Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Likelihood for multi-type clusters #15

Open
adamkucharski opened this issue Nov 24, 2022 · 1 comment
Open

Likelihood for multi-type clusters #15

adamkucharski opened this issue Nov 24, 2022 · 1 comment
Labels
enhancement New feature or request

Comments

@adamkucharski
Copy link
Member

It's also possible to define a likelihood for multi-type branching process for age-stratified data (Kucharski et al, PLOS Comp Biol, 2015, which is particularly relevant if the population introducing the infection is very different to that driving human-to-human transmission (e.g. older individuals more likely to be index cases for MERS-CoV).

There's a (not particularly tidy) implementation here: https://github.com/adamkucharski/subcritical_chains, which could also be combined with socialmixr.

If multi-type inference not a priority, it may be worth considering a multi-type simulation process for age-stratified social mixing data in meantime (currently implemented as simulate.data() in above repo.

@sbfnk
Copy link
Contributor

sbfnk commented Jan 12, 2023

That is a nice idea if a fairly substantial extension - would require some thinking about the best user interface.

@sbfnk sbfnk added the enhancement New feature or request label Jan 12, 2023
@jamesmbaazam jamesmbaazam transferred this issue from epiforecasts/bpmodels May 2, 2023
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement New feature or request
Projects
None yet
Development

No branches or pull requests

2 participants