Effect of social distancing on COVID-19 incidence and mortality in the US.
Trang VoPhamMatthew D WeaverJaime E HartMimi TonEmily WhitePolly A NewcombPublished in: medRxiv : the preprint server for health sciences (2020)
Social distancing policies were implemented in most US states as a containment strategy against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The effectiveness of these policy interventions on morbidity and mortality remains unknown. Our analysis examined the associations between statewide policies and objective measures of social distancing, and objective social distancing and COVID-19 incidence and mortality. We used nationwide, de-identified smartphone GPS data to estimate county-level social distancing. COVID-19 incidence and mortality data were from the Johns Hopkins Coronavirus Resource Center. Generalized linear mixed models were used to estimate incidence rate ratios (IRRs) and 95% confidence intervals (CIs) for the association between objective social distancing and COVID-19 incidence and mortality. Stay-at-home orders were associated with a 35% increase in social distancing. Higher social distancing was associated with a 29% reduction in COVID-19 incidence (adjusted IRR 0.71; 95% CI 0.57-0.87) and a 35% reduction in COVID-19 mortality (adjusted IRR 0.65; 95% CI 0.55-0.76). These findings provide evidence to inform ongoing national discussions on the effectiveness of these public health measures and the potential implications of returning to normal social activity.
Keyphrases
- sars cov
- respiratory syndrome coronavirus
- coronavirus disease
- risk factors
- public health
- healthcare
- mental health
- cardiovascular events
- randomized controlled trial
- systematic review
- type diabetes
- cardiovascular disease
- quality improvement
- machine learning
- cross sectional
- big data
- deep learning
- artificial intelligence