A Gompertz mixture approach for modeling the evolution of the COVID-19 dynamics

 

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφείς: Gonzalez Farias, Graciela, Vásquez Martínez, Roberto, Márquez Urbina, José Ulises, Ramos Quiroga, Rogelio
Μορφή: artículo original
Κατάσταση:Versión publicada
Ημερομηνία έκδοσης:2023
Περιγραφή:Different countries used the growth Gompertz function at the beginning of the COVID-19 pandemic to model the number of cumulative infected cases since it provides reasonable results. Such a model allows only one mode, but the pandemic evolution has exhibited a multimodal behavior due to the different waves and variants of the COVID-19 virus. Thus, Gompertz’s classical growth model is not well suited to describe a long pandemic with different virus variants. This work presents generalizations of the Gompertz model that can reproduce a multimodal behavior to model the dynamics of infected cases. The models are applied to COVID-19 data from Nuevo Leon, Mexico.
Χώρα:Portal de Revistas UCR
Ίδρυμα:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
Γλώσσα:Inglés
OAI Identifier:oai:portal.ucr.ac.cr:article/50927
Διαθέσιμο Online:https://revistas.ucr.ac.cr/index.php/matematica/article/view/50927
Λέξη-Κλειδί :COVID-19
Gompertz mixture
Poisson process
Cox process
Mezcla de Gompertz
Proceso de Poisson
Proceso de Cox