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List of COVID-19 simulation models

From Wikipedia, the free encyclopedia

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COVID-19 simulation models are mathematical infectious disease models for the spread of COVID-19.[1] The list should not be confused with COVID-19 apps used mainly for digital contact tracing.

Note that some of the applications listed are website-only models or simulators, and some of those rely on (or use) real-time data from other sources.

Models with the most scientific backing

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The sub-list contains simulators that are based on theoretical models. Due to the high number of pre-print research created and driving by the COVID-19 pandemic,[2] especially newer models should only be considered with further scientific rigor.[3][4]

Simulations and models

Genome databases

Several of these models make use of genome databases, including the following:

Consortia, research clusters, other collections

  • CDC list of Forecast Inclusion and Assumptions[55] – large list with different models, etc.
  • CORSMA – EU consortium (COVID-19-Outbreak Response combining E-health, Serolomics, Modelling, Artificial Intelligence and Implementation Research)[56]
  • COVID-19 Forecast Hub[57]Serves as a central repository of forecasts and predictions from over 50 international research groups.[58][59]
  • Nextstrain – Open-source project to harness the scientific and public health potential of pathogen genome data[60]
    • See also Nextstrain SARS-CoV-2 resources[61]
  • SIMID[62] – Simulation Models of Infectious Diseases – Belgium research consortium
  • RAMP – Rapid Assistance in Modelling the Pandemic[63] (UK)
  • UT Austin COVID-19 Modeling Consortium[64]
  • Computational Approaches to Foster Innovation in the Treatment and Diagnosis of Infectious Diseases by Frontiers

Vaccination monitors, models or dashboards

Note: The following (additional) resources are mostly based on actual data, not simulation. They might include predictive features, e. g. vaccination rate estimation, but in general are not based on theoretical or modeling grounds as the main list of this article. Nonetheless, forecasting remains important.[65] (See for example the COVID-19 Forecast Hub)[66]

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Models with less scientific backing

The following models are purely for educational purposes only.

  • Cellular Defense Automata model[76]
  • Overview of SARS-CoV-2 variants and mutations that are of interest[77]
  • Covid-19 Simulator[78]
  • COVID19: Top 7 - A curated list[79] posted on Medium
  • github.com/topics: covid-19[80]
  • ISEE Systems COVID-19 Simulator[81]
  • nCoV2019.live[82] - "Numbers you need at a quick glance" by Schiffmann/Conlon
    • cov19.cc- by Conlon[83]
  • Simul8 - COVID-19 Simulation Resources[84]
  • Simulating coronavirus with the SIR model[85]
  • Virus Spread Simulation[86]
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  • (American Chemical Society) CAS COVID-19 BIOINDICATOR EXPLORER[87]
  • CDC's COVID Data Tracker[88]
  • Civil Society Partners in Solidarity against COVID-19 (CSPAC): Full, live, global, COVID-19 Status Report for 251 locales & 71 Ships[89]
  • Cornell Institute for Social & Economic Research (CISER): COVID-19 Data Sources[90]
  • Eulerian–Lagrangian multiphase modeling, e. g. for transmission of COVID-19 in elevators based on CFD[91]
  • Onset of Symptoms of COVID-19 simulation (Stochastic Progression Model) by Larsen et al.[92]
  • Our World in Data's Coronavirus Source Data[93]
  • The Atlantic's COVID 19 Tracking Project[94]
  • Vadere - Open Source Framework for Pedestrian and Crowd Simulation[95]
  • WHO Coronavirus (COVID-19) Dashboard[96]

Trainings and other resources

See also

References

Further reading

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