Skip to main content

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)