7 citations · 10 across the 3 of their papers we have counts for
3 papers
Sequential time-window learning with approximate Bayesian computation: an application to epidemic forecasting
João Pedro Valeriano, Pedro Henrique Cintra, Gustavo Libotte +4
The long duration of the COVID-19 pandemic allowed for multiple bursts in the infection and death rates, the so-called epidemic waves. This complex behavior is no longer tractable…
Forecasting COVID-19 Pandemic in Mozambique and Estimating Possible Scenarios
Cláudio Moisés Paulo, Felipe Nunes Fontinele, Pedro Henrique Pinheiro Cintra
COVID-19 is now the largest pandemic crisis of this century, with over 16 million registered cases worldwide. African countries have now begun registering an increasing number of c…
Mathematical Models for Describing and Predicting the COVID-19 Pandemic Crisis
P. H. P. Cintra, M. F. Citeli, F. N. Fontinele
The present article studies the extension of two deterministic models for describing the novel coronavirus pandemic crisis, the SIR model and the SEIR model. The models were studie…