The COVID-19 Epidemic Spreading Effects

Suggestions for Authors

Response

Under "3. Descriptive Statistics" the classification of variables into three types is stated.  Can a column be used in Table 1 to classify the variables?

Thanks for your suggestion. A column is added as the “variable type” in Table 1. Please refer to Line 252.

There is no graph (e.g. scatterplot matrix) to illustrate the relationship between the variables. Probably, one would help improve the presentation.

Thanks for your suggestion. A graph is added as “Figure 3” in the text revised. Pleas refer to Line 281 and Line 296.

There seems to be missing data in the presentation to help readers connect the variables with particular cities mentioned in the Discussion. It is suggested that the real figures per city can be appended (e.g. density of population in Taipei City; forest area..etc).

Thanks for your suggestion. An appendix is added as a supplementary connection with particular cities in the text revised. Please refer to Line 480.

Suggestions for Authors

Response

This manuscript is based on a very interesting perspective and we think it is very useful.

Thank you for your recognition of this article.

1)

Why did you choose to include COVID-19 patient data from January 1, 2022 to May 4, 2022, even though some previous statistical data may be available? It would be good to mention the reason for this.

Thanks for your suggestion. The Covid-19 confirmed data during this period is selected because the official release date started on January 1, 2022, and the information is updated daily. The epidemic during this period already contained preliminary virus variants. Please refer to the footnote 2 at Line 224.

2)

Should the influence of COVID variant characteristics be considered?

Thanks for your suggestion. The epidemic during this period already contained preliminary virus variants. Please refer to the footnote 2 at Line 224.

3)

Isn't it assumed that the degree of influence of the presented URBAN DEVELOPMENT INDICATORS depends on the absolute number of affected patients? We have the impression that the impact of the indicators increases exponentially with the number of patients. It would be even better if the authors' views on this point were presented.

Thanks for your suggestion. This study uses linear spatial regression model to estimate the spatial effects impacted from urban development, even if rapid increase in the number of infected people the result finds that urban development indicators significantly affect the number of con-firmed Covid-19 cases. Please refer to Line 270-273 of the txt revised.

Suggestions for Authors

Response

1. In section 2 (Materials and Methods), the contents from line 58 to line 132 are not related to the "Methodology," they either excluded or extensively revised and included within the introduction part.

Thanks for your suggestion. The content of Line 58 to Line 132 of the manuscript is revised and moved to “1. Introduction”. Please refer to the contents from Line 41 to Line 115 of the text revised.

2. In section 5 (Conclusion), this part should be revised with emphasis on what is found in the outcomes of the data analysis.

Thanks for your suggestion. A supplementary note is added in section 5. Please refer to Line 326-333.

3. The author does not specify the limitations of the study, which is critical for better understanding of the study outcomes.

Thanks for your suggestion. A supplementary note is added as limitation of this study in section 1. Please refer to Line 131-135.