Releases: ECheynet/SEIR
Generalized SEIR Epidemic Model (fitting and computation)
Generalized SEIR Epidemic Model (fitting and computation)
Updates:
- Examples updated.
- Minor bug corrected in the example dealing with the US cities ad states.
- The initial and final times are now chosen more easily by the user. This should greatly simplify the fitting procedure.
- The data from the Italian regions seems to be no longer available before June 2020
- Minor update for the functions used to fit multiple epidemic waves.
Full description of the code and documentation available at:
Generalized SEIR Epidemic Model (fitting and computation)
Updates:
- Added a folder Documentation.pdf that display the examples and documentation in a pdf format
- Examples updated
- Deleted the example with French regions, since the data were no longer updated
- Added an optional parameter in datetime, which improve the code performance for users in e.g. China (cf. Issue Time error #13)
Full description of the code and documentation available at:
Generalized SEIR Epidemic Model (fitting and computation)
Updated the examples
Full description of the code and documentation available at:
Generalized SEIR Epidemic Model (fitting and computation)
Corrected a typo in the documentation
Updated the example files
Added a description in the multiple wave simulation (the quality of the fit depends on the initial number of infectious and exposed)
The full description of the code is available on https://se.mathworks.com/matlabcentral/fileexchange/74545-generalized-seir-epidemic-model-fitting-and-computation
Generalized SEIR Epidemic Model (fitting and computation)
v.4.8.2
- The coefficients used in the fatality and recovery rate are now properly defined
- Minor improvements in the fitting algorithm
- Updated examples
- The initial values E0 and I0 are updated
Full description of the code on:
or
Generalized SEIR Epidemic Model (fitting and computation)
Correction of a typographical error in Documentation.mlx
Generalized SEIR Epidemic Model (fitting and computation)
Added additional condition for the selection of the country (thank to Aleks Czernicki). For more details, see: #12
The file Tutorial.mlx is renamed Documentation.mlx and is more detailed.
v4.7
Added new functions and one new example for:
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plotting the computed and fitted deaths and recovery rate. These are useful to check whether the fitting is successful or not. Bad fitting means that a local minimum was found.
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Simulating and fitting cases where multiple epidemic waves are observed. The example or several Chinese provinces are used for this purpose.
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Example1.mlx was renamed Tutorial.mlx, Example2 was renamed Example_province_region and Example3 was renamed Example_Country.