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Accepted for/Published in: JMIRx Med

Date Submitted: Jan 11, 2021
Date Accepted: Jan 11, 2021

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

Peer Review of “Evaluating Population Density as a Parameter for Optimizing COVID-19 Testing: Statistical Analysis”

Anonymous RB

Peer Review of “Evaluating Population Density as a Parameter for Optimizing COVID-19 Testing: Statistical Analysis”

JMIRx Med 2021;2(1):e27103

DOI: 10.2196/27103

PMCID: 10414347

This is a peer review report to be published as anonymous. No identifying information from the metadata should be published except for the name of "Anonymous"

  • Reviewer BJ Anonymous

ABSTRACT

This is a peer review report for MS#22195.


 Citation

Please cite as:

Anonymous RB

Peer Review of “Evaluating Population Density as a Parameter for Optimizing COVID-19 Testing: Statistical Analysis”

JMIRx Med 2021;2(1):e27103

DOI: 10.2196/27103

PMCID: 10414347

The author of this paper has made a PDF available, but requires the user to login, or create an account.

OR

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.