Evidence map›Paper›PMID 36198306›Full record

ArticleEmerging infectious diseases2022

Age-Stratified Seroprevalence of SARS-CoV-2 Antibodies before and during the Vaccination Era, Japan, February 2020-March 2022.

Seiya Yamayoshi, Kiyoko Iwatsuki-Horimoto, Moe Okuda, Michiko Ujie, Atsuhiro Yasuhara, Jurika Murakami, Calvin Duong, Taiki Hamabata, Mutsumi Ito, Shiho Chiba and 18 more

Open access · diamondAbstract read
In one paragraph

Article in Emerging infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

5 citing papers in PubMed, 5 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

28 authors at 1 institution in 1 country.

Seiya Yamayoshi
Kiyoko Iwatsuki-Horimoto
Moe Okuda
Michiko Ujie
Atsuhiro Yasuhara
Jurika Murakami
Calvin Duong
Taiki Hamabata
Mutsumi Ito
Shiho Chiba
Ryo Kobayashi
Satoshi Takahashi
Keiko Mitamura
Masao Hagihara
Akimichi Shibata
Yoshifumi Uwamino
Naoki Hasegawa
Toshiaki Ebina
Akihiko Izumi
Hideaki Kato
Hideaki Nakajima
Norio Sugaya
Yuki Seki
Asef Iqbal
Isamu Kamimaki
Masahiko Yamazaki
Yoshihiro Kawaoka
Yuki Furuse
Nagasaki University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Japan has reported a relatively small number of COVID-19 cases. Because not all infected persons receive diagnostic tests for COVID-19, the reported number must be lower than the actual number of infections. We assessed SARS-CoV-2 seroprevalence by analyzing >60,000 samples collected in Japan (Tokyo Metropolitan Area and Hokkaido Prefecture) during February 2020-March 2022. The results showed that ≈3.8% of the population had become seropositive by January 2021. The seroprevalence increased with the administration of vaccinations; however, among the elderly, seroprevalence was not as high as the vaccination rate. Among children, who were not eligible for vaccination, infection was spread during the epidemic waves caused by the SARS-CoV-2 Delta and Omicron variants. Nevertheless, seroprevalence for unvaccinated children <5 years of age was as low as 10% as of March 2022. Our study underscores the low incidence of SARS-CoV-2 infection in Japan and the effects of vaccination on immunity at the population level.

Indexed as

COVID-19SARS-CoV-2AgedAntibodies, ViralChildHumansJapanSeroepidemiologic StudiesVaccinationAntibodies, Viralantibodycoronavirus diseaseCOVID-19epidemiologyincidenceJapanrespiratory infectionsSARS-CoV-2seroprevalencesevere acute respiratory syndrome coronavirus 2vaccinevaccine-preventable diseasesviruseszoonoses

Identifiers

PMID36198306
PMCPMC9622230
OpenAlexW4302762781

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.