epidWaves: A code for fitting multi-wave epidemic models

Americo Cunha Jr; Fernando da Conceição Batista; Paulo Roberto de Lima Gianfelice; Ricardo Sovek Oyarzabal; Jose Mario Vicensi Grzybowski; Elbert E N Macau

doi:10.1016/j.simpa.2022.100391

epidWaves: A code for fitting multi-wave epidemic models

Softw Impacts. 2022 Nov:14:100391. doi: 10.1016/j.simpa.2022.100391. Epub 2022 Jul 26.

Authors

Americo Cunha Jr¹, Fernando da Conceição Batista², Paulo Roberto de Lima Gianfelice³, Ricardo Sovek Oyarzabal³, Jose Mario Vicensi Grzybowski⁴, Elbert E N Macau³

Affiliations

¹ Rio de Janeiro State University, Rio de Janeiro, Brazil.
² Polytechnic Institute of Leiria, Leiria, Portugal.
³ Federal University of São Paulo, São José dos Campos, Brazil.
⁴ Federal University of Fronteira Sul, Erechim, Brazil.

Abstract

The COVID-19 pandemic has given rise to a great demand for computational models capable of describing and inferring the evolution of an epidemic outbreak in the short term. In this sense, we introduce epidWaves, a package that provides a framework for fitting multi-wave epidemic models to data from actual outbreaks of COVID-19 and other infectious diseases.

Keywords: Epidemic models; Mathematical epidemiology; Model calibration; Model fitting.