Here are the questions we collected and answers replied by the presenter: Q1: As for the modification of the SEIR model, what are the assumptions? For example, is the infection rate or recovery rate of the coronavirus constant in every stage? Does everyone encounter the same number of people everyday? Is population flow or "super spreader" considered? Thank you very much for your attention to my article. Here are some assumptions about the model. Firstly, we assume that the infection rate and recovery rate of the coronavirus are constant in every stage. Because it is now generally accepted that the coronavirus behaves the same in all stages and that the preventive and treatment measures are basically the same within one population. Secondly, we believe that the number of people that can be encountered depends primarily on whether they are quarantined or not, so we only make a distinction between people who are quarantined and those who are not. Thirdly, the existence of super spreaders is temporarily ignored because the proportion of super spreaders in the group is not obtained. Of course, these assumptions make this model a little rough. I sincerely hope that you can put forward some suggestions for improvement, and I will study them carefully.
Here are the questions we collected and answers replied by the presenter:
Q1: As for the modification of the SEIR model, what are the assumptions? For example, is the infection rate or recovery rate of the coronavirus constant in every stage? Does everyone encounter the same number of people everyday? Is population flow or "super spreader" considered?
Thank you very much for your attention to my article. Here are some assumptions about the model.
Firstly, we assume that the infection rate and recovery rate of the coronavirus are constant in every stage. Because it is now generally accepted that the coronavirus behaves the same in all stages and that the preventive and treatment measures are basically the same within one population.
Secondly, we believe that the number of people that can be encountered depends primarily on whether they are quarantined or not, so we only make a distinction between people who are quarantined and those who are not.
Thirdly, the existence of super spreaders is temporarily ignored because the proportion of super spreaders in the group is not obtained.
Of course, these assumptions make this model a little rough. I sincerely hope that you can put forward some suggestions for improvement, and I will study them carefully.