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

Author

Listed:
  • Aroon Chande

    (Georgia Institute of Technology
    Applied Bioinformatics Laboratory)

  • 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
    Georgia Institute of Technology)

  • Joshua S. Weitz

    (Georgia Institute of Technology
    Georgia Institute of Technology)

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.

Suggested Citation

  • Aroon Chande & Seolha Lee & Mallory Harris & Quan Nguyen & Stephen J. Beckett & Troy Hilley & Clio Andris & Joshua S. Weitz, 2020. "Real-time, interactive website for US-county-level COVID-19 event risk assessment," Nature Human Behaviour, Nature, vol. 4(12), pages 1313-1319, December.
    • Handle: RePEc:nat:nathum:v:4:y:2020:i:12:d:10.1038_s41562-020-01000-9
    DOI: 10.1038/s41562-020-01000-9
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    Cited by:

    1. Stipic, Dorian & Bradac, Mislav & Lipic, Tomislav & Podobnik, Boris, 2021. "Effects of quarantine disobedience and mobility restrictions on COVID-19 pandemic waves in dynamical networks," Chaos, Solitons & Fractals, Elsevier, vol. 150(C).
    2. Francesco Furno, 2020. "The Testing Multiplier: Fear vs Containment," Papers 2012.03834, arXiv.org.
    3. Myles Ingram & Ashley Zahabian & Chin Hur, 2021. "Prediction of COVID-19 Social Distancing Adherence (SoDA) on the United States county-level," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-7, December.
    4. Olukayode James Ayodeji & Seshadri Ramkumar, 2021. "Effectiveness of Face Coverings in Mitigating the COVID-19 Pandemic in the United States," IJERPH, MDPI, vol. 18(7), pages 1-11, April.
    5. Jinat Ara & Cecilia Sik-Lanyi, 2022. "Investigation of COVID-19 Vaccine Information Websites across Europe and Asia Using Automated Accessibility Protocols," IJERPH, MDPI, vol. 19(5), pages 1-45, March.

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