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This code will retrieve recent data from the HDX and attempt 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.
This model gives more weight to the most recent data so that the most recent behaviours of people such as social distancing, stay at home and personal hygiene quickly reflect in the fitted SIR model parameters.
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 header). Optionally the results may be printed by:
fitVirusCV19varW(“Italy",'prn','on')
The plot may be enabled or disabled via (default is on):
fitVirusCV19varW(“Italy",'plt','off')
Cita come
Lateef Adewale Kareem (2026). fitVirusCV19varW (Variable weight fitting of SIR Model) (https://it.mathworks.com/matlabcentral/fileexchange/74977-fitviruscv19varw-variable-weight-fitting-of-sir-model), MATLAB Central File Exchange. Recuperato .
Riconoscimenti
Ispirato da: fitVirusCV19v3 (COVID-19 SIR Model), fitVirusCOVID19, fminsearchbnd, fminsearchcon
Informazioni generali
- Versione 1.0.2 (11,3 KB)
Compatibilità della release di MATLAB
- Compatibile con qualsiasi release
Compatibilità della piattaforma
- Windows
- macOS
- Linux