Evidence map›Paper›PMID 36528092›Full record

ArticleJournal of theoretical biology2023

Projecting the COVID-19 immune landscape in Japan in the presence of waning immunity and booster vaccination.

Misaki Sasanami, Marie Fujimoto, Taishi Kayano, Katsuma Hayashi, Hiroshi Nishiura

Open access · hybridAbstract read
In one paragraph

Article in Journal of theoretical biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
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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

5 authors at 1 institution in 1 country.

Misaki SasanamiKyoto University School of Public Health, Yoshida-Konoe, Sakyo, Kyoto 606-8601, Japan. Electronic address: sasanami.misaki.6d@kyoto-u.ac.jp.
Marie FujimotoKyoto University School of Public Health, Yoshida-Konoe, Sakyo, Kyoto 606-8601, Japan. Electronic address: m0a1r0i8e.ph@gmail.com.
Taishi KayanoKyoto University School of Public Health, Yoshida-Konoe, Sakyo, Kyoto 606-8601, Japan. Electronic address: kayano.taishi.2w@kyoto-u.ac.jp.
Katsuma HayashiKyoto University School of Public Health, Yoshida-Konoe, Sakyo, Kyoto 606-8601, Japan. Electronic address: hayashi.katsuma.7w@kyoto-u.ac.jp.
Hiroshi NishiuraKyoto University School of Public Health, Yoshida-Konoe, Sakyo, Kyoto 606-8601, Japan. Electronic address: nishiura.hiroshi.5r@kyoto-u.ac.jp.
Kyoto University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) booster vaccination has been implemented globally in the midst of surges in infection due to the Delta and Omicron variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The objective of the present study was to present a framework to estimate the proportion of the population that is immune to symptomatic SARS-CoV-2 infection with the Omicron variant (immune proportion) in Japan, considering the waning of immunity resulting from vaccination and naturally acquired infection. We quantified the decay rate of immunity against symptomatic infection with Omicron conferred by the second and third doses of COVID-19 vaccine. We estimated the current and future vaccination coverage for the second and third vaccine doses from February 17, 2021 to August 1, 2022 and used data on the confirmed COVID-19 incidence from February 17, 2021 to April 10, 2022. From this information, we estimated the age-specific immune proportion over the period from February 17, 2021 to August 1, 2022. Vaccine-induced immunity, conferred by the second vaccine dose in particular, was estimated to rapidly wane. There were substantial variations in the estimated immune proportion by age group because each age cohort experienced different vaccination rollout timing and speed as well as a different infection risk. Such variations collectively contributed to heterogeneous immune landscape trajectories over time and age. The resulting prediction of the proportion of the population that is immune to symptomatic SARS-CoV-2 infection could aid decision-making on when and for whom another round of booster vaccination should be considered. This manuscript was submitted as part of a theme issue on "Modelling COVID-19 and Preparedness for Future Pandemics".

Indexed as

COVID-19COVID-19 VaccinesHumansJapanSARS-CoV-2VaccinationCOVID-19 VaccinesMathematical modelSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Statistical modelVaccine effectivenessWaning immunity

Identifiers

PMID36528092
PMCPMC9749381
OpenAlexW4312008231

What OpenQuestion holds

Textmetadata
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.