Evidence map›Paper›PMID 35982107›Full record

ArticleScientific reports2022

Occupations and their impact on the spreading of COVID-19 in urban communities.

Marian-Gabriel Hâncean, Jürgen Lerner, Matjaž Perc, Iulian Oană, David-Andrei Bunaciu, Adelina Alexandra Stoica, Maria-Cristina Ghiţă

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

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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

7 authors.

Marian-Gabriel HânceanDepartment of Sociology, University of Bucharest, Panduri 90-92, 050663, Bucharest, Romania. gabriel.hancean@sas.unibuc.ro.
Jürgen LernerDepartment of Computer and Information Science, University of Konstanz, 78457, Konstanz, Germany.
Matjaž PercFaculty of Natural Sciences and Mathematics, University of Maribor, Koroška cesta 160, 2000, Maribor, Slovenia.
Iulian OanăDepartment of Sociology, University of Bucharest, Panduri 90-92, 050663, Bucharest, Romania.
David-Andrei BunaciuDepartment of Sociology, University of Bucharest, Panduri 90-92, 050663, Bucharest, Romania.
Adelina Alexandra StoicaDepartment of Sociology, University of Bucharest, Panduri 90-92, 050663, Bucharest, Romania.
Maria-Cristina GhiţăDepartment of Sociology, University of Bucharest, Panduri 90-92, 050663, Bucharest, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current pandemic has disproportionally affected the workforce. To improve our understanding of the role that occupations play in the transmission of COVID-19, we analyse real-world network data that were collected in Bucharest between August 1st and October 31st 2020. The data record sex, age, and occupation of 6895 patients and the 13,272 people they have interacted with, thus providing a social network from an urban setting through which COVID-19 has spread. Quite remarkably, we find that medical occupations have no significant effect on the spread of the virus. Instead, we find common transmission chains to start with infected individuals who hold jobs in the private sector and are connected with non-active alters, such as spouses, siblings, or elderly relatives. We use relational hyperevent models to assess the most likely homophily and network effects in the community transmission. We detect homophily with respect to age and anti-homophily with respect to sex and employability. We note that, although additional data would be welcomed to perform more in-depth network analyses, our findings may help public authorities better target under-performing vaccination campaigns.

Indexed as

COVID-19AgedHumansOccupationsPandemics

Identifiers

PMID35982107
PMCPMC9387884

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Registered trials

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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.