Statistical modelling of COVID-19 pandemic development applying branching processes

DOI10.1080/02664763.2021.2006154OpenAlexW3214810773WikidataQ114748072 ScholiaQ114748072MaRDI QIDQ6078129

Dimitar Atanasov, Vessela Stoimenova, Unnamed Author

Publication date: 27 September 2023

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2021.2006154

zbMATH Keywords

estimationmodellingbranching processesimmigrationepidemiologyCOVID-19

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

Editorial to the special issue: statistical perspectives on analytics for COVID-19 data

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Critical branching processes with nonhomogeneous migration
• Stochastic Modelling and Estimation of COVID-19 Population Dynamics
• On COVID-19 outbreaks predictions: Issues on stability, parameter sensitivity, and precision
• Branching Stochastic Processes with Immigration as Models of Covid-19 Pandemic Development
• Branching Processes
• Branching Processes as Models of Progenitor Cell Populations and Estimation of the Offspring Distributions
• Branching processes in biology