Sideward contact tracing and the control of epidemics in large gatherings

Abstract

Effective contact tracing is crucial to contain epidemic spreading without disrupting societal activities especially in the present time of coexistence with a pandemic outbreak. Large gatherings play a key role, potentially favouring superspreading events. However, the effects of tracing in large groups have not been fully assessed so far. We show that beside forward tracing, which reconstructs to whom disease spreads, and backward tracing, which searches from whom disease spreads, a third "sideward" tracing is always present, when tracing gatherings. This is an indirect tracing that detects infected asymptomatic individuals, even if they have neither been directly infected by, nor they have directly transmitted the infection to the index case. We analyse this effect in a model of epidemic spreading for SARS-CoV-2, within the framework of simplicial activity-driven temporal networks. We determine the contribution of the three tracing mechanisms to the suppression of epidemic spreading, showing that sideward tracing induces a non-monotonic behaviour in the tracing efficiency, as a function of the size of the gatherings. Based on our results, we suggest an optimal choice for the sizes of the gatherings to be traced and we test the strategy on an empirical dataset of gatherings in a University Campus.

Main document: 12 pages, 5 figures; Supplementary Material: 14 pages, 4 figures

References in corpus (6)

• Networks beyond pairwise interactions: structure and dynamics
• Activity driven modeling of time varying networks
• Burstiness in activity-driven networks and the epidemic threshold
• Sideward contact tracing and the control of epidemics in large gatherings
• Stochastic sampling effects favor manual over digital contact tracing
• Digital Contact Tracing: Large-scale Geolocation Data as an Alternative to Bluetooth-based Apps' Failure

Cited by in corpus (8)

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• Simplicial temporal networks from Wi-Fi data in a University Campus: the effects of restrictions on epidemic spreading
• Pedestrian fluxes in confined geometric networks: entropic measures and robustness of accessibility in a university campus
• Higher-order adaptive behaviors outperform pairwise strategies in mitigating contagion dynamics
• Anomalous finite-size scaling in higher-order processes with absorbing states