Evidence map›Paper›PMID 37106066›Full record

ArticleScientific reports2023

Modelling the effects of social distancing, antiviral therapy, and booster shots on mitigating Omicron spread.

Jongmin Lee, Renier Mendoza, Victoria May P Mendoza, Jacob Lee, Yubin Seo, Eunok Jung

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 27% of its field
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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Jongmin LeeDepartment of Mathematics, Konkuk University, Seoul, 05029, South Korea.
Renier MendozaInstitute of Mathematics, University of the Philippines Diliman, Quezon City, 1101, Philippines.
Victoria May P MendozaInstitute of Mathematics, University of the Philippines Diliman, Quezon City, 1101, Philippines.
Jacob LeeDivision of Infectious Disease, Department of Internal Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, 07441, South Korea.
Yubin SeoDivision of Infectious Disease, Department of Internal Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, 07441, South Korea.
Eunok JungDepartment of Mathematics, Konkuk University, Seoul, 05029, South Korea. junge@konkuk.ac.kr.
Hallym University Kangnam Sacred Heart Hospital · KRUniversity of the Philippines Diliman · PHKonkuk University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the COVID-19 situation changes because of emerging variants and updated vaccines, an elaborate mathematical model is essential in crafting proactive and effective control strategies. We propose a COVID-19 mathematical model considering variants, booster shots, waning, and antiviral drugs. We quantify the effects of social distancing in the Republic of Korea by estimating the reduction in transmission induced by government policies from February 26, 2021 to February 3, 2022. Simulations show that the next epidemic peak can be estimated by investigating the effects of waning immunity. This research emphasizes that booster vaccination should be administered right before the next epidemic wave, which follows the increasing waned population. Policymakers are recommended to monitor the waning population immunity using mathematical models or other predictive methods. Moreover, our simulations considering a new variant's transmissibility, severity, and vaccine evasion suggest intervention measures that can reduce the severity of COVID-19.

Indexed as

COVID-19EpidemicsAntiviral AgentsHumansImmunization, SecondaryPhysical DistancingVaccinationAntiviral Agents

Identifiers

PMID37106066
PMCPMC10139668
OpenAlexW4367176110

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.