Evidence map›Paper›PMID 34939616›Full record

Observational studyLa Medicina del lavoro2021

Investigating SARS-CoV-2 transmission among co-workers in a University of Northern Italy during COVID-19 pandemic: an observational study.

Alfredo Montecucco, Guglielmo Dini, Alborz Rahmani, Bruno Kusznir Vitturi, Chiara Barletta, Luca Pellegrini, Alessia Manca, Andrea Orsi, Bianca Bruzzone, Valentina Ricucci and 6 more

Open access · diamondAbstract readObservational Study
In one paragraph

Observational study in La Medicina del lavoro, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 4 pooled it
1.2field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 4 syntheses or guidelines pooled it, 9 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

16 authors at 14 institutions in 8 countries.

Alfredo MontecuccoUniversità degli studi di Genova. alfredo.montecucco@edu.unige.it.
Guglielmo Dini. guglielmo.dini@unige.it.
Alborz Rahmani. alborz.rahmani@edu.unige.it.
Bruno Kusznir Vitturi. bruno.kusznir.vitturi@edu.unige.it.
Chiara Barletta. chiara.barletta@edu.unige.it.
Luca Pellegrini. luca.pellegrini@edu.unige.it.
Alessia Manca. alessia.manca@edu.unige.it.
Andrea Orsi. andrea.orsi@unige.it.
Bianca Bruzzone. bianca.bruzzone@hsanmartino.it.
Valentina Ricucci. valentina.ricucci@hsanmartino.it.
Vanessa De Pace. vanessa.depace@hsanmartino.it.
Giulia Guarona. giulia.guarona@hsanmartino.it.
Simona Boccotti. simona.boccotti@edu.unige.it.
Alessio SignoriDepartment of Health Sciences (DISSAL), University of Genoa, Genoa, Italy. alessio.signori@medicina.unige.it.
Giancarlo Icardi. icardi@unige.it.
Paolo Durando. durando@unige.it.
University of Genoa · ITBard College · USBocconi University · ITCanadian Institute of Technology · ALEl Hospital General de Agudos Carlos G. Durand · ARGuyana School of Agriculture · GYHôpital Pellegrin · FRInternational Center for Agricultural Research in the Dry Areas · SYLaboratori Guglielmo Marconi (Italy) · ITORIG3N (United States) · USPeace Corps · USUniversity Alto Vale do Rio do Peixe · BRValve (United States) · USViterbo University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to investigate SARS-CoV-2 transmission among co-workers at the University of Genoa, Italy, during the second COVID-19 pandemic wave.

methodsA cross-sectional study was carried out in October 2020 - March 2021: RT-PCR confirmed cases of COVID-19 notified to the Occupational Health Service were included in the analysis.

resultsAmong the n = 201 notified cases, contact tracing of n = 53 individuals identified n = 346 close contacts. The household setting (IRR = 36.8; 95% CI: 4.9-276.8; p < 0.001) and sharing eating areas (IRR = 19.5; 95% CI: 2.5-153.9; p = 0.005) showed the highest Secondary Attack Rates (SARs) compared to the office setting. Fatigue (IRR= 17.1; 95% CI: 5.2-55.8; p < 0.001), gastrointestinal symptoms (IRR= 6.6; 95% CI: 2.9-15.2; p< 0.001) and cough (IRR= 8.2; 95% CI: 3.7-18.2; p= p< 0.001) were associated with transmission of infection. Polysymptomatic cases (IRR= 23.1; 95% CI: 3.1-169.2; p = 0.02) were more likely to transmit the infection. Among COVID-19 index cases aged >60 years (OR = 7.7; 95% CI: 1.9-31.9; p = 0.0046) SARs were higher than in other age groups. Wearing respiratory protections by both the case and the close contact resulted an effective measure compared with no use (IRR = 0.08; 95% CI: 0.03-0.2; p = < 0.0001).

conclusionsAccurate infection monitoring and contact tracing was useful to identify the main situations Conclusions: Accurate infection monitoring and contact tracing was useful to identify the main situations of SARS-CoV-2 transmission in the workplace, and hence for risk assessment and prevention programs.

Indexed as

COVID-19Contact TracingCross-Sectional StudiesHumansPandemicsSARS-CoV-2

Identifiers

PMID34939616
PMCPMC8759045
OpenAlexW4200531915

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.