Implement overdispersed SIR and SEIR models #2451
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martinjankowiak
previously approved these changes
Apr 28, 2020
| distribution acts as an overdispersed Binomial distribution, adapting the | ||
| more standard NegativeBinomial distribution that acts as an overdispersed | ||
| Poisson distribution [1,2] to the setting of finite populations. To | ||
| preserve Markov structure, we follow [2] and assume all infections by a |
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To preserve Markov structure, we follow [2] and assume all infections by a single individual occur on the single time step where that individual makes an
I -> Rtransition.
can you please explain in more detail?
martinjankowiak
approved these changes
Apr 29, 2020
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Thanks for reviewing! |
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Addresses #2426
This adds two new compartmental models with overdispersed infection distributions to model superspreading individuals.
Tested
examples/contrib/epidemiology/sir.py