Effects of Social Mobility and Stringency Measures on the COVID-19 Outcomes: Evidence From the United States

Sun, Jianmin; Kwek, Keh; Li, Min; Shen, Hongzhou

doi:10.3389/fpubh.2021.779501

Cited by 15 publications

(11 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our findings are similar to those of Badr et al [ 27 ], who analyzed patterns in various counties in the USA and found that social distancing, measured utilizing reduced mobility, was associated with reducing the spread of COVID-19. Sun et al [ 9 ] reported similar correlations of the stringency index and mobility patterns with COVID-19 cases and deaths in the USA.…”

Section: Discussionmentioning

confidence: 84%

“…Google Location History (GLH), an open-source data repository, is a tool that helps us understand community mobility patterns in public places [ 8 ]. Social distancing and stringent government measures were reported to be the major predictors of COVID-19 cases and mortality in the United States of American (USA) [ 9 ]. A high stringency index and mobility restrictions improved the doubling time of COVID-19 cases in India [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Lockdowns, Community Mobility Patterns, and COVID-19: A Retrospective Analysis of Data from 16 Countries

Venkatesh

Ara

et al. 2022

Healthc Inform Res

View full text Add to dashboard Cite

Objectives: During the coronavirus disease 2019 (COVID-19) pandemic, countries around the world framed specific laws and imposed varying degrees of lockdowns to ensure the maintenance of physical distancing. Understanding changes in temporal and spatial mobility patterns may provide insights into the dynamics of this infectious disease. Therefore, we assessed the efficacy of lockdown measures in 16 countries worldwide by analyzing the relationship between community mobility patterns and the doubling time of COVID-19.Methods: We performed a retrospective record-based analysis of population-level data on the doubling time for COVID-19 and community mobility. The doubling time for COVID-19 was calculated based on the laboratory-confirmed cases reported daily over the study period (from February 15 to May 2, 2020). Principal component analysis (PCA) of six mobility pattern-related variables was conducted. To explain the magnitude of the effect of mobility on the doubling time, a finite linear distributed lag model was fitted. The k-means clustering approach was employed to identify countries with similar patterns in the significant co-efficient of the mobility index, with the optimal number of clusters derived using Elbow’s method.Results: The countries analyzed had reduced mobility in commercial and social places. Reduced mobility had a significant and favorable association with the doubling time of COVID-19—specifically, the greater the mobility reduction, the longer the time taken for the COVID-19 cases to double.Conclusions: COVID-19 lockdowns achieved the immediate objective of mobility reduction in countries with a high burden of cases.

show abstract

Section: Discussionmentioning

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Lockdowns, Community Mobility Patterns, and COVID-19: A Retrospective Analysis of Data from 16 Countries

Venkatesh

Ara

et al. 2022

Healthc Inform Res

View full text Add to dashboard Cite

show abstract

“…Giving vaccines is important to prevent the spread of the pandemic [22]. The pattern of the COVID-19 pandemic is unpredictable, therefore a strict step that needs to be taken is to increase vaccination [23]. Other researchers mentioned that the COVID-19 outbreak created job opportunities in pharmaceutical, vaccine, and laboratory tests [24].…”

Section: Discussionmentioning

confidence: 99%

Analyzing the Adoption of Clean and Healthy Living Behaviors against COVID-19 Students in Indonesia

Utami¹,

Usiono²,

Sayekti³

2022

TOPHJ

View full text Add to dashboard Cite

The ease of obtaining information influences students adopting the behavior. Purpose: To analyze the indicators of clean and healthy living behavior (PHBS) on students and find the effect of information in dealing with COVID-19. Methods: This is a quantitative study using a cross-sectional design and was conducted from March – to June 2020. The sample of students at one of the State Universities in Medan City was 352 respondents. Furthermore, the data were collected through a questionnaire, and path analysis determined the relationship between variables x and y. The influence of the respondents’ characteristic variables (X1) on the consumption of nutritious food (Y1), exercise habits (Y2), handwashing habits (Y3), environmental hygiene (Y4), smoking habits (Y5), wearing masks (Y6), water consumption (Y7), consumption of cooked food (Y8), use of health facilities (Y9), the habit of praying (Y10) was analyzed. Meanwhile, the effect of access to information (X2) on the consumption of nutritious food (Y1), exercise habits (Y2), handwashing habits (Y3), environmental hygiene (Y4), smoking habits (Y5), wearing masks (Y6), water consumption (Y7), consumption of cooked food (Y8), use of health facilities (Y9), and praying habit (Y10) was studied. Results: This study found that information affected the consumption of nutritious food, exercise habits, handwashing habits, and health facilities with a T-statistic value of 2.603, 1.970, 2.941, and 4.631, respectively, while individual characteristics influenced the use of masks with a value of 2,167. Conclusion: Information affects PHBS, and information media is an effective way and impetus for students to adopt the behavior. Furthermore, behavior change will be impacted when information is presented well.

show abstract

“…Among recent studies on COVID-19 government policy restrictions, the Oxford Coronavirus Government Response Tracker (OxCGRT) was commonly used. With the continuous-updated daily stringency index, Sun et al [13] examined the effects of COVID-19 policy stringency measures and the total time spent away from home. Chisadza et al [14] investigated the effectiveness of COVID government policy responses.…”

Section: Introductionmentioning

confidence: 99%

Examining the potential impact of COVID-19 government response on HIV prevention in the United States

Sun

2023

International Conference on Modern Medicine and Global Health (ICMMGH 2023)

View full text Add to dashboard Cite

Effects of Social Mobility and Stringency Measures on the COVID-19 Outcomes: Evidence From the United States

Cited by 15 publications

References 18 publications

Lockdowns, Community Mobility Patterns, and COVID-19: A Retrospective Analysis of Data from 16 Countries

Lockdowns, Community Mobility Patterns, and COVID-19: A Retrospective Analysis of Data from 16 Countries

Analyzing the Adoption of Clean and Healthy Living Behaviors against COVID-19 Students in Indonesia

Examining the potential impact of COVID-19 government response on HIV prevention in the United States

Contact Info

Product

Resources

About