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10.3390/e23050638 http://scihub22266oqcxt.onion/10.3390/e23050638 34065581!8160685!34065581     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Entropy+(Basel) 2021 ; 23 (5): ä Nephropedia Template TP {{tp|p=34065581|t=2021. Improvement of Contact Tracing with Citizen s Distributed Risk Maps |pdf=|usr=}}{{34065581}} gab.com Text Improvement of Contact Tracing with Citizen s Distributed Risk Maps JO: Entropy (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=34065581 #FOAvip 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. Twit Text FOAVip Improvement of Contact Tracing with Citizen s Distributed Risk Maps ????Entropy (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=34065581 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34065581 #FOAvip English Wikipedia <ref>{{Cite pmid|34065581}}</ref> Improvement of Contact Tracing with Citizen s Distributed Risk Maps #MMPMID34065581 Rebollo M; Benito RM; Losada JC; Galeano J Entropy (Basel) 2021[May]; 23 (5): ä PMID34065581show ga 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. äImprovement of Contact Tracing with Citizen s Distributed Risk Maps (epmc).pdf DeepDyve Pubget Overpricing