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Calculate expected vaccinations and check model correctness #125
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Generally, we can't target Susceptibles specifically, and vaccination calendars are defined as the fraction of individuals in the full cohort vaccinated. Note that the above can be rewritten to the slightly simpler to understand form: |
Thanks @BlackEdder - I don't think I've understood. Are you suggesting that we should be able to calculate the effective vaccination rate? My understanding was that given a model structure, initial conditions, and a |
You are right, that this is a somewhat separate issue. It would be great to have an easy way to number of to calculate the expected number of individuals at time But I do think we should be expecting the user to only provide the fraction of individuals in the cohort to be vaccinated at each time step and then we can internally calculate the effective vaccination rate. Maybe we should split that discussion into a separate issue though? |
- Use data.table syntax from suggestion - Add tests for function - Revert snapshots from previous commit Fixes #125: Calculate expected vaccinations and check model correctness
This issue was raised by @BlackEdder in comments on issue #33.
It should be possible to calculate the number of individuals of each age group expected to be vaccinated for a single-dose vaccination regime, given enough susceptibles ($S$ ) in each group, as $\nu \times S \times$ vaccination interval (in days).
This issue is to request a function
f(vaccination, population)
that takes a<vaccination>
and<population>
, and calculates the expected number of vaccinated individuals. This should be used to check the correctness of epidemic model runs (of the 'default' model) that implement vaccination. This would only hold when assuming that the population has enough individuals to be vaccinated (i.e., not everyone is infected and thus considered ineligible for vaccination).The text was updated successfully, but these errors were encountered: