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2205.15560

A novel analysis approach of uniform persistence for a COVID-19 model with quarantine and standard incidence rate

Songbai Guo, Yuling Xue, Xiliang Li, Zuohuan Zheng

correctmedium confidence
Category
math.DS
Journal tier
Specialist/Solid
Processed
Sep 28, 2025, 12:56 AM

Audit review

The paper proves uniform persistence for the SEIAQR system with standard incidence when Rc>1 and provides explicit lower bounds with T = max{T1+T2, α} (Theorems 4.2–4.3), together with the formulas for T1, T2, and α and the componentwise bounds for S,E,I,A,Q,R. The candidate solution reproduces the same window-minimum/variation-of-constants framework: (i) positivity and Ṅ=λ−dN, (ii) a baseline lower bound for S, (iii) a sliding-window estimate relating I and A to the minimum of E, and (iv) a contradiction argument forcing E to stay above a positive threshold, from which bounds for I,A,Q,R follow. Minor differences are not substantive: the candidate compresses the paper’s auxiliary lemmas (notably Lemmas 4.1–4.3) and asserts S/N ≥ 1/(ηRc) via a stated T2 rather than re-deriving it, but this is exactly what Lemma 4.1 and the definitions of T2 and α guarantee in the paper. The conclusions and structure align with Theorems 4.2–4.3 and the model formulation in the paper.

Referee report (LaTeX)

\textbf{Recommendation:} minor revisions

\textbf{Journal Tier:} specialist/solid

\textbf{Justification:}

The work supplies a clean, correct, and practically useful persistence analysis for a COVID-19 SEIAQR system under standard incidence. The paper's contribution is methodological and concrete: explicit lower bounds with tunable parameters θ,η and explicit times T1,T2,α. The argument is rigorous and broadly reusable. Minor revisions would improve clarity around technical thresholds and the case structure in Theorem 4.2.