tetano
Editor, Senior Moderator
Epidemiol Health
. 2023 Jul 10;e2023065.
doi: 10.4178/epih.e2023065. Online ahead of print. Direct indicators of social distancing effectiveness in COVID-19 outbreak stages: a correlational analysis of case contacts and population mobility
Sojin Choi[SUP] 1 [/SUP], Chanhee Kim[SUP] 1 [/SUP], Kun-Hee Park[SUP] 1 [/SUP], Jong-Hun Kim[SUP] 2 [/SUP]
Affiliations
Objectives: The effectiveness of social distancing during the coronavirus disease 2019 (COVID-19) pandemic has been evaluated using the magnitude of changes in population mobility. This study aimed to investigate a direct indicator-namely, the number of close contacts per patient with confirmed COVID-19.
Methods: From week 7, 2020 to week 43, 2021, population movement changes were calculated from the data of two Korean telecommunication companies and Google in accordance with social distancing stringency levels. Data on confirmed cases and their close contacts among residents of Gyeonggi Province, Republic of Korea were combined at each stage. Pearson correlation analysis was conducted to compare the movement data with the change in the number of contacts for each confirmed case calculated by stratification according to age group. The reference value of the population movement data was set using the value before mid-February 2020, considering each data's characteristics.
Results: In the age group of 18 or younger, the number of close contacts per confirmed case decreased or increased when the stringency level was strengthened or relaxed, respectively. In adults, the correlation was relatively low, with no correlation between the change in the number of close contacts per confirmed case and the change in population movement after the commencement of vaccination for adults.
Conclusion: The effectiveness of governmental social distancing policies against COVID-19 can be evaluated using the number of close contacts per confirmed case as a direct indicator, especially for each age group. Such an analysis can facilitate policy changes for specific groups.
Keywords: COVID-19; Close contact; Mobility; Movement; Social distancing; Stringency.
. 2023 Jul 10;e2023065.
doi: 10.4178/epih.e2023065. Online ahead of print. Direct indicators of social distancing effectiveness in COVID-19 outbreak stages: a correlational analysis of case contacts and population mobility
Sojin Choi[SUP] 1 [/SUP], Chanhee Kim[SUP] 1 [/SUP], Kun-Hee Park[SUP] 1 [/SUP], Jong-Hun Kim[SUP] 2 [/SUP]
Affiliations
- PMID: 37448123
- DOI: 10.4178/epih.e2023065
Objectives: The effectiveness of social distancing during the coronavirus disease 2019 (COVID-19) pandemic has been evaluated using the magnitude of changes in population mobility. This study aimed to investigate a direct indicator-namely, the number of close contacts per patient with confirmed COVID-19.
Methods: From week 7, 2020 to week 43, 2021, population movement changes were calculated from the data of two Korean telecommunication companies and Google in accordance with social distancing stringency levels. Data on confirmed cases and their close contacts among residents of Gyeonggi Province, Republic of Korea were combined at each stage. Pearson correlation analysis was conducted to compare the movement data with the change in the number of contacts for each confirmed case calculated by stratification according to age group. The reference value of the population movement data was set using the value before mid-February 2020, considering each data's characteristics.
Results: In the age group of 18 or younger, the number of close contacts per confirmed case decreased or increased when the stringency level was strengthened or relaxed, respectively. In adults, the correlation was relatively low, with no correlation between the change in the number of close contacts per confirmed case and the change in population movement after the commencement of vaccination for adults.
Conclusion: The effectiveness of governmental social distancing policies against COVID-19 can be evaluated using the number of close contacts per confirmed case as a direct indicator, especially for each age group. Such an analysis can facilitate policy changes for specific groups.
Keywords: COVID-19; Close contact; Mobility; Movement; Social distancing; Stringency.