Evidence map›Paper›PMID 35127327›Full record

ArticleEPJ data science2022

Measuring close proximity interactions in summer camps during the COVID-19 pandemic.

Elia Leoni, Giulia Cencetti, Gabriele Santin, Timofei Istomin, Davide Molteni, Gian Pietro Picco, Elisabetta Farella, Bruno Lepri, Amy L Murphy

Open access · goldAbstract read
In one paragraph

Article in EPJ data science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.1field-weighted citation impact, top 63% 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

4 citing papers in PubMed, 1 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

9 authors at 1 institution in 1 country.

Elia LeoniDIGIS, Fondazione Bruno Kessler, Via Sommarive 18, 38123 Trento, Italy.
Giulia CencettiDIGIS, Fondazione Bruno Kessler, Via Sommarive 18, 38123 Trento, Italy.
Gabriele SantinDIGIS, Fondazione Bruno Kessler, Via Sommarive 18, 38123 Trento, Italy.
Timofei IstominDISI, University of Trento, Via Sommarive 9, 38123 Trento, Italy.
Davide MolteniDISI, University of Trento, Via Sommarive 9, 38123 Trento, Italy.
Gian Pietro PiccoDISI, University of Trento, Via Sommarive 9, 38123 Trento, Italy.
Elisabetta FarellaDIGIS, Fondazione Bruno Kessler, Via Sommarive 18, 38123 Trento, Italy.
Bruno LepriDIGIS, Fondazione Bruno Kessler, Via Sommarive 18, 38123 Trento, Italy.
Amy L MurphyDIGIS, Fondazione Bruno Kessler, Via Sommarive 18, 38123 Trento, Italy.
University of Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Policy makers have implemented multiple non-pharmaceutical strategies to mitigate the COVID-19 worldwide crisis. Interventions had the aim of reducing close proximity interactions, which drive the spread of the disease. A deeper knowledge of human physical interactions has revealed necessary, especially in all settings involving children, whose education and gathering activities should be preserved. Despite their relevance, almost no data are available on close proximity contacts among children in schools or other educational settings during the pandemic. Contact data are usually gathered via Bluetooth, which nonetheless offers a low temporal and spatial resolution. Recently, ultra-wideband (UWB) radios emerged as a more accurate alternative that nonetheless exhibits a significantly higher energy consumption, limiting in-field studies. In this paper, we leverage a novel approach, embodied by the Janus system that combines these radios by exploiting their complementary benefits. The very accurate proximity data gathered in-field by Janus, once augmented with several metadata, unlocks unprecedented levels of information, enabling the development of novel multi-level risk analyses. By means of this technology, we have collected real contact data of children and educators in three summer camps during summer 2020 in the province of Trento, Italy. The wide variety of performed daily activities induced multiple individual behaviors, allowing a rich investigation of social environments from the contagion risk perspective. We consider risk based on duration and proximity of contacts and classify interactions according to different risk levels. We can then evaluate the summer camps' organization, observe the effect of partition in small groups, or social bubbles, and identify the organized activities that mitigate the riskier behaviors. Overall, we offer an insight into the educator-child and child-child social interactions during the pandemic, thus providing a valuable tool for schools, summer camps, and policy makers to (re)structure educational activities safely.

Indexed as

Close proximity interactionsContagion risk levelsSocial bubble strategyWearable devices

Identifiers

PMID35127327
PMCPMC8802275
OpenAlexW3176860155

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.