Data-driven models for replication kinetics of \textit{Orthohantavirus} infections

DOI10.1016/j.mbs.2022.108834zbMath1492.92079OpenAlexW4280622739MaRDI QIDQ2147450

Aubrey M. Sawyer, Alison Adams, Colleen B. Jonsson, Linda J. S. Allen, Evan P. Williams, Quiyana M. Murphy, Fan Bai, Christina J. Edholm, Owen P. Dougherty

Publication date: 20 June 2022

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mbs.2022.108834

zbMATH Keywords

within-host\textit{in vitro} data\textit{Orthohantavirus}final density relation

Mathematics Subject Classification ID

Epidemiology (92D30) Qualitative investigation and simulation of ordinary differential equation models (34C60)

Related Items (1)

Multiple cohort study of hospitalized SARS-CoV-2 in-host infection dynamics: parameter estimates, identifiability, sensitivity and the eclipse phase profile

Cites Work

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