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Parameter identifiability of a within-host SARS-CoV-2 epidemic model

Junyuan Yang1,2, Sijin Wu2, Xuezhi Li3

  • 1Complex Systems Research Center, Shanxi University, Taiyuan, 030006, China.

Infectious Disease Modelling
|June 17, 2024
PubMed
Summary

This study identifies key parameters in a SARS-CoV-2 (COVID-19) model using DAISY and simulations. Reducing viral replication and infectiousness are crucial for controlling COVID-19 spread.

Keywords:
Practical identifiabilitySensitivity analysisStructural identifiabilityThe basic reproduction number

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