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Measuring close proximity interactions in summer camps during the COVID-19 pandemic.
Leoni, Elia; Cencetti, Giulia; Santin, Gabriele; Istomin, Timofei; Molteni, Davide; Picco, Gian Pietro; Farella, Elisabetta; Lepri, Bruno; Murphy, Amy L.
  • Leoni E; DIGIS, Fondazione Bruno Kessler, Via Sommarive 18, 38123 Trento, Italy.
  • Cencetti G; DEI, University of Bologna, Viale del Risorgimento 2, 40136 Bologna, Italy.
  • Santin G; DIGIS, Fondazione Bruno Kessler, Via Sommarive 18, 38123 Trento, Italy.
  • Istomin T; DIGIS, Fondazione Bruno Kessler, Via Sommarive 18, 38123 Trento, Italy.
  • Molteni D; DISI, University of Trento, Via Sommarive 9, 38123 Trento, Italy.
  • Picco GP; DISI, University of Trento, Via Sommarive 9, 38123 Trento, Italy.
  • Farella E; DISI, University of Trento, Via Sommarive 9, 38123 Trento, Italy.
  • Lepri B; DIGIS, Fondazione Bruno Kessler, Via Sommarive 18, 38123 Trento, Italy.
  • Murphy AL; DIGIS, Fondazione Bruno Kessler, Via Sommarive 18, 38123 Trento, Italy.
EPJ Data Sci ; 11(1): 5, 2022.
Article in English | MEDLINE | ID: covidwho-1662327
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.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Language: English Journal: EPJ Data Sci Year: 2022 Document Type: Article Affiliation country: Epjds

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Language: English Journal: EPJ Data Sci Year: 2022 Document Type: Article Affiliation country: Epjds