Expandify implementation notes

Irena Papst

A place to keep notes on expandify implementation (ageify, vaxify) assumptions and future work (instead of relying on disparate FIXMEs).

Assumptions

General

distribute_counts() (via smart_round(): preferentially fills counts from right to left (e.g. in expand_state_age, counts from a specified state will be distributed from older age groups to younger)

Vaxify

expand_state_vax(): everyone starts in the unvaccinated compartment, regardless of epi status or point in the epidemic.
- Can we actually already get around this by specifying make_state(x = vec)?
mk_vaxrates(): we need to know (or be able to calculate the number of doses per day administered to each subgroup (e.g. age category) of the population.

To fix/do

condense_vax(): make it work for ageified case (don’t condense over age groups)
mk_vaxrates(): check that it works for ageified parameters (specifically the doses_per_day/params[["N"]] calculation, since this is a vector divided by a vector)

Questions (for Ben)

I have a choice between handling the calculation of per capita daily vaccination rates as a pre-processing step or in the sim… does it matter for timepars or calibrate when these rates are calculated?