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Improvement of Contact Tracing with Citizen’s Distributed Risk Maps

VRAIn-Valencian Research Institute for Artificial Intelligence, Universitat Politècnica de València, 46022 Valencia, Spain
Complex Systems Group, Universidad Politécnica de Madrid, 28040 Madrid, Spain
Author to whom correspondence should be addressed.
Academic Editors: Hocine Cherifi, Benjamin Renoust and José A. Tenreiro Machado
Received: 1 March 2021 / Revised: 7 May 2021 / Accepted: 11 May 2021 / Published: 20 May 2021
The rapid spread of COVID-19 has demonstrated the need for accurate information to contain its diffusion. Technological solutions are a complement that can help citizens to be informed about the risk in their environment. Although measures such as contact traceability have been successful in some countries, their use raises society’s resistance. This paper proposes a variation of the consensus processes in directed networks to create a risk map of a determined area. The process shares information with trusted contacts: people we would notify in the case of being infected. When the process converges, each participant would have obtained the risk map for the selected zone. The results are compared with the pilot project’s impact testing of the Spanish contact tracing app (RadarCOVID). The paper also depicts the results combining both strategies: contact tracing to detect potential infections and risk maps to avoid movements into conflictive areas. Although some works affirm that contact tracing apps need 60% of users to control the propagation, our results indicate that a 40% could be enough. On the other hand, the elaboration of risk maps could work with only 20% of active installations, but the effect is to delay the propagation instead of reducing the contagion. With both active strategies, this methodology is able to significantly reduce infected people with fewer participants. View Full-Text
Keywords: consensus; complex network; COVID; risk map; collaboration; contact tracing consensus; complex network; COVID; risk map; collaboration; contact tracing
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MDPI and ACS Style

Rebollo, M.; Benito, R.M.; Losada, J.C.; Galeano, J. Improvement of Contact Tracing with Citizen’s Distributed Risk Maps. Entropy 2021, 23, 638.

AMA Style

Rebollo M, Benito RM, Losada JC, Galeano J. Improvement of Contact Tracing with Citizen’s Distributed Risk Maps. Entropy. 2021; 23(5):638.

Chicago/Turabian Style

Rebollo, Miguel, Rosa M. Benito, Juan C. Losada, and Javier Galeano. 2021. "Improvement of Contact Tracing with Citizen’s Distributed Risk Maps" Entropy 23, no. 5: 638.

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