COMOKIT / COMOKIT-Model

A GAMA (http://gama-platform.org) model on the assessment and comparisons of intervention policies against the CoVid19 pandemics
https://comokit.org
GNU General Public License v3.0
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Temporal viral dynamic #50

Open chapuisk opened 2 years ago

chapuisk commented 2 years ago

Is your feature request related to a problem? Please describe. For now when an individual enter a state, it acquire all variables value that change once, and nothing (or so) is modified since another state shift happen. For instance when someone enter latent phase, viral load should increase slowly until a threshold is met, triggering state change (in this case becoming infectious); the same way when one enter infectious phase, viral load should quickly shift to its maximum and then decline/explode/etc.

Describe the solution you'd like Explicitly represent the disease states with viral load temporal dynamic, hence making it possible to anchor test results, state shift and infectiousness on dynamic variable, rather than the state per se

Describe alternatives you've considered Having various random value to represent heterogeneity between states (more viral load during infectious state) and individuals (more viral load for super spreaders)

Additional context When considering test failure and, in particular, false negatives, the timing of the test, that should reflect in very contrasting viral load, is quite important !