fitVirusCV19_state (United States COVID-19 SIR Model)

versión 1.2.6 (4.5 MB) por Joshua McGee
Estimation of coronavirus COVID-19 epidemic evaluation by the SIR model, Code receives and plots data for the US obtained over the web.

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Actualizada 30 Apr 2020

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This code will retrieve recent state-level data from Wikipedia and attempts to fit it to a SIR model using structure created by Milan Batista.(https://www.mathworks.com/matlabcentral/fileexchange/74658-fitviruscovid19?s_tid=prof_contriblnk). The model is data-driven, so its forecast is as good as data are. Also, it is assumed that the model is a reasonable description of the one-stage epidemic.

Results are saved in structure res (see function fiVirusCV19_state header). Optionally the results may be printed by:

fitVirusCV19_state('Massachusetts','plt','on')

The plot may be enabled or disabled via (default is on):
fitVirusCV19_state('Massachusetts','prn','on')

To plot the growth rate on the figure use (def value is 2)
fitVirusCV19_state('Massachusetts','nsp',3)

A more detailed description can be found in:
https://www.researchgate.net/publication/339311383_Estimation_of_the_final_size_of_the_coronavirus_epidemic_by_the_SIR_model
Examples can be found in:
https://www.researchgate.net/publication/339912313_Forecasting_of_final_COVID-19_epidemic_size_200318

Citar como

Joshua McGee (2022). fitVirusCV19_state (United States COVID-19 SIR Model) (https://www.mathworks.com/matlabcentral/fileexchange/74813-fitviruscv19_state-united-states-covid-19-sir-model), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2020a
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux
Agradecimientos

Inspirado por: CoronavirusDataByState, URL Read Table, fitVirusCOVID19

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