Effectiveness and Compliance to Social Distancing During COVID-19

by   Kristi Bushman, et al.

In the absence of pharmaceutical interventions to curb the spread of COVID-19, countries relied on a number of nonpharmaceutical interventions to fight the first wave of the pandemic. The most prevalent one has been stay-at-home orders, whose the goal is to limit the physical contact between people, which consequently will reduce the number of secondary infections generated. In this work, we use a detailed set of mobility data to evaluate the impact that these interventions had on alleviating the spread of the virus in the US as measured through the COVID-19-related deaths. To establish this impact, we use the notion of Granger causality between two time-series. We show that there is a unidirectional Granger causality, from the median percentage of time spent daily at home to the daily number of COVID-19-related deaths with a lag of 2 weeks. We further analyze the mobility patterns at the census block level to identify which parts of the population might encounter difficulties in adhering and complying with social distancing measures. This information is important, since it can consequently drive interventions that aim at helping these parts of the population.



There are no comments yet.


page 12


Living in a pandemic: adaptation of individual mobility and social activity in the US

The non-pharmaceutical interventions (NPIs), aimed at reducing the diffu...

On the Interplay of Regional Mobility, Social Connectedness, and the Spread of COVID-19 in Germany

Since the primary mode of respiratory virus transmission is person-to-pe...

Human Mobility during COVID-19 in the Context of Mild Social Distancing: Implications for Technological Interventions

The COVID-19 pandemic has brought both tangible and intangible damage to...

Compartmental Models for COVID-19 and Control via Policy Interventions

We demonstrate an approach to replicate and forecast the spread of the S...

Using smartphones and wearable devices to monitor behavioural changes during COVID-19

In the absence of a vaccine or effective treatment for COVID-19, countri...

Causal Analysis and Prediction of Human Mobility in the U.S. during the COVID-19 Pandemic

Since the increasing outspread of COVID-19 in the U.S., with the highest...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.