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View Code? Open in Web Editor NEWturnover in epidemic models: a unified framework and exploring the influence on model outputs
turnover in epidemic models: a unified framework and exploring the influence on model outputs
Just as a comment to demonstrate in discussion or somewhere: this method is developed for all possible transition scenarios - however, in the real applications, certain transitions can be turned off (transition rate of 0) - e.g., MSM might not transition to HET unless bisexual.
Table 1:
What is the difference between None and N/A?
What do you mean by Constant?
Can you add footnote below the table to explain what exactly these papers have done?
2.3 Previous Approaches, para 2:
There still can be turnover between the major groups (for example, transition from HET to Injection drug use) - just as an example.
Box 1: Common assumptions...:
Can you elaborate on what do you mean by constant here? (you mean homogeneous rate across groups?)
and what do you mean by dynamic?
Table 1:
In the background, you mentioned 3 layers of risk group dynamics:
Can you include the third layer in the table too (how to balance group due to differential HIV-related death)?
Background ROUGH:
This can be in the discussion section?
so Intro can be mostly focused on HIV transmission model - so it's easier for readers to understand by giving one specific example.
Its application for other disease can be discussed in the discussion section.
The System, para 2:
Does the exit rate includes all cause death rate? Or this is purely exit due to age>49?
Last sentence of 2.1, re. Eq. (2.5):
The latter however, requires another parameter (size of e relative to N - in this scenario, we assumed e=N); right?
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