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Table 2 Clustering Analysis 1-Clustering based on social media, news source, trust questions

From: Attitudes, behaviours and barriers to public health measures for COVID-19: a survey to inform public health messaging

Clusters

1

2

3

4

Summary of description (on average)

-Low social media use.

-Use TV for news

-Have trust in health authority.

-Low effect of social influence on public health behaviour choices

-Use social media also use it for news.

-Lower trust on health authorities

-Lower effect of social influence except distancing and staying home while sick

-Use social media but not for news.

-Lower trust on health authorities

-Good effect of social influence except on use of app

-Use social media also for news

-Have trust in health authorities

-Higher effect of social influence

Downloaded an app (%)

0

12

11

24

Accept a vaccine (%)

30

15

25

50

Age

 1: < 30

4.78

2.29

2.57

2.26

 5: + 60

Reason for no download: Privacy concern in app (%)

35

23

7

20

Reason for no download: No need in app (%)

35

11

7

13

Reason for no download: Lack of awareness (%)

21

35

57

26

Risk and Time preference

More likely to accept a lower risk/sooner payoff

Medium level of risk and time preference

Medium level of risk and time preference

More likely to accept a higher risk/later payoff

How often do you:

    

1:Rare, 3:Always

    

Physical distance

2.9

2.8

2.8

2.9

Use a mask

2.9

2.3

2.5

2.8

Stay home if sick

3

2.9

2.5

2.9

Use contact tracing/exposure notification app

1

1.5

1.6

1.7

Avoid bars, clubs, nightclubs and lounges

1.35

1.3

1

1.3

Confident keeping you/family safe: Yes = 1. No = 2

1.57

1.4

1.35

1.8

Concern of getting COVID-19 1 very, 4: none

2.35

3

3.3

2.46

Observation count

14

17

14

15

  1. Below are the means across clusters developed from the data (four clusters, minimizing distance)