Covasim

COVID-19 Agent-based Simulator (Covasim): a model for exploring coronavirus dynamics and interventions.

  • Covasim is a stochastic agent-based simulator for performing COVID-19 analyses. These include projections of indicators such as numbers of infections and peak hospital demand. Covasim can also be used to explore the potential impact of different interventions, including social distancing, school closures, testing, contact tracing, quarantine, and vaccination.
RELATED ARTICLESExplain
EIDM 
Software
Software programs
Covasim
Agent-based
Python
Agent-based models
Schools
Caroline E Wagner
Pathosim
Age-Patch Mobility Mixing
AlgebraicJulia
Bayesian Evolutionary Analysis by Sampling Trees (BEAST)
CCODWG
COVID Hospital Surge
COVID JupyterHub
COVID Prevalence Estimate
COVID-19 Re - Generation Time
covidseir
CovidSim
covid-topic-modeling
Dempster-Shafer Bayesian Network inference package
diseasemapping
Efficacy of quarantine
epi base package for SyncroSim
EpiEstim
epigrowthfit
EpiILM
EpiILMCT
Estimating the infection fatality rate of Covid-19
geostatsp
Hexagonalfan
localEM
Localized Epidemiological Agent-Based Simulation (ABS)
macpan2
Mathematical epidemiology in a data-rich world
McMasterPandemic
MultiBD
Ontario pandemic mobility
Open Data Model
pathogen.jl
Pathosim
plASgraph2
pmcmc_dynamic_modeling
Prediction Codes
PyCoMod
python Population Modeller
SamPy
Stochastic simulations of classroom-level COVID-19 outbreaks
SyncroSim
Graph of this discussion
Enter the title of your article


Enter a short (max 500 characters) summation of your article
Enter the main body of your article
Lock
+Comments (0)
+Citations (2)
+About
Enter comment

Select article text to quote
welcome text

First name   Last name 

Email

Skip