Evidence map›Paper›PMID 36639411›Full record

ArticleScientific reports2023

Reinfection rate in a cohort of healthcare workers over 2 years of the COVID-19 pandemic.

Ana Rubia Guedes, Maura S Oliveira, Bruno M Tavares, Alessandra Luna-Muschi, Carolina Dos Santos Lazari, Amanda C Montal, Elizabeth de Faria, Fernando Liebhart Maia, Antonio Dos Santos Barboza, Mariana Deckers Leme and 3 more

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 45 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 6 pooled it
18.1field-weighted citation impact, top 1% 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

45 citing papers in PubMed, 6 syntheses or guidelines pooled it, 93 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

13 authors at 2 institutions in 2 countries.

Ana Rubia GuedesInfection Control Department, Hospital das Clinicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.ORCID 0000-0002-6358-2912
Maura S OliveiraInfection Control Department, Hospital das Clinicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
Bruno M TavaresInfection Control Department, Hospital das Clinicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
Alessandra Luna-MuschiInstituto de Medicina Tropical, Faculdade de Medicina, Universidade de São Paulo, Av. Dr. Enéas Carvalho de Aguiar, 470, São Paulo, 05403-000, Brazil.
Carolina Dos Santos LazariCentral Laboratory Division, Hospital das Clinicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
Amanda C MontalCentral Administration of Hospital das Clinicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
Elizabeth de FariaCentral Administration of Hospital das Clinicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
Fernando Liebhart MaiaHealthcare Worker Health Services, Hospital das Clinicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
Antonio Dos Santos BarbozaHealthcare Worker Health Services, Hospital das Clinicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
Mariana Deckers LemeHealthcare Worker Health Services, Hospital das Clinicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
Francis M TomaziniCentral Administration of Hospital das Clinicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
Silvia Figueiredo CostaInstituto de Medicina Tropical, Faculdade de Medicina, Universidade de São Paulo, Av. Dr. Enéas Carvalho de Aguiar, 470, São Paulo, 05403-000, Brazil. silviacosta@usp.br.
Anna S LevinInfection Control Department, Hospital das Clinicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.ORCID 0000-0003-2427-8368
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRUniversidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this large cohort of healthcare workers, we aimed to estimate the rate of reinfections by SARS-CoV-2 over 2 years of the COVID-19 pandemic. We investigated the proportion of reinfections among all the cases of SARS-CoV-2 infection from March 10, 2020 until March 10, 2022. Reinfection was defined as the appearance of new symptoms that on medical evaluation were suggestive of COVID-19 and confirmed by a positive RT-PCR. Symptoms had to occur more than 90 days after the previous infection. These 2 years were divided into time periods based on the different variants of concern (VOC) in the city of São Paulo. There were 37,729 medical consultations due to COVID-19 at the hospital's Health Workers Services; and 25,750 RT-PCR assays were performed, of which 23% (n = 5865) were positive. Reinfection by SARS-CoV-2 was identified in 5% (n = 284) of symptomatic cases. Most cases of reinfection occurred during the Omicron period (n = 251; 88%), representing a significant increase on the SARS-CoV-2 reinfection rate before and during the Omicron variant period (0.8% vs. 4.3%; p < 0.001). The mean interval between SARS-CoV-2 infections was 429 days (ranged from 122 to 674). The Omicron variant spread faster than Gamma and Delta variant. All SARS-CoV-2 reinfections were mild cases.

Indexed as

COVID-19BrazilHealth PersonnelHumansPandemicsReinfectionSARS-CoV-2

Identifiers

PMID36639411
PMCPMC9837751
OpenAlexW4315866100

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.