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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28742, first published .
Author’s Responses to Peer Reviews of “Forecasting the COVID-19 Pandemic in Saudi Arabia Using a Modified Singular Spectrum Analysis Approach: Model Development and Data Analysis”

Author’s Responses to Peer Reviews of “Forecasting the COVID-19 Pandemic in Saudi Arabia Using a Modified Singular Spectrum Analysis Approach: Model Development and Data Analysis”

Author’s Responses to Peer Reviews of “Forecasting the COVID-19 Pandemic in Saudi Arabia Using a Modified Singular Spectrum Analysis Approach: Model Development and Data Analysis”

Authors of this article:

Nader Alharbi 1 Author Orcid Image

Peer Review Report

King Saud bin Abdulaziz University for Health Sciences, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia

Corresponding Author:

Nader Alharbi, PhD

King Saud bin Abdulaziz University for Health Sciences

King Abdullah International Medical Research Center

Prince Mutib Ibn Abdullah Ibn Abdulaziz Rd, Ar Rimayah

Riyadh

Saudi Arabia

Phone: 966 114299999 ext 95590

Email: alharbina@ksau-hs.edu.sa



Author's response to peer reviews for “Forecasting the COVID-19 Pandemic in Saudi Arabia Using a Modified Singular Spectrum Analysis Approach: Model Development and Data Analysis”.


First, I wish to thank the editor and all the reviewers for their enlightening comments and observations, which I strongly believe have increased the quality of this manuscript [1]. I am indeed grateful for the time they have devoted to this paper. I hope you will be pleased to learn that I have taken on board and addressed all observations and comments.

Reviewer FO

Specific Comments
  1. Thank you for this comment [2]. I have revised the discussion of the singular spectrum analysis technique and COVID-19 cases according to the referee’s suggestion, and I added more information and citations.
  2. I appreciate the reviewer’s insightful comment. The test was used, and the results are provided. The recommended paper and another related paper were cited.

Reviewer GQ

General Comments

Thank you for pointing out the formatting issues to me [3]. I agree, they must have been due to a formatting bug during submission. I hope now you will be pleased, as I have addressed all observations and submitted the paper as a Word file.


I appreciate the reviewer’s insightful comments and suggestions.

1. The whole manuscript has been reviewed and edited by a native speaker as suggested.

2. Moreover, the references have been removed from the Abstract and added to the Introduction section.

References

  1. Alharbi N. Forecasting the COVID-19 Pandemic in Saudi Arabia Using a Modified Singular Spectrum Analysis Approach: Model Development and Data Analysis. JMIRx Med 2021 Mar 31;2(1):e21044 [FREE Full text] [CrossRef]
  2. Anonymous Reviewer FO. Peer review of "Forecasting the COVID-19 Pandemic in Saudi Arabia Using a Modified Singular Spectrum Analysis Approach: Model Development and Data Analysis". JMIRx Med 2021 Mar 31;2(1):e28741 [FREE Full text] [CrossRef]
  3. Anonymous Reviewer GQ. Peer review of "Forecasting the COVID-19 Pandemic in Saudi Arabia Using a Modified Singular Spectrum Analysis Approach: Model Development and Data Analysis". JMIRx Med 2021 Mar 31;2(1):e28679 [FREE Full text] [CrossRef]

Edited by E Meinert; This is a non–peer-reviewed article. submitted 12.03.21; accepted 12.03.21; published 31.03.21

Copyright

©Nader Alharbi. Originally published in JMIRx Med (https://med.jmirx.org), 31.03.2021.

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 https://med.jmirx.org/, as well as this copyright and license information must be included.