Evidence map›Paper›PMID 35790210›Full record

ArticleJournal of Korean medical science2022

Multi-Faceted Analysis of COVID-19 Epidemic in Korea Considering Omicron Variant: Mathematical Modeling-Based Study.

Youngsuk Ko, Victoria May Mendoza, Renier Mendoza, Yubin Seo, Jacob Lee, Jonggul Lee, Donghyok Kwon, Eunok Jung

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  12. Fractal-fractional age-structure study of omicron SARS-CoV-2 variant transmission dynamics.Partial differential equations in applied mathematics : a spin-off of Applied Mathematics Letters · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Youngsuk KoDepartment of Mathematics, Konkuk University, Seoul, Korea.ORCID https://orcid.org/0000-0001-9063-176X
Victoria May MendozaDepartment of Mathematics, Konkuk University, Seoul, Korea.ORCID https://orcid.org/0000-0003-0953-9822
Renier MendozaDepartment of Mathematics, Konkuk University, Seoul, Korea.ORCID https://orcid.org/0000-0003-3507-0327
Yubin SeoDivision of Infectious Disease, Department of Internal Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-5183-1996
Jacob LeeDivision of Infectious Disease, Department of Internal Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-7041-065X
Jonggul LeeDivision of Public Health Emergency Response Research, Korea Disease Control and Prevention Agency, Cheongju, Korea.ORCID https://orcid.org/0000-0002-5771-3015
Donghyok KwonDivision of Public Health Emergency Response Research, Korea Disease Control and Prevention Agency, Cheongju, Korea.ORCID https://orcid.org/0000-0003-4756-6477
Eunok JungDepartment of Mathematics, Konkuk University, Seoul, Korea. junge@konkuk.ac.kr.ORCID https://orcid.org/0000-0002-7411-3134

Funding

National Research Foundation of Korea NRF-2021M3E5E308120711National Research Foundation of Korea NRF-2021R1A2C100448711
6 · The paper itself

Abstract

backgroundThe most recent variant of concern, omicron (B.1.1.529), has caused numerous cases worldwide including the Republic of Korea due to its fast transmission and reduced vaccine effectiveness.

methodsA mathematical model considering age-structure, vaccine, antiviral drugs, and influx of the omicron variant was developed. We estimated transmission rates among age groups using maximum likelihood estimation for the age-structured model. The impact of non-pharmaceutical interventions (NPIs; in community and border), quantified by a parameter μ in the force of infection, and vaccination were examined through a multi-faceted analysis. A theory-based endemic equilibrium study was performed to find the manageable number of cases according to omicron- and healthcare-related factors.

resultsBy fitting the model to the available data, the estimated values of μ ranged from 0.31 to 0.73, representing the intensity of NPIs such as social distancing level. If μ < 0.55 and 300,000 booster shots were administered daily from February 3, 2022, the number of severe cases was forecasted to exceed the severe bed capacity. Moreover, the number of daily cases is reduced as the timing of screening measures is delayed. If screening measure was intensified as early as November 24, 2021 and the number of overseas entrant cases was contained to 1 case per 10 days, simulations showed that the daily incidence by February 3, 2022 could have been reduced by 87%. Furthermore, we found that the incidence number in mid-December 2021 exceeded the theory-driven manageable number of daily cases.

conclusionNPIs, vaccination, and antiviral drugs influence the spread of omicron and number of severe cases in the Republic of Korea. Intensive and early screening measures during the emergence of a new variant is key in controlling the epidemic size. Using the endemic equilibrium of the model, a formula for the manageable daily cases depending on the severity rate and average length of hospital stay was derived so that the number of severe cases does not surpass the severe bed capacity.

Indexed as

COVID-19Antiviral AgentsHumansModels, TheoreticalSARS-CoV-2Antiviral AgentsCOVID-19EndemicMathematical ModelingOmicron Variant, Nonpharmaceutical InterventionsVaccination

Identifiers

PMID35790210
PMCPMC9259245

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.