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Multi-Faceted Analysis of COVID-19 Epidemic in Korea Considering Omicron Variant: Mathematical Modeling-Based Study
Youngsuk Ko1, Victoria May Mendoza1,2, Renier Mendoza1,2
1Department of Mathematics, Konkuk University, Seoul, Korea.
Early, intensive screening and non-pharmaceutical interventions (NPIs) are crucial for controlling Omicron (B.1.1.529) spread. Mathematical modeling shows these measures, alongside vaccination, significantly reduce severe cases and hospitalizations.
Area of Science:
- Epidemiology
- Mathematical Modeling
- Public Health Interventions
Background:
- Omicron (B.1.1.529) variant spread globally, including South Korea, due to high transmissibility and reduced vaccine efficacy.
- Understanding Omicron's impact is critical for effective public health strategies.
Purpose of the Study:
- To model the spread of the Omicron variant in South Korea.
- To evaluate the impact of non-pharmaceutical interventions (NPIs), vaccination, and antiviral drugs.
- To determine manageable daily case numbers to prevent healthcare system overload.
Main Methods:
- Developed an age-structured mathematical model incorporating vaccination, antiviral drugs, and Omicron variant influx.
- Estimated transmission rates using maximum likelihood estimation.
- Analyzed the impact of NPIs (μ parameter) and vaccination strategies.
- Performed endemic equilibrium analysis for manageable case projections.
Main Results:
- Estimated NPI intensity (μ) ranged from 0.31 to 0.73.
- Exceeding severe bed capacity was projected if NPIs were weak (μ < 0.55) without sufficient daily booster shots.
- Early and intensive screening measures (e.g., starting Nov 24, 2021) could have reduced incidence by 87% by Feb 3, 2022.
- Observed incidence in mid-December 2021 surpassed manageable levels.
Conclusions:
- NPIs, vaccination, and antiviral drugs are key factors in controlling Omicron spread and severe cases.
- Timely and intensive screening is vital for epidemic control.
- Derived a formula for manageable daily cases based on severity and hospital stay duration to prevent exceeding bed capacity.
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