Multi-Model Selection and Analysis for COVID-19
Round 1
Reviewer 1 Report
The aim of this paper is to focus on the integer-order and fractional-order SIR, SEIR, SEIR-Q, SEIR-QD and SEIR-AHQ models of COVID-19. The cases study is China. By a comparative study the authors have tried to show the ability and efficiency of the study to show that the fractional models perform much better than the corresponding integer-order models in representing the epidemiological information contained in the data. I have studied the paper and this paper can be published after the following revisions:
1- I believe that the introduction can be improved by adding more background. Please cite the following references: New Procedures
of a Fractional Order Model of Novel coronavirus (COVID-19)
Outbreak via Wavelets Method. Axioms 2021, 10, 122. https://doi.org/
10.3390/axioms10020122 and A Novel Technique to Control the Accuracy of a Nonlinear Fractional Order Model of COVID-19: Application of the CESTAC Method and the CADNA Library. Mathematics 2021, 9, 1321. https://doi.org/
10.3390/math9121321
2- Please add some new sentences to clarify the physical meaning of fractional order derivative.
3- In the second section's title, please change "Fractiona" to "Fractional".
4- After models you have to describe all parameters and functions.
5- The stability of the model and existence of solution must be added. At least you should cite some references.
6- It not clear that the authors have applied the simulated data or real!!
7- What is the order q in the graphs?
I propose a major revision.
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
Reviewer 2 Report
All comments and suggestions are presented in the attached file.
Comments for author File: Comments.pdf
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
Round 2
Reviewer 1 Report
I do not have more comments on this paper.
Reviewer 2 Report
I checked the revised version very carefully; I recommend it for publication in its present form