Evidence map›Paper›PMID 37273038›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2023

Incidence of and risk factors for suspected COVID-19 reinfection in Kyoto City: a population-based epidemiological study.

Miki Nagao, Yasufumi Matsumura, Masaki Yamamoto, Koh Shinohara, Taro Noguchi, Satomi Yukawa, Yasuhiro Tsuchido, Haruma Teraishi, Hiromi Inoue, Takeshi Ikeda

Open access · bronzeAbstract read
In one paragraph

Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

10 authors at 2 institutions in 1 country.

Miki NagaoDepartment of Clinical Laboratory Medicine, Kyoto University Graduate School of Medicine, 54 Shogoin-Kawahara-cho, Sakyo-ku, 35 Kyoto City, Kyoto, Japan. mnagao@kuhp.kyoto-u.ac.jp.ORCID http://orcid.org/0000-0002-8886-6145
Yasufumi MatsumuraDepartment of Clinical Laboratory Medicine, Kyoto University Graduate School of Medicine, 54 Shogoin-Kawahara-cho, Sakyo-ku, 35 Kyoto City, Kyoto, Japan.ORCID https://orcid.org/0000-0001-8595-8944
Masaki YamamotoDepartment of Clinical Laboratory Medicine, Kyoto University Graduate School of Medicine, 54 Shogoin-Kawahara-cho, Sakyo-ku, 35 Kyoto City, Kyoto, Japan.ORCID https://orcid.org/0000-0002-7822-3269
Koh ShinoharaDepartment of Clinical Laboratory Medicine, Kyoto University Graduate School of Medicine, 54 Shogoin-Kawahara-cho, Sakyo-ku, 35 Kyoto City, Kyoto, Japan.ORCID https://orcid.org/0000-0001-8934-0375
Taro NoguchiDepartment of Clinical Laboratory Medicine, Kyoto University Graduate School of Medicine, 54 Shogoin-Kawahara-cho, Sakyo-ku, 35 Kyoto City, Kyoto, Japan.ORCID https://orcid.org/0000-0002-6601-6799
Satomi YukawaDepartment of Clinical Laboratory Medicine, Kyoto University Graduate School of Medicine, 54 Shogoin-Kawahara-cho, Sakyo-ku, 35 Kyoto City, Kyoto, Japan.
Yasuhiro TsuchidoDepartment of Clinical Laboratory Medicine, Kyoto University Graduate School of Medicine, 54 Shogoin-Kawahara-cho, Sakyo-ku, 35 Kyoto City, Kyoto, Japan.ORCID https://orcid.org/0000-0003-1306-3652
Haruma TeraishiPublic Health and Welfare Bureau of Kyoto City, Kyoto, Japan.
Hiromi InouePublic Health and Welfare Bureau of Kyoto City, Kyoto, Japan.
Takeshi IkedaPublic Health and Welfare Bureau of Kyoto City, Kyoto, Japan.
Kyoto University · JPKyoto Prefectural Institute of Public Health and Environment · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To determine the clinical characteristics of and risk factors for suspected reinfection with coronavirus 2019 (COVID-19). This was a retrospective cohort study using population-based notification records of residents in Kyoto City (1.4 M) with laboratory-confirmed COVID-19 infection between 1 March 2020 and 15 April 2022. Reinfection was defined by two or more positive COVID-19 test results ≧ 90 days apart. Demographic characteristics, the route and timing of infection and history of vaccination were analysed to identify risk factors for reinfection. Among the cohort of 107,475 patients, reinfection was identified in 0.66% (n = 709). The age group with the highest reinfection rate was 18-39 years (1.06%), followed by 40-59 years (0.58%). Compared to the medical and nursing professionals, individuals who worked in the construction and manufacturing industry (odds ratio [OR]: 2.86; 95% confidence interval [CI]: 1.66-4.92) and hospitality industry (OR: 2.05; 95% CI: 1.28-.31) were more likely to be reinfected. Symptomatic cases at initial infection, receiving more than 2 doses of vaccination and risk factors for severe infection at initial infection were protective factors against reinfection. Of the reinfected individuals, the reinfection route was unknown in 65%. Reinfection with COVID-19 is uncommon, with suspected reinfections more likely in adults, those with high exposure and unvaccinated individuals; the reinfection route was unknown in the majority of cases. This study confirmed the need to continue with self-protection efforts and to implement vaccination programs in high-risk populations.

Indexed as

COVID-19ReinfectionAdolescentAdultHumansIncidenceRetrospective StudiesRisk FactorsYoung AdultCOVID-19EpidemiologyReinfectionRisk factorsSARS-CoV-2

Identifiers

PMID37273038
PMCPMC10241120
OpenAlexW4379377036

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.