Selection of models and parameter estimation for monitoring the COVID-19 epidemic in Brazil via bayesian inference.

Autor:	Inez, Lucas Martins, Dalla, Carlos Eduardo Rambalducci, Betencurte da Silva, Wellington, Sampaio Dutra, Julio Cesar, Justino da Costa, José Mir
Předmět:	COVID-19 pandemic PARAMETER estimation BAYESIAN field theory DISEASE outbreaks DISEASE nomenclature SARS-CoV-2 COVID-19 INFECTIOUS disease transmission
Zdroj:	Revista Ciência e Natura; 2023 Special Issue, Vol. 45, p1-23, 23p
Databáze:	Complementary Index
Externí odkaz:	Zobrazit plný text záznamu