ArticleBMC infectious diseases2025
Optimizing quarantine in pandemic control: a multi-stage SEIQR modeling approach to COVID-19 transmission dynamics.
Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Optimal prevention and control strategy of infectious disease: Cost-effectiveness analysis based on a modified dynamic model with economic loss.Infectious Disease Modelling · 2026Article
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2 authors.
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Abstract
This study develops and applies an advanced SEIQR (Susceptible-Exposed-Infectious-Quarantined-Removed) model to explore the intricate dynamics of COVID-19 transmission. By incorporating a quarantined compartment into traditional epidemiological frameworks, the model offers a comprehensive examination of how isolation protocols affect pandemic progression. Key parameters such as infection rates, incubation periods, and quarantine durations are systematically analyzed to quantify their influence on the basic reproduction number (ℛ₀) and pandemic trajectory. Simulations reveal that timely and stringent quarantine interventions can reduce peak caseloads by up to 30%, delaying outbreak surges and alleviating pressure on healthcare systems. The model’s robustness is validated against empirical data, confirming its suitability as a predictive and policy-supporting tool. This research not only emphasizes the vital role of quarantine in public health management but also sets a foundational precedent for modeling future outbreaks with similar transmission profiles.
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