Measuring close proximity interactions in summer camps during the COVID-19 pandemic
arXiv:2106.14750 · doi:10.1140/epjds/s13688-022-00316-y
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. [...]
References in corpus (14)
- High-resolution measurements of face-to-face contact patterns in a primary school
- Dynamics of person-to-person interactions from distributed RFID sensor networks
- What's in a crowd? Analysis of face-to-face behavioral networks
- High resolution dynamical mapping of social interactions with active RFID
- A High-Resolution Human Contact Network for Infectious Disease Transmission
- A Survey of COVID-19 Contact Tracing Apps
- Estimating Potential Infection Transmission Routes in Hospital Wards Using Wearable Proximity Sensors
- Simulation of an SEIR infectious disease model on the dynamic contact network of conference attendees
- Close encounters in a pediatric ward: measuring face-to-face proximity and mixing patterns with wearable sensors
- Measurement-Based Evaluation Of Google/Apple Exposure Notification API For Proximity Detection in a Commuter Bus
- Compensating for population sampling in simulations of epidemic spread on temporal contact networks
- Beyond Contagion: Reality Mining Reveals Complex Patterns of Social Influence
- Enhancing the evaluation of pathogen transmission risk in a hospital by merging hand-hygiene compliance and contact data: a proof-of-concept study
- Estimating the epidemic risk using non-uniformly sampled contact data