Background

On 3 April 2020, Singapore instituted a month-long ‘circuit breaker’ period to reduce community spread of COVID-19. This included closure of schools and other institutes of learning, and most workplaces except essential services. Food retailers remained open for takeaway dining and food delivery only. Social gatherings of people not living in the same household, regardless of size, were banned in both public and private spaces, and people were encouraged to stay at home as much as possible.

In this analysis, we report on contact patterns and visits to public spaces among the Singapore population since the start of the ‘circuit breaker’ period. The data are based on an online survey of 1032 people conducted between the evening of 9 April 2020 and the evening of 14 April 2020. Details of the survey methodology are given at the end of the report.

Visits to public places

In the past week, respondents reported an average of 1.9 visits to supermarkets, grocery stores or wet markets and 1.6 visits to hawker centres, coffee shops or food courts. All other places, including shopping malls and parks were visited less than once on average (Table 1).

Table 1: Visits to public places in the past week
Location Mean Median 25th percentile 75th percentile
Supermarket/wet market 1.9 2 1 3
Restaurant/bar/cafe 0.3 0 0 0
Hawker centre/food court 1.6 1 0 2
Place of worship 0.0 0 0 0
Shopping mall 0.7 0 0 1
Playground 0.0 0 0 0
Park 0.7 0 0 1

Men in all age groups tended to visit parks and food retailers (including hawker centres/coffee shops/food courts and supermarkets/grocery stores/wet markets) more commonly than women (Figure 1).

Location visits

Figure 1: Percentage of male and female respondents visiting different locations by number of visits in the past week. Darker shading indicates a higher percentage of participants

For visits to food retailers, we did not specifically ask whether food was consumed within the premises.

Contact patterns

On average respondents reported contact with less than 1 other individual in the past 24 hours, both within and outside their household. Those aged 65 years and above tended to have more contacts within the household and fewer outside the household compared with younger respondents (Table 2). There was, however, a small minority with a large number of contacts, with some individuals reporting more than 15 contacts outside their household.

Table 2: Summary statistics for number of contacts within and outside the household in respondents of different age groups
Contact type Respondent age Mean (SD) Median Minimum 25th percentile 75th percentile Maximum
Household 19-44 years 0.57 1.12 0 0 0 1 30
Household 45-64 years 0.59 2.16 0 0 0 1 75
Household 65+ years 0.82 4.97 0 0 0 1 88
Non-household 19-44 years 0.71 5.32 0 0 0 0 99
Non-household 45-64 years 0.42 2.48 0 0 0 0 70
Non-household 65+ years 0.17 0.89 0 0 0 0 15

Figure 2 shows a matrix of average daily contacts between age groups. Respondents aged 65+ years reported the highest number of contacts with individuals in the same age group within the household (1.8 per day), as well as individuals aged 19-44 years (1.2 per day, likely indicative of inter-generational contact). Younger respondents aged 19-44 years reported an average of 1.2 contacts with individuals in the same age group within their household, and 1.6 contacts with individuals outside their household.

Contact matrix

Figure 2: Mean daily contacts with individuals of different age groups in the past 24 hours, as reported by survey respondents.

There were marked differences in contact patterns by respondent gender (Figure 3). Female respondents aged 65+ years reported more contacts with other individuals of the same age group within their household (~2.6 contacts per day on average), while male respondents aged 19-44 years reported more contacts with individuals in the same age group outside their household (~2.6 contacts per day on average).

Contact matrix by gender

Figure 3: Mean daily contacts with individuals of different age groups in the past 24 hours, as reported by male and female survey respondents.

It should be noted that for contacts with individuals outside the household, we did not specifically ask respondents whether these occurred as part of work or other activities. However, analysis by work status suggests that these largely correspond to contacts for respondents whose job cannot be done remotely.

Contact matrix by work status

Figure 4: Mean daily contacts with individuals of different age groups in the past 24 hours, according to whether respondents can work remotely.

Survey methodology

Between 9 April and 14 April 2020, we placed advertisements on Facebook with a link to an online survey questionnaire. The advertisements were targeted at Facebook users in Singapore. Users clicking on the survey link were taken to a webpage with information about the purpose of the study. Respondents completed the survey anonymously and no remuneration was provided for completing the survey.

The survey questionnaire comprised eight sections with questions on knowledge, sources of solicited and unsolicited information, self-efficacy and information needs, anxiety, confidence in authorities, acceptance of quarantine measures, behavioural changes in response to the epidemic, and socio-demographic characteristics. For this survey round, we additionally included questions related to visiting public places and contact with other individuals.

Respondents were asked the following questions: 1. In the past week how many times have you visited the following? - Supermarket, grocery store, wet market - Restaurant, bar, cafe - Hawker centre, coffee shop, food court - Place of worship - Shopping mall - Playground - Park

  1. In the past 24 hours, how many people in your own household in each of these age groups have you had close contact with? By close contact we mean touching or having a conversation with someone <2 metres away.

  2. In the past 24 hours, how many people outside your household in each of these age groups have you had close contact with? By close contact we mean touching or having a conversation with someone <2 metres away. For questions 2 and 3, respondents were asked to report contacts with people in the following age groups: <5 years, 5-18 years, 19-44 years, 45-64 years, 65+ years. The survey was administered using REDCap software. Ethical approval for this survey was provided by the Departmental Ethics Review Committee of the Saw Swee Hock School of Public Health, National University of Singapore (SPH-003; SPH-004).

Participation

A total of 1067 completed surveys were collected. Survey completion was 80.1% (based on the number of completed surveys out of users who initiated the survey).

Respondents who reported not currently residing in Singapore (n = 7) and individuals aged <21 years or with implausible or missing age were excluded from the analysis (n = 28).

Of the remaining 1032 respondents, 671 (65%) were female and 337 (32.7%) male; information on gender was missing for 24 (2.3%) individuals. Respondent demographics are presented in Table 3.

Table 3: Demographic characteristics
Overall (N=1032)
gender
- N-Miss 2
- Male 337 (32.7%)
- Female 671 (65.1%)
- Non-binary 0 (0.0%)
- Prefer not to say 22 (2.1%)
ethnicity
- N-Miss 4
- Chinese 771 (75.0%)
- Malay 57 (5.5%)
- Indian 67 (6.5%)
- Other 104 (10.1%)
- Prefer not to say 29 (2.8%)
education
- N-Miss 4
- No formal qualifications/lower primary 0 (0.0%)
- Primary (PSLE) 7 (0.7%)
- Secondary (O/N Level) 134 (13.0%)
- A Level/Polytechnic/Diploma 234 (22.8%)
- ITE/NTC 25 (2.4%)
- University 596 (58.0%)
- Prefer not to say 32 (3.1%)
marital
- N-Miss 2
- Currently married 565 (54.9%)
- Divorced 59 (5.7%)
- Never married 325 (31.6%)
- Separated but not divorced 14 (1.4%)
- Widowed 13 (1.3%)
- Prefer not to say 54 (5.2%)
housing
- 1-2 room HDB 28 (2.7%)
- 3-4 room HDB 397 (38.5%)
- 5-room HDB/executive flat 260 (25.2%)
- Private housing 292 (28.3%)
- Others 24 (2.3%)
- Do not know 3 (0.3%)
- Prefer not to say 28 (2.7%)
income
- N-Miss 7
- \< $2,000 96 (9.4%)
- $2,000 - $3,999 149 (14.5%)
- $4,000 - $5,999 156 (15.2%)
- $6,000 - $10,000 174 (17.0%)
- \> $10,000 233 (22.7%)
- Prefer not to say 217 (21.2%)