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epidWaves: A code for fitting multi-wave epidemic models

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Author(s):
Cunha Jr, Americo ; Batista, Fernando da Conceicao ; de Lima Gianfelice, Paulo Roberto ; Oyarzabal, Ricardo Sovek ; Vicensi Grzybowski, Jose Mario ; Macau, Elbert E. N.
Total Authors: 6
Document type: Journal article
Source: SOFTWARE IMPACTS; v. 14, p. 3-pg., 2022-08-03.
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. (AU)

FAPESP's process: 15/50122-0 - Dynamic phenomena in complex networks: basics and applications
Grantee:Elbert Einstein Nehrer Macau
Support Opportunities: Research Projects - Thematic Grants