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Article
Peer-Review Record

The Structural Identifiability of a Humidity-Driven Epidemiological Model of Influenza Transmission

Viruses 2022, 14(12), 2795; https://doi.org/10.3390/v14122795
by Chunyang Zhang 1,2,†, Xiao Zhang 3,†, Yuan Bai 2,3,*, Eric H. Y. Lau 2,3 and Sen Pei 4
Reviewer 1:
Reviewer 2:
Viruses 2022, 14(12), 2795; https://doi.org/10.3390/v14122795
Submission received: 28 October 2022 / Revised: 8 December 2022 / Accepted: 10 December 2022 / Published: 15 December 2022
(This article belongs to the Special Issue Infectious Disease Epidemiology and Transmission Dynamics)

Round 1

Reviewer 1 Report

The author made a good try at applying the scaling method to analyze the structural identification of the humidity-driven epidemiological model. This is helpful for the filed although the novelty is not that big. I have no further questions right now.

Author Response

 

 

 

Author Response File: Author Response.zip

Reviewer 2 Report

The research question is well defined, and the methods and results are accurate and thoroughly presented.  The scope of the study is very limited -- it only shows structural identifiability for a single model, and does not address practical identifiability at all (although this is identified as future work).  As a result, it is very brief even for a brief report.

The English could be edited to be clearer -- sometimes there are missing/extra words, perhaps because the sentences are very long.  For example, lines 34-37 could be rewritten as "However, the model structure identifiability needs to be tested to avoid the optimization algorithm falling into a set of locally optimal solution when existing multiple sets of locally optimal solution in the search space without a global optimal solution." -- should this not be something like

"However, the model structure identifiability needs to be tested to avoid the optimization algorithm falling into a locally optimal solution rather than a global optimal solution.  This can occur when there are multiple locally optimal solutions and a single global optimal solution."?

Does Case 2 not follow trivially from Case 1, since b = log ( R 0max − R 0min ) has a unique solution for R_0max given b and R_0min?

Also, Theorems A1 and A2 are not used and should be removed.

Author Response

 

 

Author Response File: Author Response.zip

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