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springer-math / Mathematics-of-Epidemics-on-Networks

Source code accompanying 'Mathematics of Epidemics on Networks' by Kiss, Miller, and Simon http://www.springer.com/us/book/9783319508047 . Documentation for the software package is at https://epidemicsonnetworks.readthedocs.io/en/latest/
MIT License
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Heterogeneous infectivity simulation #82

Closed mauimoana closed 2 years ago

mauimoana commented 2 years ago

Hi Dr. Joel C Miller,

I was wondering is there any function of EoN for heterogeneous infectivity implementation?

Thank you for your time.

joelmiller commented 2 years ago

Yes it is possible to do this. You have to do more work - you'll have to define . This example has 2 subgroups and one group is more infectious than the other other. https://epidemicsonnetworks.readthedocs.io/en/latest/examples/bipartite.html

If you can tell me a bit more about what you have in mind I may be able to help out more.

mauimoana commented 2 years ago

Thank you for your reply. As some papers present, the distribution of number of secondary cases for Cov-19 is fat-tailed.  Thus, it seems better to implement this as heterogeneous infectivity, such as gamma-distributed infectivity. The module you mentioned above seems to simulate the diseases like HIV which men and women have different infectivity.

Thank you for your help. Best wishes.