Evidence map›Paper›PMID 35799710›Full record

ArticleImmune network2022

Modeling Incorporating the Severity-Reducing Long-term Immunity: Higher Viral Transmission Paradoxically Reduces Severe COVID-19 During Endemic Transition.

Hyukpyo Hong, Ji Yun Noh, Hyojung Lee, Sunhwa Choi, Boseung Choi, Jae Kyoung Kim, Eui-Cheol Shin

Abstract read
In one paragraph

Article in Immune network, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Reflections after 2 years of COVID-19 pandemic.Reviews in medical virology · 2022
    Article
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

7 authors.

Hyukpyo HongDepartment of Mathematical Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Korea.ORCID https://orcid.org/0000-0001-7419-8345
Ji Yun NohLaboratory of Immunology and Infectious Diseases, Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Korea.ORCID https://orcid.org/0000-0001-8541-5704
Hyojung LeeDepartment of Statistics, Kyungpook National University, Daegu 41566, Korea.ORCID https://orcid.org/0000-0001-9880-3044
Sunhwa ChoiDivision of Fundamental Research on Public Agenda, National Institute for Mathematical Sciences, Daejeon 34047, Korea.ORCID https://orcid.org/0000-0002-6608-6981
Boseung ChoiBiomedical Mathematics Group, Institute for Basic Science (IBS), Daejeon 34126, Korea.ORCID https://orcid.org/0000-0001-7512-118X
Jae Kyoung KimDepartment of Mathematical Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Korea.ORCID https://orcid.org/0000-0001-7842-2172
Eui-Cheol ShinLaboratory of Immunology and Infectious Diseases, Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Korea.ORCID https://orcid.org/0000-0002-6308-9503

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural infection with severe acute respiratory syndrome-coronavirus-2 or vaccination induces virus-specific immunity protecting hosts from infection and severe disease. While the infection-preventing immunity gradually declines, the severity-reducing immunity is relatively well preserved. Here, based on the different longevity of these distinct immunities, we develop a mathematical model to estimate courses of endemic transition of coronavirus disease 2019 (COVID-19). Our analysis demonstrates that high viral transmission unexpectedly reduces the rates of progression to severe COVID-19 during the course of endemic transition despite increased numbers of infection cases. Our study also shows that high viral transmission amongst populations with high vaccination coverages paradoxically accelerates the endemic transition of COVID-19 with reduced numbers of severe cases. These results provide critical insights for driving public health policies in the era of 'living with COVID-19.'

Indexed as

COVID-19Endemic transitionImmunitySARS-CoV-2Severity

Identifiers

PMID35799710
PMCPMC9250866

What OpenQuestion holds

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LicenceCC BY-NC
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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.