tetano
Editor, Senior Moderator
Am J Health Behav
. 2021 Nov 15;45(6):1079-1090.
doi: 10.5993/AJHB.45.6.11.
Tracking Changes of Social Distancing in the United States of America after Outbreak of Coronavirus Disease (COVID-19) at the Early Stage
Young Sam Oh[SUP] 1 [/SUP], Na Kyoung Song[SUP] 2 [/SUP]
Affiliations
Abstract
Objectives: This research examines social distancing changes over time, and by region of the United States after the COVID-19 pandemic began.
Methods: We utilized information on social distancing from the Google Community Mobility Reports. We performed one-way repeated-measure analysis of variance (RM-ANOVA) to examine the overall changes in the 6 types of social distancing from baseline to the 12-week follow-up (March 1 to May 24, 2020). We applied a 2-way RM-ANOVA to evaluate the effects of time and 4 regions on social distancing.
Results: According to one-way RM-ANOVA results, social distancing tended to increase until Time 3 (March 30 to April 12) and 4 (April 13 to April 26), before decreasing again, regardless of the area. The 2-way RM-ANOVA results revealed that the social distancing variations in the 6 area types over time were statistically significant in each region, along with the interaction of regions and time. Compared to other regions, social distancing was the highest in the Northeast area, except in park areas.
Conclusions: We found that social distancing can be influenced not only by contagion changes, but also by regional differences. Understanding the features of social distancing can play a significant role in helping society build a promising COVID-19 prevention model.
. 2021 Nov 15;45(6):1079-1090.
doi: 10.5993/AJHB.45.6.11.
Tracking Changes of Social Distancing in the United States of America after Outbreak of Coronavirus Disease (COVID-19) at the Early Stage
Young Sam Oh[SUP] 1 [/SUP], Na Kyoung Song[SUP] 2 [/SUP]
Affiliations
- PMID: 34969418
- DOI: 10.5993/AJHB.45.6.11
Abstract
Objectives: This research examines social distancing changes over time, and by region of the United States after the COVID-19 pandemic began.
Methods: We utilized information on social distancing from the Google Community Mobility Reports. We performed one-way repeated-measure analysis of variance (RM-ANOVA) to examine the overall changes in the 6 types of social distancing from baseline to the 12-week follow-up (March 1 to May 24, 2020). We applied a 2-way RM-ANOVA to evaluate the effects of time and 4 regions on social distancing.
Results: According to one-way RM-ANOVA results, social distancing tended to increase until Time 3 (March 30 to April 12) and 4 (April 13 to April 26), before decreasing again, regardless of the area. The 2-way RM-ANOVA results revealed that the social distancing variations in the 6 area types over time were statistically significant in each region, along with the interaction of regions and time. Compared to other regions, social distancing was the highest in the Northeast area, except in park areas.
Conclusions: We found that social distancing can be influenced not only by contagion changes, but also by regional differences. Understanding the features of social distancing can play a significant role in helping society build a promising COVID-19 prevention model.