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Peer Reviews (221)

Published on in Vol 2, No 1 (2021): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27260, first published .
Peer Review of “A Framework for a Statistical Characterization of Epidemic Cycles: COVID-19 Case Study”

Peer Review of “A Framework for a Statistical Characterization of Epidemic Cycles: COVID-19 Case Study”

Peer Review of “A Framework for a Statistical Characterization of Epidemic Cycles: COVID-19 Case Study”

Authors of this article:

Mo Salman1 Author Orcid Image
Article Authors Cited by (1) Tweetations (1) Metrics

    Peer-Review Report


    This is a peer review submitted for the paper “A Framework for a Statistical Characterization of Epidemic Cycles: COVID-19 Case Study.”


    General Comments

    It seems that the aim of this submission [1] 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.

    Specific Comments

    1. The aim of the study should be stated in a precise statement with supportive ways to test the underlying hypothesis;
    2. Details of the analytical approach should be given with its assumptions and limitations;
    3. Sources of the data with overall reliability can be detailed;
    4. Use the appropriate and conventional terms of infectious diseases by checking the contents of the submission with reliable epidemiologists.

    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

    None declared.

    1. De Carvalho EA, De Carvalho RA. A Framework for a Statistical Characterization of Epidemic Cycles: COVID-19 Case Study. JMIRx Med 2021 Mar 18;2(1):e22617 [FREE Full text] [CrossRef]

    Edited by E Meinert; This is a non–peer-reviewed article. submitted 18.01.21; accepted 27.01.21; published 18.03.21

    Copyright

    ©Mo Salman. Originally published in JMIRx Med (https://med.jmirx.org), 18.03.2021.

    This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the JMIRx Med, is properly cited. The complete bibliographic information, a link to the original publication on http://med.jmirx.org/, as well as this copyright and license information must be included.