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Social Distancing Measures

Below you can find demos of our social distancing measures, which were first published in PNAS in the article “Social Distancing Decreases an Individual’s Likelihood of Contracting COVID-19.”

 

As shown in our paper, these measures prospectively predicted who would contract COVID-19 over a four-month period. Moreover, our measures were more powerful than analogous self-report measures in predicting virus transmission. 

 

 

 

Interactive Measures:

Interacting with friends
Public Distancing-Grocery Aisle
Traversing a crowd
Finding a spot on the beach
Passing by a stranger
Standing in Line

Interactive measures designed by Benjamin Ruisch

 

 

 

Binary Choice Measures:

Street Scene
Two Paths in the Park
Coffeeshop
Library

Binary measures designed by Courtney Moore

 

 

 

Implementation:

You are welcome to use these measures in your own research. They can be easily implemented by downloading this .qsf file and uploading it in the survey design platform Qualtrics.

 

For questions about how to use these measures or analyze the resulting data, please contact Benjamin Ruisch at b.ruisch@kent.ac.uk