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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Dec 18, 2020
Date Accepted: Mar 23, 2021
Date Submitted to PubMed: Apr 12, 2021

The final, peer-reviewed published version of this preprint can be found here:

Machine Learning–Based Prediction of Growth in Confirmed COVID-19 Infection Cases in 114 Countries Using Metrics of Nonpharmaceutical Interventions and Cultural Dimensions: Model Development and Validation

Yeung AY, Roewer-Despres F, Rosella L, Rudzicz F

Machine Learning–Based Prediction of Growth in Confirmed COVID-19 Infection Cases in 114 Countries Using Metrics of Nonpharmaceutical Interventions and Cultural Dimensions: Model Development and Validation

J Med Internet Res 2021;23(4):e26628

DOI: 10.2196/26628

PMID: 33844636

PMCID: 8074952

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Per the author's request this version is not available.