scholarly journals Association of cell phone location data and trends in COVID-19 infections during loosening of stay-at-home restrictions

2020 ◽  
Vol 27 (8) ◽  
Author(s):  
Shiv T Sehra ◽  
Louis J Kishfy ◽  
Alexander Brodski ◽  
Michael D George ◽  
Douglas J Wiebe ◽  
...  
Keyword(s):  
Cell Phone ◽  
Location Data ◽  
At Home

scholarly journals Policy and Environmental Predictors of Park Visits During the First Months of the COVID-19 Pandemic: Getting Out While Staying in

2021 ◽  
pp. 001391652110311
Author(s):  
David S. Curtis ◽  
Alessandro Rigolon ◽  
Dorothy L. Schmalz ◽  
Barbara B. Brown
Keyword(s):  
Growth Rate ◽  
Human Health ◽  
Cell Phone ◽  
Environmental Predictors ◽  
School Closures ◽  
Park Use ◽  
Location Data ◽  
At Home ◽  
Recreation And Leisure

The COVID-19 pandemic may have altered visitation patterns to parks, with potential effects on human health. Little is known about park use early in the pandemic, how park availability influenced use, and whether park visits accelerated COVID-19 spread. Using weekly cell phone location data for 620 U.S. counties, we show park visits decreased by an average 26% between March 15 and May 9, 2020. Net of weekly trends, park visits were 2.2% lower when stay-at-home orders were in effect, yet increased by 8.4% with school closures and 4.4% with business closures. Park visits decreased less during the pandemic in counties where park availability was high. Levels of park visits were not associated with COVID-19 growth rate or incidence in the following weeks. Thus, parks served as recreation and leisure outlets when schools and businesses closed, especially where parks were more available, with no evidence of park use increasing COVID-19 spread.

Bringing it All Back Home

2007 ◽  
Vol 17 (1) ◽  
pp. 163-172 ◽  
Author(s):  
Peter Whalley
Keyword(s):  
Cell Phone ◽  
High Speed ◽  
Independent Contractor ◽  
Fully Integrated ◽  
Time Zones ◽  
A Cell ◽  
At Home ◽  
Older Child

ABSTRACT:Not so long ago I interviewed a computer engineer in her home. Surrounded with toys and a napping baby—the interview time had been chosen carefully—she talked about how she worked as an independent contractor for a large electronics company. Connected by high-speed broadband, two telephone lines, and a cell phone, she felt fully integrated into the work, exchanging electronic files with her colleagues and having telephone conversations with customers two continents and umpteen time zones away. She told me she often worked late after the baby was in bed and during the baby's afternoon nap before she went to pick her older child up from school. Despite these odd working times, however, she was convinced that none of the company's customers and only some of her work colleagues knew that she worked at home. She was very contented with the arrangement.

scholarly journals Case Study: Using Facebook Data to Monitor Adherence to Stay-at-home Orders in Colorado and Utah

2020 ◽  
Author(s):  
Ryan M. Layer ◽  
Bailey Fosdick ◽  
Michael Bradshaw ◽  
Daniel B. Larremore ◽  
Paul Doherty
Keyword(s):  
Limited Resources ◽  
Location Data ◽  
Mobility Data ◽  
Health Measure ◽  
The Us ◽  
User Data ◽  
Interactive Visualizations ◽  
Local Officials ◽  
At Home

ABSTRACTIn the absence of effective treatments or a vaccine, social distancing has been the only public health measure available to combat the COVID-19 pandemic to date. In the US, implementing this response has been left to state, county, and city officials, and many localities have issued some form of a stay-at-home order. Without existing tools and with limited resources, localities struggled to understand how their orders changed behavior. In response, several technology companies opened access to their users’ location data. As part of the COVID-19 Data Mobility Data Network [2], we obtained access to Facebook User data and developed four key metrics and visualizations to monitor various aspects of adherence to stay at home orders. These metrics were carefully incorporated into static and interactive visualizations for dissemination to local officials.All code is open source and freely available at https://github.com/ryanlayer/COvid19

scholarly journals Association of Mobile Phone Location Data Indications of Travel and Stay-at-Home Mandates With COVID-19 Infection Rates in the US

2020 ◽  
Vol 3 (9) ◽  
pp. e2020485 ◽  
Author(s):  
Song Gao ◽  
Jinmeng Rao ◽  
Yuhao Kang ◽  
Yunlei Liang ◽  
Jake Kruse ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Infection Rates ◽  
Location Data ◽  
The Us ◽  
At Home
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