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Real-time, interactive website for US-county-level COVID-19 event risk assessment.
Chande, Aroon; Lee, Seolha; Harris, Mallory; Nguyen, Quan; Beckett, Stephen J; Hilley, Troy; Andris, Clio; Weitz, Joshua S.
  • Chande A; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA.
  • Lee S; Applied Bioinformatics Laboratory, Atlanta, GA, USA.
  • Harris M; School of City and Regional Planning, Georgia Institute of Technology, Atlanta, GA, USA.
  • Nguyen Q; Department of Biology, Stanford University, Palo Alto, CA, USA.
  • Beckett SJ; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA.
  • Hilley T; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA.
  • Andris C; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA.
  • Weitz JS; School of City and Regional Planning, Georgia Institute of Technology, Atlanta, GA, USA. clio@gatech.edu.
Nat Hum Behav ; 4(12): 1313-1319, 2020 12.
Article in English | MEDLINE | ID: covidwho-917534
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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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Medical Informatics Applications / Risk Assessment / Spatial Analysis / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: North America Language: English Journal: Nat Hum Behav Year: 2020 Document Type: Article Affiliation country: S41562-020-01000-9

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Medical Informatics Applications / Risk Assessment / Spatial Analysis / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: North America Language: English Journal: Nat Hum Behav Year: 2020 Document Type: Article Affiliation country: S41562-020-01000-9