JMed JMIRx Med JMIRx Med 2563-6316 JMIR Publications Toronto, Canada v2i1e27257 10.2196/27257 Peer-Review Report Peer-Review Report Peer Review of “Evaluating Population Density as a Parameter for Optimizing COVID-19 Testing: Statistical Analysis” Meinert Edward Allam Ayman A MD 1
Faculty of Medicine Zagazig University Department of Medical Microbiology and Immunology, Faculty of Medicine, University of Zagazig Zagazig Egypt 20 055 2474559 egyayman66@yahoo.com
https://orcid.org/0000-0002-6726-089X Faculty of Medicine Zagazig University Zagazig Egypt Jan-Mar 2021 3 2 2021 2 1 e27257 18 1 2021 18 1 2021 ©Ayman A Allam. Originally published in JMIRx Med (https://med.jmirx.org), 03.02.2021. 2021

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 https://preprints.jmir.org/preprint/22195 https://med.jmirx.org/2021/1/e27258/ https://med.jmirx.org/2021/1/e22195/ infectious diseases COVID-19 SARS-CoV2 coronarvirus

This is a peer review submitted for the paper “Evaluating Population Density as a Parameter for Optimizing COVID-19 Testing: Statistical Analysis.”

Round 1 Review General Comments

In this paper [1], the authors prospectively analyzed COVID-19 data obtained from 67 Alabama counties using testing realignment along population density instead of density agnostic per capita. They concluded that adjusting the distribution of testing capacity to also account for population density will improve monitoring and response to blunt the speed and spread of the virus.

Generally, the manuscript is properly structured and well understood.

 Specific Comments Minor Comments

Change the subtitle “Policy Proposal” to “Introduction” or “Background.”

None declared.

 Budhwani KI Budhwani H Podbielski B Evaluating Population Density as a Parameter for Optimizing COVID-19 Testing: Statistical Analysis JMIRx Med 2021 2 1 e22195 10.2196/22195