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.
This package emerged from the combination of several codes used by authors in different publications:
- A. Cunha Jr, F. C. Batista, P. R. L. Gianfelice, R. S. Oyarzabal, J. M. V. Grzybowsk, and E. E. N. Macau, epidWaves: A code for fitting multi-wave epidemic models, 14:100391, 2022 https://doi.org/10.1016/j.simpa.2022.100391
- P. R. L. Gianfelice, R. S. Oyarzabal, A. Cunha Jr, J. M. V. Grzybowsk, F. C. Batista, and E. E. N. Macau, The starting dates of COVID-19 multiple waves, Chaos, 32:031101, 2022 https://doi.org/10.1063/5.0079904
- Pavlack et al., EPIDEMIC - Epidemiology Educational Code, Journal of Open Source Education, 5(50), 149, 2022 https://doi.org/10.21105/jose.00149
- F. Batista, A. Cunha Jr., Inferência dos Estágios Iniciais da COVID-19 em Portugal, In: XXIII Congresso Brasileiro de Automática (CBA 2020), 2020, Congresso Virtual, Brazil.
Curve fittings done with epidWaves in the Chaos paper are fully reproducible, as can be seen on this CodeOcean capsule
- Americo Cunha Jr
- Fernando da Conceição Batista
- Paulo Roberto de Lima Gianfelice
- Ricardo Sovek Oyarzabal
- Jose Mario Vicensi Grzybowsk
- Elbert E. N. Macau
We ask users to cite the following manuscripts in any publications reporting work done with epidWaves:
- A. Cunha Jr, F. C. Batista, P. R. L. Gianfelice, R. S. Oyarzabal, J. M. V. Grzybowsk, and E. E. N. Macau, epidWaves: A code for fitting multi-wave epidemic models, 14:100391, 2022 https://doi.org/10.1016/j.simpa.2022.100391
- P. R. L. Gianfelice, R. S. Oyarzabal, A. Cunha Jr, J. M. V. Grzybowsk, F. C. Batista, and E. E. N. Macau, The starting dates of COVID-19 multiple waves, Chaos, 32:031101, 2022 https://doi.org/10.1063/5.0079904
@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},
}
epidWaves is released under the MIT license. See the LICENSE file for details. All new contributions must be made under the MIT license.