Cunha Americo, Batista Fernando da Conceição, Gianfelice Paulo Roberto de Lima, Oyarzabal Ricardo Sovek, Grzybowski Jose Mario Vicensi, Macau Elbert E N
Rio de Janeiro State University, Rio de Janeiro, Brazil.
Polytechnic Institute of Leiria, Leiria, Portugal.
Softw Impacts. 2022 Nov;14:100391. doi: 10.1016/j.simpa.2022.100391. Epub 2022 Jul 26.
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 , a package that provides a framework for fitting multi-wave epidemic models to data from actual outbreaks of COVID-19 and other infectious diseases.
新冠疫情引发了对能够在短期内描述和推断疫情爆发演变的计算模型的巨大需求。从这个意义上讲，我们引入了一个软件包，它为将多波疫情模型拟合到来自新冠疫情及其他传染病实际爆发的数据提供了一个框架。
