Risk of a second wave of Covid-19 infections: using artificial intelligence to investigate stringency of physical distancing policies in North America.

Journal: International orthopaedics

PMID: 32504213

Abstract

PURPOSE: Accurately forecasting the occurrence of future covid-19-related cases across relaxed (Sweden) and stringent (USA and Canada) policy contexts has a renewed sense of urgency. Moreover, there is a need for a multidimensional county-level approach to monitor the second wave of covid-19 in the USA.

Authors

Shashank Vaid

DeGroote School of Business, McMaster University, 1280 Main Street W, Hamilton, Ontario, L8S 4 M4, Canada. vaids1@mcmaster.ca.
Aaron McAdie

Clinical Analytics, Seattle Children's Hospital, Seattle, WA, USA.
Ran Kremer

Kofkin Faculty of Engineering, Bar-Ilan University, Ramat Gan, Israel.
Vikas Khanduja

Addenbrooke's Hospital, University of Cambridge, Cambridge, UK.
Mohit Bhandari

Department of Surgery, McMaster University, Hamilton, Ontario, Canada.

Keywords

Artificial Intelligence Bayes Theorem Betacoronavirus Canada Coronavirus Infections COVID-19 Humans Pandemics Physical Distancing Physical Examination Pneumonia, Viral Risk Factors SARS-CoV-2 Sweden Telemedicine United States

External Resources

View on PubMed Access via DOI PubMed (32504213)

Risk of a second wave of Covid-19 infections: using artificial intelligence to investigate stringency of physical distancing policies in North America.

Abstract

Authors

Keywords

External Resources

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