epidWaves

epidWaves is a package to fit multi-wave statistical models to the complex epidemic data.

View the Project on GitHub americocunhajr/epidWaves

epidWaves: A code for fitting multi-wave epidemic models is a Matlab/Python package to fit multi-wave statistical models to the complex epidemic data. It is based on a parametric statistical framework that combines surveillance data, nonlinear regression, and information criteria to obtain a statistical model capable of describing multi-wave epidemic outbreaks.

Software History

This package emerged from the combination of several codes used by authors in different publications:

Reproducibility

Curve fittings done with epidWaves in the Chaos paper are fully reproducible, as can be seen on this CodeOcean capsule

Authors

Citing epidWaves

We ask users to cite the following manuscripts in any publications reporting work done with epidWaves:

@article{epidWaves2022,
   author  = {A {Cunha~Jr} and F C Batista and P. R. L. Gianfelice and R S Oyarzabal and J M V Grzybowsk and E E N Macau},
   title   = {epidWaves: A code for fitting multi-wave epidemic models},
   journal = {Software Impacts},
   year    = {2022},
   volume  = {14},
   pages   = {100391},
   note    = {https://doi.org/10.1016/j.simpa.2022.100391},
}
@article{Gianfelice2022p031101,
   author  = {P. R. L. Gianfelice and R S Oyarzabal and A {Cunha~Jr} and J M V Grzybowsk and F C Batista and E E N Macau},
   title   = {The starting dates of COVID-19 multiple waves},
   journal = {Chaos},
   year    = {2022},
   volume  = {32},
   pages   = {031101},
   note    = {https://doi.org/10.1063/5.0079904},
}

License

epidWaves is released under the MIT license. See the LICENSE file for details. All new contributions must be made under the MIT license.

Institutional support

           

Funding