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2209.05240

Global dynamics of a COVID-19 model with asymptomatic infections and quarantine measures

Songbai Guo, Yuling Xue, Xiliang Li, Zuohuan Zheng

correcthigh confidence
Category
Not specified
Journal tier
Strong Field
Processed
Sep 28, 2025, 12:56 AM

Audit review

The paper establishes global dynamics for the long-term SEIAQR model (1) with standard incidence and Rc given in (3) . It proves that V0 is globally asymptotically stable for Rc<1 and globally attractive for Rc=1 using a limit system and a Lyapunov function L that includes an S-term (eqs. (9)–(10)) , and that the endemic equilibrium V* is globally asymptotically stable on Ω={E(0)>0} for Rc>1 via a Volterra-type Lyapunov function (eqs. (11)–(12)) and ω-limit set arguments . The candidate solution reaches the same threshold and stability conclusions with a different route: a direct Lyapunov function on infected classes for the DFE and a Volterra-type function for the EE with weights that, when evaluated at V*, coincide with those used in the paper. One minor flaw is that the candidate asserts, for Rc=1, that V̇=0 implies S=N and Y=0; in fact V̇=0 for all E=I=A=0 regardless of S, so the “largest invariant subset of {V̇=0} is {V0}” claim is not literally correct, though the conclusion still follows by analyzing the dynamics on the disease-free manifold. Aside from this, the reasoning aligns with the paper’s results and techniques.

Referee report (LaTeX)

\textbf{Recommendation:} minor revisions

\textbf{Journal Tier:} strong field

\textbf{Justification:}

The paper rigorously settles the global dynamics for a SEIAQR model with quarantine and asymptomatic transmission. The limit-system methodology and Lyapunov constructions are well-chosen and executed with clear algebra. The results are important as benchmarks for epidemiological modeling with standard incidence. A few clarifications (notably at Rc=1 and in the choice of endemic Lyapunov weights) would further improve accessibility, but the core contribution is correct and significant.