Abstract
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”
Highlights
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”
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 grateful for the time they have devoted to this paper
Summary
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”. Related Articles: Preprint: https://preprints.jmir.org/preprint/21044 Peer-Review Report by Anonymous: https://med.jmirx.org/2021/1/e28679/ Peer-Review Report by Anonymous: https://med.jmirx.org/2021/1/e28741/ Published Article: https://med.jmirx.org/2021/1/e21044/ This is a corrected version. COVID-19; prediction; singular spectrum analysis; separability; eigenvalues; Saudi Arabia 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].
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