of the knowledge questionnaire was 80.5%. Most participants held positive attitudes toward the successful control of COVID-19 (83.1%), the ability of Malaysia to conquer the disease (95.9%) and the way the Malaysian government was handling the crisis (89.9%). Most participants were also taking precautions such as avoiding crowds (83.4%) and practising proper hand hygiene (87.8%) in the week before the movement control order started. However, the wearing of face masks was less common (51.2%). This survey is among the first to assess knowledge, attitudes and practice in response to the COVID-19 pandemic in Malaysia. The results highlight the importance of consistent messaging from health authorities and the government as well as the need for tailored health education programs to improve levels of knowledge, attitudes and practices.Entities:
Mesh:
Year: 2020 PMID: 32437434 PMCID: PMC7241824 DOI: 10.1371/journal.pone.0233668
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Demographic characteristics of participants (N = 4850).
| Characteristic | Number | Percentage (%) | |
|---|---|---|---|
| Gender | Male | 2042 | 42.1 |
| Female | 2808 | 57.9 | |
| Age | 18–29 | 2065 | 42.6 |
| 30–49 | 2233 | 46.1 | |
| Above 50 | 544 | 11.2 | |
| Region | Central | 1993 | 41.1 |
| Northern | 1178 | 24.3 | |
| Southern | 638 | 13.2 | |
| Eastern | 662 | 13.6 | |
| Sabah/Sarawak | 379 | 7.8 | |
| Occupation | Public sector | 2173 | 44.8 |
| Student | 1125 | 23.2 | |
| Private sector | 955 | 19.7 | |
| Self-employed | 267 | 5.5 | |
| Not employed | 195 | 4.0 | |
| Retiree | 96 | 2.0 | |
| Other | 32 | 0.7 | |
| Income category | Under RM 3,000 per month | 1540 | 31.8 |
| RM3,001 –RM6,000 per month | 1289 | 26.6 | |
| RM6,001 –RM9,000 per month | 832 | 17.2 | |
| RM9,001 –RM12,000 per month | 575 | 11.9 | |
| RM12,001 and above per month | 614 | 12.7 |
* “Other” includes occupations such as manual labour and contract/ part-time work
Participant knowledge of COVID-19 (N = 4850).
| Question | True | False | I’m not sure |
|---|---|---|---|
| 1. The main clinical symptoms of COVID-19 are fever, fatigue, dry cough, and body aches. | 490 (10.1%) | 153 (3.2%) | |
| 2. Unlike the common cold, stuffy nose, runny nose, and sneezing are less common in persons infected with the COVID-19 virus. | 862 (17.8%) | 836 (17.2%) | |
| 3. There currently is no effective cure for COVID-19, but early symptomatic and supportive treatment can help most patients recover from the infection. | 66 (1.4%) | 222 (4.6%) | |
| 4. Not all persons with COVID-2019 will develop to severe cases. Only those who are elderly and have chronic illnesses are more likely to be severe cases. | 277 (5.7%) | 226 (4.7%) | |
| 5. Eating or touching wild animals would result in the infection by the COVID-19 virus. | 1705 (35.2%) | 1414 (29.2%) | |
| 6. Persons with COVID-19 cannot infect the virus to others if they do not have a fever. | 281 (5.8%) | 535 (11.0%) | |
| 7. The COVID-19 virus spreads via respiratory droplets of infected individuals. | 359 (7.4%) | 520 (10.7%) | |
| 8. The COVID-19 virus is airborne. | 2042 (42.1%) | 709 (14.6%) | |
| 9. Ordinary residents can wear face masks to prevent the infection by the COVID-19 virus. | 813 (16.8%) | 318 (6.6%) | |
| 10. It is not necessary for children and young adults to take measures to prevent the infection by the COVID-19 virus. | 179 (3.7%) | 41 (0.8%) | |
| 11. To prevent the infection by COVID-19, individuals should avoid going to crowded places and avoid taking public transportations. | 112 (2.3%) | 49 (1.0%) | |
| 12. Isolation and treatment of people who are infected with the COVID-19 virus are effective ways to reduce the spread of the virus. | 17 (0.4%) | 36 (0.7%) | |
| 13. People who have contact with someone infected with the COVID-19 virus should be immediately isolated in a proper place. In general, the isolation period is 14 days. | 18 (0.4%) | 25 (0.5%) |
Correct answers are indicated in bold.
Demographic characteristics of participants and knowledge score (N = 4850).
| Characteristics | No. of participants | Knowledge score (SD) | t / F | P | |
|---|---|---|---|---|---|
| Gender | Male | 2042 (42.1%) | 10.3 (1.5) | -6.878 | <0.001 |
| Female | 2808 (57.9%) | 10.6 (1.3) | |||
| Age group | 18–29 | 2065 (42.6%) | 10.0 (1.4) | 203.717 | <0.001 |
| 30–49 | 2233 (46.1%) | 10.7 (1.3) | |||
| Above 50 | 544 (11.2%) | 11.0 (1.1) | |||
| Region | Central | 1993 (41.1%) | 10.7 (1.3) | 31.548 | <0.001 |
| Northern | 1178 (24.3%) | 10.1 (1.4) | |||
| Southern | 638 (13.2%) | 10.4 (1.5) | |||
| Eastern | 662 (13.6%) | 10.4 (1.4) | |||
| Sabah/Sarawak | 379 (7.8%) | 10.4 (1.4) | |||
| Occupation group | Other | 33 (0.7%) | 10.5 (1.2) | 21.349 | <0.001 |
| Student | 1125 (23.2%) | 10.1 (1.4) | |||
| Unemployed | 195 (4.0%) | 10.7 (1.2) | |||
| Retiree | 96 (2.0%) | 10.9 (1.1) | |||
| Private sector | 955 (19.7%) | 10.7 (1.3) | |||
| Public sector | 2173 (44.8%) | 10.5 (1.4) | |||
| Self-employed | 267 (5.5%) | 10.7 (1.4) | |||
| Income category | Below RM3k | 1540 (31.8%) | 10 (1.4) | 96.113 | <0.001 |
| RM3k – 6k | 1289 (26.6%) | 10.5 (1.4) | |||
| RM6k – 9k | 832 (17.2%) | 10.7 (1.3) | |||
| RM9k – 12k | 575 (11.9%) | 10.8 (1.3) | |||
| RM12k and above | 614 (12.7%) | 11.0 (1.2) |
*“Other” includes occupations such as manual labour and contract/ part-time work
Fig 1Attitudes of participants on COVID-19 (N = 4850).
Demographic characteristics of participants and attitudes toward COVID-19 (N = 4850).
| Do you agree that COVID-19 will be successfully controlled? | Do you have confidence that Malaysia can win the battle against the COVID-19 virus? | The government of Malaysia is handling the COVID-19 health crisis very well. | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Characteristics | Agree | Disagree | I’m not sure | Yes | No | Agree | Disagree | I’m not sure | |
| Gender | Male | 1724 (85.0%) | 44 (2.2%) | 259 (12.8%) | 1954 (96.4%) | 74 (3.6%) | 1836 (90.5%) | 94 (4.6%) | 98 (4.8%) |
| Female | 2304 (82.9%) | 56 (2.0%) | 419 (15.1%) | 2695 (97.0%) | 84 (3.0%) | 2526 (90.9%) | 88 (3.2%) | 165 (5.9%) | |
| Age group | 18–29 | 1674 (81.6%) | 51 (2.5%) | 326 (15.9%) | 1967 (95.9%) | 84 (4.1%) | 1839 (89.7%) | 82 (4.0%) | 130 (6.3%) |
| 30–49 | 1889 (85.3%) | 41 (1.9%) | 284 (12.8%) | 2160 (97.6%) | 54 (2.4%) | 2053 (92.7%) | 66 (3.0%) | 95 (4.3%) | |
| Above 50 | 459 (86%) | 8 (1.5%) | 67 (12.5%) | 516 (96.6%) | 18 (3.4%) | 464 (86.9%) | 34 (6.4%) | 36 (6.7%) | |
| Region | Central | 1594 (80.8%) | 50 (2.5%) | 329 (16.7%) | 1899 (96.2%) | 74 (3.8%) | 1740 (88.2%) | 105 (5.3%) | 128 (6.5%) |
| Northern | 975 (83.8%) | 21 (1.8%) | 167 (14.4%) | 1124 (96.6%) | 39 (3.4%) | 1066 (91.7%) | 33 (2.8%) | 64 (5.5%) | |
| Southern | 549 (86.5%) | 13 (2.0%) | 73 (11.5%) | 616 (97.0%) | 19 (3.0%) | 586 (92.3%) | 21 (3.3%) | 28 (4.4%) | |
| Eastern | 586 (88.9%) | 7 (1.1%) | 66 (10.0%) | 647 (98.2%) | 12 (1.8%) | 630 (95.6%) | 11 (1.7%) | 18 (2.7%) | |
| Sabah/Sarawak | 324 (85.9%) | 10 (2.7%) | 43 (11.4%) | 363 (96.3%) | 14 (3.7%) | 340 (90.2%) | 12 (3.2%) | 25 (6.6%) | |
| Occupation group | Other | 25 (78.1%) | 0 (0%) | 7 (21.9%) | 30 (93.8%) | 2 (6.3%) | 26 (81.3%) | 2 (6.3%) | 4 (12.5%) |
| Student | 879 (78.6%) | 37 (3.3%) | 202 (18.1%) | 1061 (94.9%) | 57 (5.1%) | 974 (87.1%) | 59 (5.3%) | 85 (7.6%) | |
| Unemployed | 164 (85%) | 2 (1.0%) | 27 (14.0%) | 188 (97.4%) | 5 (2.6%) | 180 (93.3%) | 8 (4.1%) | 5 (2.6%) | |
| Retiree | 77 (81.9%) | 1 (1.1%) | 16 (17.0%) | 91 (96.8%) | 3 (3.2%) | 75 (79.8%) | 10 (10.6%) | 9 (9.6%) | |
| Private sector | 761 (80.3%) | 32 (3.4%) | 155 (16.4%) | 905 (95.5%) | 43 (4.5%) | 833 (87.9%) | 45 (4.7%) | 70 (7.4%) | |
| Public sector | 1889 (87.8%) | 28 (1.3%) | 234 (10.9%) | 2112 (98.2%) | 39 (1.8%) | 2042 (94.9%) | 44 (2.0%) | 65 (3.0%) | |
| Self-employed | 226 (85.6%) | 1 (0.4%) | 37 (14%) | 255 (96.6%) | 9 (3.4%) | 226 (85.6%) | 14 (5.3%) | 24 (9.1%) | |
| Income category | Below RM3k | 1290 (84.3%) | 29 (1.9%) | 212 (13.8%) | 1486 (97.1%) | 45 (2.9%) | 1399 (91.4%) | 56 (3.7%) | 76 (5.0%) |
| RM3k – 6k | 1093 (85.4%) | 26 (2.0%) | 161 (12.6%) | 1236 (96.6%) | 4 (3.4%) | 1154 (90.2%) | 41 (3.2%) | 85 (6.6%) | |
| RM6k – 9k | 698 (84.6%) | 14 (1.7%) | 113 (13.7%) | 795 (96.4%) | 30 (3.6%) | 749 (90.8%) | 37 (4.5%) | 39 (4.7%) | |
| RM9k – 12k | 456 (81.0%) | 12 (2.1%) | 95 (16.9%) | 545 (96.8%) | 18 (3.2%) | 519 (92.2%) | 19 (3.4%) | 25 (4.4%) | |
| RM12k and above | 491 (80.8%) | 20 (3.3%) | 97 (16.0%) | 587 (96.5%) | 21 (3.5%) | 541 (89.0%) | 29 (4.8%) | 38 (6.3%) | |
| Knowledge score | 10.5 (1.4) | 10.4 (1.4) | 10.2 (1.5) | 10.5 (1.4) | 10.3 (1.4) | 10.5 (1.4) | 10.3 (1.4) | 10.2 (1.5) | |
#“Other” includes occupations such as manual labour and contract/ part-time work
*P<0.05
**P<0.01
***P<0.001
Fig 2Practices of participants on COVID-19 (N = 4850).
Demographic characteristics of participants and practices toward COVID-19 (N = 4850).
| In the week before the MCO, did you avoid going to crowded places such as weddings? | In the week before the MCO, did you wear a face mask when leaving the home? | In the week before the MCO, did you practice proper hand hygiene by frequently washing your hands and using hand sanitizer? | |||||
|---|---|---|---|---|---|---|---|
| Characteristics | Yes | No | Yes | No | Yes | No | |
| Gender | Male | 1701 (83.9%) | 327 (16.1%) | 1092 (53.8%) | 936 (46.2%) | 1701 (83.9%) | 327 (16.1%) |
| Female | 2309 (83.1%) | 470 (16.9%) | 1369 (49.3%) | 1410 (50.7%) | 2520 (90.7%) | 259 (9.3%) | |
| Age group | 18–29 | 1742 (84.9%) | 309 (15.5%) | 1271 (62.0%) | 780 (38.0%) | 1849 (90.2%) | 202 (9.8%) |
| 30–49 | 1853 (83.7%) | 361 (16.3%) | 972 (43.9%) | 1242 (56.1%) | 1932 (87.3%) | 282 (12.7%) | |
| Above 50 | 407 (76.2%) | 127 (23.8%) | 212 (39.7%) | 322 (60.3%) | 433 (81.1%) | 101(18.9%) | |
| Region | Central | 1634 (82.8%) | 339 (17.2%) | 919 (46.6%) | 1054 (53.4%) | 1775 (90.0%) | 198 (10.0%) |
| Northern | 984 (84.6%) | 179 (15.4%) | 695 (59.8%) | 468 (40.2%) | 1027 (88.3%) | 136 (11.7%) | |
| Southern | 533 (83.9%) | 102 (16.6%) | 318 (50.1%) | 317 (49.9%) | 546 (86.0%) | 89 (14.0%) | |
| Eastern | 535 (81.2%) | 124 (18.8%) | 323 (49.0%) | 336 (51.0%) | 553 (83.9%) | 106 (16.1%) | |
| Sabah/Sarawak | 324 (85.9%) | 53 (14.1%) | 206 (54.6%) | 171 (45.4%) | 320 (84.9%) | 57 (15.1%) | |
| Occupation group | Other | 26 (81.3%) | 6 (18.8%) | 12 (37.5%) | 20 (62.5%) | 24 (75.0%) | 8 (25.0%) |
| Student | 927 (82.9%) | 191 (17.1%) | 697 (62.6%) | 421 (37.7%) | 1015 (90.8%) | 103 (9.2%) | |
| Unemployed | 161 (83.4%) | 32 (16.6%) | 81 (42.0%) | 112 (58.0%) | 168 (87.0%) | 25 (13.0%) | |
| Retiree | 73 (77.7%) | 21 (22.3%) | 34 (36.2%) | 60 (63.8%) | 71 (75.5%) | 23 (24.5%) | |
| Private sector | 780 (82.3%) | 168 (17.7%) | 429 (45.3%) | 519 (54.7%) | 851 (89.8%) | 97 (10.2%) | |
| Public sector | 1827 (84.9%) | 324 (15.1%) | 1086 (50.5%) | 1065 (49.5%) | 1858 (86.4%) | 293 (13.6%) | |
| Self-employed | 210 (79.5%) | 54 (20.5%) | 119 (45.1%) | 145 (54.9%) | 227 (86.0%) | 37 (14.0%) | |
| Income category | Below RM3k | 1321 (86.3%) | 210 (13.7%) | 941 (61.5%) | 590 (38.5%) | 1368 (89.4%) | 163 (10.6%) |
| RM3k – 6k | 1075 (84.0%) | 205 (16.0%) | 676 (52.8%) | 604 (47.2%) | 1115 (87.1%) | 165 (12.9%) | |
| RM6k – 9k | 682 (82.7%) | 143 (17.3%) | 351 (42.5%) | 474 (57.5%) | 718 (87.0%) | 107 (13.0%) | |
| RM9k – 12k | 455 (80.8%) | 108 (19.2%) | 243 (43.2%) | 320 (56.8%) | 482 (85.6%) | 81 (14.4%) | |
| RM12k and above | 477 (78.5%) | 131 (21.5%) | 250 (41.1%) | 358 (58.9%) | 538 (88.5%) | 70 (11.5%) | |
| Knowledge score (t-test) | 10.4 (1.4) | 10.6 (1.4) | 10.3 (1.4) | 10.6 (1.4) | 10.5 (1.4) | 10.5 (1.4) | |
#“Other” includes occupations such as manual labour and contract/ part-time work
*P<0.05
**P<0.01
***P<0.001