Worldwide spatial analysis with SIR-derived models

[lisphilar]

In #426, @Aminolroaya commented as follows.

I want to simulate the worldwide spatiotemporal spread considering the control of parameters. For example, based on real data, the disease first was reported in China in Dec 2019. Then, Japan and Taiwan reported the disease, I think, about Jan 2020, and so on. In the real case, the spread in countries is related to each other and we do not consider countries independent. The timeline of reported cases in space and time based on countries is important for me.

Spatial analysis is necessary to understand the situations deeply because travel is a key factor of outbreak. However, this is not implemented at this time and we have many steps to implement this feature. For example, we will find solutions to apply injections to SIR-F model.

Here, we will create a plan to implement this new feature.

[lisphilar]

As @Inglezos commented on #426, the following sites will be useful to find solutions.
https://pubmed.ncbi.nlm.nih.gov/27796478/
https://en.wikipedia.org/wiki/Spatial_epidemiology

[lisphilar]

Alternative:
Predict the ODE parameter values in a country using those in the other countries.