As mentioned previously, I am working on create a seasonal-SIR(SIRS) model with macpan and maybe add it to the model library later. The primary draft model can be found here in the folder.
Current idea is to generate a time-varying, periodical, cosine shaped $\beta(t)$ for each time step in the during phase, such that:
$$
\beta(t)=\beta_1+\frac{cos(2\pi \cdot t/period)+1}{2} \cdot (\beta_2-\beta_1)
$$
A small issue I have for now is the time variable $t$. I am using $t \sim t+1$ for each time step in during phase which is not ideal.
It seems that time_step(0) should be the intrinsic way to have $t$ with no lag, am I right? If so, I suggest adding a stand alone topic with example and explanation into the documents and future workshops would be helpful for illustration. I could create an example in the seasonal-SIR model example when adding it to the library.
As mentioned previously, I am working on create a seasonal-SIR(SIRS) model with macpan and maybe add it to the model library later. The primary draft model can be found here in the folder.
Current idea is to generate a time-varying, periodical, cosine shaped$\beta(t)$ for each time step in the during phase, such that:
A small issue I have for now is the time variable$t$ . I am using $t \sim t+1$ for each time step in during phase which is not ideal.
It seems that time_step(0) should be the intrinsic way to have$t$ with no lag, am I right? If so, I suggest adding a stand alone topic with example and explanation into the documents and future workshops would be helpful for illustration. I could create an example in the seasonal-SIR model example when adding it to the library.