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Coronavirus propagation dynamics

This project has models for different aspects of Coronavirus propagation dynamics. More specifically the focus is on the propagation of SARS-CoV-2 and the economic impact of COVID-19.

The model

The following mind-map illustrates the scope of the considered model:

Coronavirus-propagation-modeling-mind-map

This diagram shows the "big picture" in which the considered model is a major part of:

BigPicture

Data analysis

In order to build or confirm certain modeling conjectures and assumptions certain data analysis is required.

A fair amount of links to data and data analysis can be found here:

"Resources For Novel Coronavirus COVID-19", [WRI1].

Simple epidemiology models

A small, lightweight software framework for retrieval of the basic compartmental epidemiology models.

The framework consists of the packages:

See the document "Basic experiments workflow for simple epidemiological models" for the envisioned general workflow, interactive interfaces, and ad-hoc calibration.

The SEI2HR-Econ model

Generally speaking, the System dynamics methodology is used.

The first model uses a lot of simplifying assumptions and deals only with:

  • eight types of populations (no age is included),

  • available hospital beds,

  • medical supplies, and

  • related costs.

Nevertheless, that simple model provides certain insights and it is a good starting point for multiple types of model extensions.

Here is a component interaction diagram:

Coronavirus-propagation-simple-dynamics

Here is "a teaser" of how the simple model interactive interface looks like:

Coronavirus-propagation-interactive-modeling-teaser

Work plan

The work plan and its completion state can be found here.

Model extensions plan

The following graph shows the development plan:

Coronavirus-propagation-modeling-development-plan-graph

(The check marks indicate completion; the triangles indicate current focus.)

Calibration

Calibration issues are (briefly) discussed in "Basic experiments workflow for simple epidemiological models", [AA2].

Videos

References

General

[CDC1] https://www.cdc.gov/coronavirus/2019-ncov .

[WRI1] Wolfram Research, Inc. "Resources For Novel Coronavirus COVID-19", (2020) Community.wolfram.com.

Articles

[AA1] Anton Antonov, "Coronavirus propagation modeling considerations", (2020), SystemModeling at GitHub.

[AA2] Anton Antonov, "Basic experiments workflow for simple epidemiological models", (2020), SystemModeling at GitHub.

[AA3] Anton Antonov, "Scaling of Epidemiology Models with Multi-site Compartments", (2020), SystemModeling at GitHub.

[AA4] Anton Antonov, "NY Times COVID-19 data visualization", (2020), SystemModeling at GitHub.

Videos

[AAv1] Anton Antonov, COVID19 Epidemic Modeling: Compartmental Models, (2020), Wolfram YouTube channel .

[AAv2] Anton Antonov, Scaling of Epidemiology Models with Multi-site Compartments, (2020), Wolfram YouTube channel .

[AAv3] Anton Antonov, Simple Economic Extension of Compartmental Epidemiological Models, (2020), Wolfram YouTube channel .

[DZv1] Diego Zviovich, Geo-spatial-temporal COVID-19 Simulations and Visualizations Over USA, (2020), Wolfram YouTube channel .