Due to the urgency and precedency of event, researchers proposed a cross-sectional study to evaluate the public’s perception on COVID-19, and how people practice social distancing during the virus outbreak period. We realized that it is important to understand the level of knowledge, attitudes, and practices of Malaysians throughout the MCO period. It was not feasible to conduct a face-to-face sampling survey in the middle of the pandemic, hence an online survey through Google Form was devised as a platform.
Instrumentation and measurement of the study
This quantitative study used questionnaires as a tool or instrument for data collection. The instrument was developed by the researchers based on the current situation, information disseminated and public announcements by the relevant authorities through the media, which very much relates to the knowledge and attitudes towards COVID-19 as well as the practices in managing the virus spread. Thus, it consisted of five main variables in regard to COVID-19 namely knowledge, attitudes, practices, source of information, and socio-demographic characteristics. These variables also matched with several similar studies related to KAP on disease outbreak such as COVID-19 outbreak by Zhong, et al. (2020) and MERS-CoV outbreak by Asaad, et al. (2019).
Section A entails the items for measuring the respondent’s knowledge pertaining to COVID-19. A total of 11 items using the dichotomous scale (true and false) were developed, consisting of questions such as the origin of the disease outbreak, global highest mortality cases, myth beliefs, types of transmission, symptoms of infection, preventive measures, and prevention initiatives by the Malaysian authority. Data for the correct answers for each item were combined to measure the total score for the knowledge variable. Discrete analysis showed that the minimum score was 0 and the highest score was 11. Since the data distribution of this study skewed towards the high score, the median score was used to determine the groups of level. They were grouped into two categories (based on the median score = 8), namely; average knowledge (0-8) and excellent knowledge (9-11). Even though the median score seems to skew towards the high score, it gives a better representation of central tendency than averages.
Meanwhile, Section B entails the attitudes towards COVID-19 where respondents were asked to rate their perspective or state-of-mind towards COVID-19, using a 4-point Likert scale score ranging from Strongly Disagree (1) to Strongly Agree (4). Nine items or statements were developed to measure attitude. The total score ranged from 9 to 36. Each individual respondent’s total score was averaged to determine the level of the attitude with median procedure, which were categorized into two categories, namely neutral attitude (3.11), and positive attitude (3.12-4.00).
Section C measures social distancing practices. A seven-item statement was developed ranging from no social distance practice to strict social distance practice. Respondents were asked to choose one item that reflects his/her daily practices during this MCO period. Since the scale is ordinal, the scores were then grouped into four categories namely; No social distance practice = (1), Poor social distance practice = (2, 3, 4), Good social distance practice = (5, 6), and Strict social distance practice = (7). Finally, Section D of the questionnaires focuses on the basic demographic data such as age, gender, education level, and the source of information about COVID-19.
A pilot-test was conducted on 58 respondents from three types of groups such as academicians (subject matter experts in social sciences and health sciences), professional workers, and the general public. A reliability test was conducted using SPSS (Version 22). All items met the required recommendation of Cronbach’s alpha value (α= < .70), which indicated acceptable internal consistency.
Study Participants
The questionnaire was posted online via social media (mostly thru WhatsApp and Facebook) on 24 - 26 March 2020, a week after the implementation of MCO. A total of 3211 samples were collected within 3 days (2422 respondents on the 1st day, 752 respondents on the 2nd day, and 37 respondents on the 3rd day). Table 1 shows the demographics characteristics of the respondents. A majority of the respondents were females (68.8%), aged between 35-44 years old (35.4%), 25-34 years old (25.1%) and 15-24 years old (18.2%). The mean age was 36 years. Location wise, almost half of the respondents (49.6%) were from the Central zone of Peninsular Malaysia while 8.2% of the respondents participating in this survey were from Borneo Island (East Malaysia). In terms of education, a total of 55.0% of the respondents obtained a bachelor’s degree, and 71.7% are currently actively working. A majority (63.3%) of the respondents referred to social media as their main source of information about COVID-19, instead of newspapers (.9%).
Table 1 The characteristics of study participants (N=3211)
Variable
|
n
|
%
|
Age:
|
15 - 24 years
|
585
|
18.2
|
25 - 34 years
|
805
|
25.1
|
35 – 44 years
|
1138
|
35.4
|
45 – 54 years
|
490
|
15.3
|
55 years ≥
|
193
|
6.0
|
Mean
|
36.0
|
|
|
SD
|
11.297
|
|
Gender:
|
Male
|
1001
|
31.2
|
Female
|
2210
|
68.8
|
Zones of States:
|
North
|
226
|
7.0
|
Central
|
1593
|
49.6
|
South
|
604
|
18.8
|
East
|
526
|
16.4
|
Borneo
|
262
|
8.2
|
Academic Level:
|
MCE & lower
|
568
|
17.7
|
HMCE & Diploma
|
878
|
27.3
|
Bachelor’s Degree
|
1291
|
40.2
|
Masters & PhD
|
474
|
14.8
|
Occupation:
|
Government Servants
|
1441
|
44.9
|
Private organization / NGOs
|
671
|
20.9
|
Self-employed
|
189
|
5.9
|
Student
|
586
|
18.2
|
Pensioners
|
82
|
2.6
|
Housewife/Not working
|
242
|
7.5
|
Main Source of Information on COVID-19:
|
Social media
|
2033
|
63.3
|
Internet/website
|
420
|
13.1
|
TV and Radio
|
609
|
18.9
|
Newspaper
|
29
|
.9
|
Family/friends/medical person
|
120
|
3.8
|
Note: MCE refers to the Malaysia Certificate of Education. HMCE refers to the Higher Malaysia Certificate of Education and equivalent with Diploma.
Statistical analysis
In this descriptive study, simple descriptive statistics such as frequencies, percentages, and mean scores were used to present and describe the data collected from the respondents. The Chi-square test (χ²) statistic was used to test whether the data from two or more groups of categories are associated with participants’ social distance practice. Variable measure includes the level of knowledge and level of attitude. Data analysis was performed using SPSS version 22.