Author Responses to Peer-Review Reports: https://med.jmirx.org/2021/1/e27537
Published Article: https://med.jmirx.org/2021/1/e22617
This is a peer review submitted for the paper “A Framework for a Statistical Characterization of Epidemic Cycles: COVID-19 Case Study.”
Round 1 Review
It seems that the aim of this submission  is to report a study conducted to show an approach for normalization epidemic curves from various countries using retrospective data, particularly from the city of Rio de Janeiro. The submission lacks a recognized structure to present a study with its aim and details of data sources. Furthermore, the submission includes some terms that are not appropriate for describing infectious disease in a population such as contamination and contamination cycle instead of exposure and infection rates.
- The aim of the study should be stated in a precise statement with supportive ways to test the underlying hypothesis;
- Details of the analytical approach should be given with its assumptions and limitations;
- Sources of the data with overall reliability can be detailed;
- Use the appropriate and conventional terms of infectious diseases by checking the contents of the submission with reliable epidemiologists.
Round 2 Review
I am satisfied with the modifications to the new version. Almost all of my concerns were addressed in the new version. I will let the readers decide about the validity of the model since the authors elaborated on the approach.
Conflicts of Interest
Edited by E Meinert; This is a non–peer-reviewed article. submitted 18.01.21; accepted 27.01.21; published 18.03.21Copyright
©Mo Salman. Originally published in JMIRx Med (https://med.jmirx.org), 18.03.2021.
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