Proximity-based contact tracing relies on mobile-device interaction to estimate the spread of disease. ShareTrace is one such approach that improves the efficacy of tracking disease spread by considering direct and indirect forms of contact. In this work, we utilize the actor model to provide an efficient and scalable formulation of ShareTrace with asynchronous, concurrent message passing on a temporal contact network. We also introduce message reachability, an extension of temporal reachability that accounts for network topology and message-passing semantics. Our evaluation on both synthetic and real-world contact networks indicates that correct parameter values optimize for algorithmic accuracy and efficiency. In addition, we demonstrate that message reachability can accurately estimate the risk a user poses to their contacts.
翻译:基于近距离的接触追踪依靠移动设备互动来估计疾病传播情况。 共享跟踪是一种通过考虑直接和间接接触形式来提高跟踪疾病传播效率的方法。 在这项工作中,我们利用行为者模型来提供一种高效且可扩展的“共享跟踪”配制,同时将非同步的信息传递到一个时间联系网络上。我们还引入了信息可传递性,即时间可及性的延伸,可以计算网络地形和传递信息语义。我们对合成和真实世界联系网络的评估表明,正确的参数值最符合算法的准确性和效率。此外,我们还表明,信息的可获取性可以准确估计用户对其接触的风险。