Difference between revisions of "SEIVAgent IBM Epidemic Simulator"
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The SEIVAgent Simulator is software to accompany ''Getz, et. al.,Adaptive vaccination may be needed to eliminate COVID-19: Results from a runtime-alterable strain-drift and waning-immunity model, https://doi.org/10.1101/2021.06.07.21258504''. Complete documentation for the application is contained in the latter. This User Guide provides general instructions for using the program, together with some example runs from the paper. | The SEIVAgent Simulator is software to accompany ''Getz, et. al.,Adaptive vaccination may be needed to eliminate COVID-19: Results from a runtime-alterable strain-drift and waning-immunity model, https://doi.org/10.1101/2021.06.07.21258504''. Complete documentation for the application is contained in the latter. This User Guide provides general instructions for using the program, together with some example runs from the paper. | ||
===Using SEIVAgent=== | |||
SEIVAgent simulates an epidemic spreading over a population of individuals. Individuals states include '''S''' (susceptible), '''E''' (exposed), '''I''' (infectious), '''V''' (vaccinated, immune) and '''D''' (dead). A set of 18 parameters govern the epidemic over a course of time units (days, weeks, etc.) | |||
The program models both the initial infection and emerging variants. Each individual is currently in some state with respect to each of the variants. Variants are numbered 0 to 2<sup><var>n</var></sup> - 1 for some fixed <var>n</var>. | |||
SEIVAgent is initialed with a given population size and a single individual in state '''I''' with respect to the initial strain (variant 0). All other individuals are in state '''S'''. | |||
==The Dashboard== | ==The Dashboard== | ||
[[File:dashboard.png|800px]] | [[File:dashboard.png|800px]] | ||
Revision as of 18:05, 17 June 2021
Overview
The SEIVAgent Simulator is software to accompany Getz, et. al.,Adaptive vaccination may be needed to eliminate COVID-19: Results from a runtime-alterable strain-drift and waning-immunity model, https://doi.org/10.1101/2021.06.07.21258504. Complete documentation for the application is contained in the latter. This User Guide provides general instructions for using the program, together with some example runs from the paper.
Using SEIVAgent
SEIVAgent simulates an epidemic spreading over a population of individuals. Individuals states include S (susceptible), E (exposed), I (infectious), V (vaccinated, immune) and D (dead). A set of 18 parameters govern the epidemic over a course of time units (days, weeks, etc.)
The program models both the initial infection and emerging variants. Each individual is currently in some state with respect to each of the variants. Variants are numbered 0 to 2n - 1 for some fixed n.
SEIVAgent is initialed with a given population size and a single individual in state I with respect to the initial strain (variant 0). All other individuals are in state S.
The Dashboard
