Generalized SEIR Epidemic Model (fitting and computation)
Updated examples + the function getMultipleWaves, which is now more robust but also can significantly increase the computational time.
Updates:
Full description of the code and documentation available at:
Updates:
Full description of the code and documentation available at:
Updated the examples
Full description of the code and documentation available at:
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
v.4.8.2
Full description of the code on:
or
Correction of a typographical error in Documentation.mlx
Added additional condition for the selection of the country (thank to Aleks Czernicki). For more details, see: https://github.com/ECheynet/SEIR/pull/12
The file Tutorial.mlx is renamed Documentation.mlx and is more detailed.
Added new functions and one new example for:
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.
Simulating and fitting cases where multiple epidemic waves are observed. The example or several Chinese provinces are used for this purpose.
Example1.mlx was renamed Tutorial.mlx, Example2 was renamed Example_province_region and Example3 was renamed Example_Country.
Improved time-dependant death rates