Peer-Review Report
Author Responses to Peer-Review Reports https://med.jmirx.org/2020/1/e24739/
Published Article https://med.jmirx.org/2020/1/e23582/
doi:10.2196/24765
Keywords
This is a peer review submitted for the paper “A Machine Learning Explanation of the Pathogen-Immune Relationship of SARS-CoV-2 (COVID-19), and a Model to Predict Immunity and Therapeutic Opportunity: A Comparative Effectiveness Research Study.”
General Comments
This paper is excellent and very timely given its importance as it relates to supporting forthcoming mass vaccinations to address COVID-19 and potential prioritization of such vaccinations based on the study findings.
Specific Comments
Major Comments
1. None
2. None
3. None
Minor Comments
4. Consider consistency of using COVID-19 vs SARS-CoV-2 (abstract vs text body).
Conflicts of Interest
None declared.
Edited by G Eysenbach; This is a non–peer-reviewed article. submitted 04.10.20; accepted 04.10.20; published 19.10.20
Copyright©Eric Abbott. Originally published in JMIRx Med (https://med.jmirx.org), 19.10.2020.
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