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Original Research
Beyond Predicting the Number of Infections: Predicting Who is Likely to Be COVID Negative or Positive
Stephen X Zhang1 Faculty of the Professions, University of Adelaide, Adelaide, SA, AustraliaCorrespondence[email protected]
https://orcid.org/0000-0001-6123-1193View further author information
Shuhua Sun2 A. B. Freeman School of Business, Tulane University, New Orleans, LA, USA
https://orcid.org/0000-0003-2058-7649View further author information
Asghar Afshar Jahanshahi3 CENTRUM Católica Graduate Business School (CCGBS), Pontificia Universidad Católica del Perú (PUCP), Lima, Peru
https://orcid.org/0000-0003-2241-9913View further author information
Yifei Wang4 School of Economics and Management, Tongji University, Shanghai, People’s Republic of ChinaView further author information
, Abbas Nazarian Madavani5 Faculty of Sport Sciences, Shahid Rajaee Teacher Training University, Tehran, Iran
https://orcid.org/0000-0003-1219-5389View further author information
Jizhen Li6 School of Economics & Management, Tsinghua University, Beijing, People’s Republic of China
https://orcid.org/0000-0003-1940-5633View further author information
Maryam Mokhtari Dinani7 Faculty of Sport Sciences, Alzahra University, Tehran, Iran
https://orcid.org/0000-0003-0621-2760View further author information
Pages 2811-2818
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Published online: 03 Dec 2020
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