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Peer Reviews (226)

Published on in Vol 3, No 2 (2022): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38420, first published .
Peer Review of “Modeling Years of Life Lost Due to COVID-19, Socioeconomic Status, and Nonpharmaceutical Interventions: Development of a Prediction Model”

Peer Review of “Modeling Years of Life Lost Due to COVID-19, Socioeconomic Status, and Nonpharmaceutical Interventions: Development of a Prediction Model”

Peer Review of “Modeling Years of Life Lost Due to COVID-19, Socioeconomic Status, and Nonpharmaceutical Interventions: Development of a Prediction Model”

Authors of this article:

Anonymous1
Article Authors Cited by (1) Tweetations (2) Metrics

    Peer-Review Report

    Related ArticlesPreprint (medRxiv): https://www.medrxiv.org/content/10.1101/2021.04.23.21256005v1
    Preprint (JMIR Preprints): https://preprints.jmir.org/preprint/30144
    Authors' Response to Peer-Review Reports: https://med.jmirx.org/2022/2/e38008/
    Published Article: https://med.jmirx.org/2022/2/e30144/
    JMIRx Med 2022;3(2):e38420

    doi:10.2196/38420

    Keywords

    COVID-19; pandemic; socioeconomic status; mortality; nonpharmaceutical interventions; prediction model; low-income status; life expectancy; public health; income groups 

    This is a peer-review report submitted for the paper “Modeling Years of Life Lost Due to COVID-19, Socioeconomic Status, and Nonpharmaceutical Interventions: Development of a Prediction Model.”


    This paper [1] develops a model that compares the years of life lost (YLL) due to COVID-19 and the potential YLL due to the socioeconomic consequences of its containment. The results highlight the importance of socioeconomic status (SES) in evaluating the effect of nonpharmaceutical interventions (NPIs) during COVID-19. However, the methods, especially the empirical sample characteristics from which the life table is derived, are not clear.

    Specific Comments

    Major Comments

    1. Needs to describe more about the data, study design, and study sample in more detail

    2. Needs to discuss how the missing data was handled

    3. It is important to consider a theoretical framework that can guide the selection of NPIs, indicators of SES, and the equivalent socioeconomic damages (on page 11). Right now, it is more arbitrary than scientific based.

    4. The Discussion also needs to consider other factors (eg, pre-existing conditions, neighborhood resources, or occupation types). These are important social determinants of health factors

    Minor Comments

    1. The tables need to be adjusted in terms of the decimal points and more informative legends to guide readers.

    Conflicts of Interest

    None declared.

    1. John J. Modeling years of life lost due to COVID-19, socioeconomic status, and nonpharmaceutical interventions: development of a prediction model. JMIRx Med 2022;3(2):e30144 [FREE Full text]

    ‎
    NPI: nonpharmaceutical intervention
    SES: socioeconomic status
    YLL: years of life lost

    Edited by E Meinert; This is a non–peer-reviewed article. submitted 31.03.22; accepted 31.03.22; published 12.04.22

    Copyright

    © Anonymous. Originally published in JMIRx Med (https://med.jmirx.org), 12.04.2022.

    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 JMIRx Med, is properly cited. The complete bibliographic information, a link to the original publication on https://med.jmirx.org/, as well as this copyright and license information must be included.