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

Authors’ Response to Peer Reviews

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



These are the 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.

Anonymous [2]

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.

Anonymous [3]

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.

  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. 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. 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.