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Full text | |
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 |