Evidence map›Paper›PMID 34642603›Full record

ArticleJournal of complex networks2021

The role of age in the spreading of COVID-19 across a social network in Bucharest.

Marian-Gabriel Hâncean, Jürgen Lerner, Matjaž Perc, Maria Cristina Ghiţă, David-Andrei Bunaciu, Adelina Alexandra Stoica, Bianca-Elena Mihăilă

Open access · bronzeAbstract read
In one paragraph

Article in Journal of complex networks, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 15% 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, 21 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

7 authors at 3 institutions in 5 countries.

Marian-Gabriel HânceanDepartment of Sociology, University of Bucharest, Bucharest, Panduri 90-92, 050663, Romania.ORCID https://orcid.org/0000-0001-9358-5287
Jürgen LernerDepartment of Computer and Information Science, University of Konstanz, 78457, Konstanz, Germany.ORCID https://orcid.org/0000-0002-6802-5090
Matjaž PercFaculty of Natural Sciences and Mathematics, University of Maribor, Koroška cesta 160, 2000 Maribor, Slovenia, Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 404332, Taiwan, Alma Mater Europaea, Slovenska ulica 17, 2000 Maribor, Slovenia and Complexity Science Hub Vienna, Josefstädterstraße 39, 1080 Vienna, Austria.ORCID https://orcid.org/0000-0002-3087-541X
Maria Cristina GhiţăDepartment of Sociology, University of Bucharest, Bucharest, Panduri 90-92, 050663, Romania.
David-Andrei BunaciuDepartment of Sociology, University of Bucharest, Bucharest, Panduri 90-92, 050663, Romania.
Adelina Alexandra StoicaDepartment of Sociology, University of Bucharest, Bucharest, Panduri 90-92, 050663, Romania.
Bianca-Elena MihăilăDepartment of Sociology, University of Bucharest, Bucharest, Panduri 90-92, 050663, Romania.
University of Bucharest · ROChina Medical University · TWUniversity of Konstanz · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We analyse officially procured data detailing the COVID-19 transmission in Romania's capital Bucharest between 1st August and 31st October 2020. We apply relational hyperevent models on 19,713 individuals with 13,377 infection ties to determine to what degree the disease spread is affected by age whilst controlling for other covariate and human-to-human transmission network effects. We find that positive cases are more likely to nominate alters of similar age as their sources of infection, thus providing evidence for age homophily. We also show that the relative infection risk is negatively associated with the age of peers, such that the risk of infection increases as the average age of contacts decreases. Additionally, we find that adults between the ages 35 and 44 are pivotal in the transmission of the disease to other age groups. Our results may contribute to better controlling future COVID-19 waves, and they also point to the key age groups which may be essential for vaccination given their prominent role in the transmission of the virus.

Indexed as

age-group transmissionCovid-19network analysisrelational hyperevent modelsRomania

Identifiers

PMID34642603
PMCPMC8499891
OpenAlexW3197265967

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.