Open adamkucharski opened 7 months ago
I've added a draft vignette on CFR outlining how to handle these specific scenarios:
Tagging @ntncmch and @PaulC91, as this should solve problem (1) for cholera outlined here: https://github.com/epiverse-trace/simulist/issues/36
Create a how to (or maybe paper) summarising the below:
https://github.com/epiverse-trace/epiparameter/issues/250
Some specific questions:
Individual level data with known delays and missing values. How bad is the estimate if we use simple assumption (e.g. unknown = survive) - (cholera): https://github.com/epiverse-trace/simulist/issues/36
Individual level data with different delays to outcomes. If assume delay is the same, how bad is the approximation? (Ebola): https://github.com/epiverse-trace/simulist/issues/36
Individual level data with unknown delays but some truncation. How good are simple methods to estimate delays: https://github.com/epiverse-trace/epiparameter/issues/250 and how accurate are subsequent predictions about number and timing of outcomes? E.g. https://github.com/epiverse-trace/cfr/issues/14
Incidence data with aggregated reported. Whether cases, deaths, both. How good is recovery of daily incidence and CFR calculation? https://github.com/CarmenTamayo/Applications-Epiverse-pipelines/blob/ctc-edits/EpiEstim_cfr_estimation.R
Incidence data with known delays. How good is CFR estimation if use continuous distribution rather than discrete: https://github.com/epiverse-trace/cfr/issues/115