Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

The Influence of Social Distancing on COVID-19 Mortality in US Counties: Cross-sectional Study (Preprint)

View through CrossRef
BACKGROUND Previous studies on the impact of social distancing on COVID-19 mortality in the United States have predominantly examined this relationship at the national level and have not separated COVID-19 deaths in nursing homes from total COVID-19 deaths. This approach may obscure differences in social distancing behaviors by county in addition to the actual effectiveness of social distancing in preventing COVID-19 deaths. OBJECTIVE This study aimed to determine the influence of county-level social distancing behavior on COVID-19 mortality (deaths per 100,000 people) across US counties over the period of the implementation of stay-at-home orders in most US states (March-May 2020). METHODS Using social distancing data from tracked mobile phones in all US counties, we estimated the relationship between social distancing (average proportion of mobile phone usage outside of home between March and May 2020) and COVID-19 mortality (when the state in which the county is located reported its first confirmed case of COVID-19 and up to May 31, 2020) with a mixed-effects negative binomial model while distinguishing COVID-19 deaths in nursing homes from total COVID-19 deaths and accounting for social distancing– and COVID-19–related factors (including the period between the report of the first confirmed case of COVID-19 and May 31, 2020; population density; social vulnerability; and hospital resource availability). Results from the mixed-effects negative binomial model were then used to generate marginal effects at the mean, which helped separate the influence of social distancing on COVID-19 deaths from other covariates while calculating COVID-19 deaths per 100,000 people. RESULTS We observed that a 1% increase in average mobile phone usage outside of home between March and May 2020 led to a significant increase in COVID-19 mortality by a factor of 1.18 (<i>P</i><.001), while every 1% increase in the average proportion of mobile phone usage outside of home in February 2020 was found to significantly decrease COVID-19 mortality by a factor of 0.90 (<i>P</i><.001). CONCLUSIONS As stay-at-home orders have been lifted in many US states, continued adherence to other social distancing measures, such as avoiding large gatherings and maintaining physical distance in public, are key to preventing additional COVID-19 deaths in counties across the country.
Title: The Influence of Social Distancing on COVID-19 Mortality in US Counties: Cross-sectional Study (Preprint)
Description:
BACKGROUND Previous studies on the impact of social distancing on COVID-19 mortality in the United States have predominantly examined this relationship at the national level and have not separated COVID-19 deaths in nursing homes from total COVID-19 deaths.
This approach may obscure differences in social distancing behaviors by county in addition to the actual effectiveness of social distancing in preventing COVID-19 deaths.
OBJECTIVE This study aimed to determine the influence of county-level social distancing behavior on COVID-19 mortality (deaths per 100,000 people) across US counties over the period of the implementation of stay-at-home orders in most US states (March-May 2020).
METHODS Using social distancing data from tracked mobile phones in all US counties, we estimated the relationship between social distancing (average proportion of mobile phone usage outside of home between March and May 2020) and COVID-19 mortality (when the state in which the county is located reported its first confirmed case of COVID-19 and up to May 31, 2020) with a mixed-effects negative binomial model while distinguishing COVID-19 deaths in nursing homes from total COVID-19 deaths and accounting for social distancing– and COVID-19–related factors (including the period between the report of the first confirmed case of COVID-19 and May 31, 2020; population density; social vulnerability; and hospital resource availability).
Results from the mixed-effects negative binomial model were then used to generate marginal effects at the mean, which helped separate the influence of social distancing on COVID-19 deaths from other covariates while calculating COVID-19 deaths per 100,000 people.
RESULTS We observed that a 1% increase in average mobile phone usage outside of home between March and May 2020 led to a significant increase in COVID-19 mortality by a factor of 1.
18 (<i>P</i><.
001), while every 1% increase in the average proportion of mobile phone usage outside of home in February 2020 was found to significantly decrease COVID-19 mortality by a factor of 0.
90 (<i>P</i><.
001).
CONCLUSIONS As stay-at-home orders have been lifted in many US states, continued adherence to other social distancing measures, such as avoiding large gatherings and maintaining physical distance in public, are key to preventing additional COVID-19 deaths in counties across the country.

Related Results

EDUKASI ONLINE SOCIAL DISTANCING DALAM MENGATASI PENYEBARAN COVID-19 DI KADER KESEHATAN KELURAHAN GANDUL CINERE
EDUKASI ONLINE SOCIAL DISTANCING DALAM MENGATASI PENYEBARAN COVID-19 DI KADER KESEHATAN KELURAHAN GANDUL CINERE
Gandul Cinere village is located on the border of South Jakarta.  Jakarta has a relatively high number of COVID-19 positive patients.  Since May 27, 2020, the Indonesian government...
Compliance, Barriers, and Facilitators to Social Distancing Measures for Prevention of COVID-19 in Northwest Ethiopia, 2020
Compliance, Barriers, and Facilitators to Social Distancing Measures for Prevention of COVID-19 in Northwest Ethiopia, 2020
Abstract Background: The Coronavirus disease (COVID-19) pandemic is the defining global health crisis of our time. To date there is no definitive treatment for COVID-19 and...
Social Distancing Causally Impacts the Spread of SARS-CoV-2: A U.S. Nationwide Event Study
Social Distancing Causally Impacts the Spread of SARS-CoV-2: A U.S. Nationwide Event Study
AbstractObjectivesTo assess the causal impact of a spontaneous relaxation of social distancing on the spread of SARS-CoV-2 in the United States (U.S.), while controlling for social...
Is Rural Kansas Prepared? An Assessment of Resources Related to the COVID-19 Pandemic
Is Rural Kansas Prepared? An Assessment of Resources Related to the COVID-19 Pandemic
INTRODUCTION. This study investigated rural Kansas healthcare system capacity and critical care-related resources relevant to the care of COVID-19 patients in at the county level i...
COVID-19 Case Prediction and Outbreak Control of Navy Cluster in Sri Lanka: Effectiveness of SIR Model
COVID-19 Case Prediction and Outbreak Control of Navy Cluster in Sri Lanka: Effectiveness of SIR Model
Abstract Introduction: Infectious diseases such as coronavirus disease 2019 (COVID-19) can spread dangerously fast in semi-confined places. Nevertheless, it has been found ...
Correlation of COVID-19 Mortality with Clinical Parameters in an Urban and Suburban Nursing Home Population
Correlation of COVID-19 Mortality with Clinical Parameters in an Urban and Suburban Nursing Home Population
AbstractImportance and ObjectiveCOVID-19 has a high mortality rate amongst nursing home populations (26.4% nationally and 28.3% in New Jersey). Identification of factors influencin...
Investigation of spatial configuration management on social distancing of recreational clubhouse for COVID-19 in Penang, Malaysia
Investigation of spatial configuration management on social distancing of recreational clubhouse for COVID-19 in Penang, Malaysia
PurposeSince the appearance of COVID-19 social distancing and staying home have been recommended repeatedly by the governments for disease prevention. As the challenge continues to...
Modeling the Spatial Formation Mechanism of Poverty-Stricken Counties in China by Using Geographical Detector
Modeling the Spatial Formation Mechanism of Poverty-Stricken Counties in China by Using Geographical Detector
The poverty-stricken counties in China follow a spatial pattern of regional poverty. Examining the influential factors of this spatial pattern can provide an important reference th...

Back to Top