- アールト大学の研究者たちは、ネットワーク科学を利用して、デジタルトレース技術の効率性をモデル化しました。 Researchers at Aalto University used network science to model the efficiency of digital tracing techniques.
アールト大学の研究者たちは、ネットワーク科学を利用して、デジタルトレース技術の効率性をモデル化しました。 Researchers at Aalto University used network science to model the efficiency of digital tracing techniques.
疫病の伝播とデジタル接触追跡。異種混合と検疫の失敗が及ぼす影響 Epidemic spreading and digital contact tracing: Effects of heterogeneous mixing and quarantine failures
Abbas K. Rizi, Ali Faqeeh, Arash Badie-Modiri, and Mikko Kivelä
Physical Review E Published:20 April 2022
Contact tracing via digital tracking applications installed on mobile phones is an important tool for controlling epidemic spreading. Its effectivity can be quantified by modifying the standard methodology for analyzing percolation and connectivity of contact networks. We apply this framework to networks with varying degree distributions, numbers of application users, and probabilities of quarantine failures. Further, we study structured populations with homophily and heterophily and the possibility of degree-targeted application distribution. Our results are based on a combination of explicit simulations and mean-field analysis. They indicate that there can be major differences in the epidemic size and epidemic probabilities which are equivalent in the normal susceptible-infectious-recovered (SIR) processes. Further, degree heterogeneity is seen to be especially important for the epidemic threshold but not as much for the epidemic size. The probability that tracing leads to quarantines is not as important as the application adoption rate. Finally, both strong homophily and especially heterophily with regard to application adoption can be detrimental. Overall, epidemic dynamics are very sensitive to all of the parameter values we tested out, which makes the problem of estimating the effect of digital contact tracing an inherently multidimensional problem.