Mapping County-Level Mobility Pattern Changes in the United States in Response to COVID-19

11 Pages Posted: 9 Apr 2020 Last revised: 18 May 2020

See all articles by Song Gao

Song Gao

University of Wisconsin-Madison

Jinmeng Rao

University of Wisconsin-Madison

Yuhao Kang

University of Wisconsin-Madison

Yunlei Liang

University of Wisconsin-Madison

Jake Kruse

University of Wisconsin-Madison

Date Written: April 2, 2020

Abstract

To contain the COVID-19 outbreak, one of the non-pharmacological epidemic control measures in response to the COVID-19 outbreak is reducing the transmission rate of SARS-COV-2 in the population through (physical) social distancing. An interactive web-based mapping platform that provides timely quantitative information on how people in different counties and states reacted to the social distancing guidelines was developed with the support of the National Science Foundation (NSF). The web portal integrates geographic information systems (GIS) and daily updated human mobility statistical patterns derived from large-scale anonymized and aggregated smartphone location big data at the county-level in United States. It aims to increase risk awareness of the public, support governmental decision-making, and help enhance community responses to the COVID-19 pandemic.

Keywords: COVID-19, GIS, Mobile Location Data, Human Mobility, Social Distancing, Physical Distancing, Coronavirus

JEL Classification: I1

Suggested Citation

Gao, Song and Rao, Jinmeng and Kang, Yuhao and Liang, Yunlei and Kruse, Jake, Mapping County-Level Mobility Pattern Changes in the United States in Response to COVID-19 (April 2, 2020). Available at SSRN: https://ssrn.com/abstract=3570145 or http://dx.doi.org/10.2139/ssrn.3570145

Song Gao (Contact Author)

University of Wisconsin-Madison ( email )

716 Langdon Street
Madison, WI 53706-1481
United States

Jinmeng Rao

University of Wisconsin-Madison ( email )

716 Langdon Street
Madison, WI 53706-1481
United States

Yuhao Kang

University of Wisconsin-Madison ( email )

716 Langdon Street
Madison, WI 53706-1481
United States

Yunlei Liang

University of Wisconsin-Madison ( email )

716 Langdon Street
Madison, WI 53706-1481
United States

Jake Kruse

University of Wisconsin-Madison ( email )

716 Langdon Street
Madison, WI 53706-1481
United States

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