Real-time, interactive website for US-county-level COVID-19 event risk assessment

Aroon Chande, Seolha Lee, Mallory Harris, Quan Nguyen, Stephen J. Beckett, Troy Hilley, Clio Andris () and Joshua S. Weitz ()
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Aroon Chande: Georgia Institute of Technology
Seolha Lee: Georgia Institute of Technology
Mallory Harris: Stanford University
Quan Nguyen: Georgia Institute of Technology
Stephen J. Beckett: Georgia Institute of Technology
Troy Hilley: Georgia Institute of Technology
Clio Andris: Georgia Institute of Technology
Joshua S. Weitz: Georgia Institute of Technology

Nature Human Behaviour, 2020, vol. 4, issue 12, 1313-1319

Abstract: Abstract Large events and gatherings, particularly those taking place indoors, have been linked to multitransmission events that have accelerated the pandemic spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). To provide real-time, geolocalized risk information, we developed an interactive online dashboard that estimates the risk that at least one individual with SARS-CoV-2 is present in gatherings of different sizes in the United States. The website combines documented case reports at the county level with ascertainment bias information obtained via population-wide serological surveys to estimate real-time circulating, per-capita infection rates. These rates are updated daily as a means to visualize the risk associated with gatherings, including county maps and state-level plots. The website provides data-driven information to help individuals and policy makers make prudent decisions (for example, increasing mask-wearing compliance and avoiding larger gatherings) that could help control the spread of SARS-CoV-2, particularly in hard-hit regions.

Date: 2020
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DOI: 10.1038/s41562-020-01000-9

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