Distributed Clustering Algorithm for Adaptive Pandemic Control

IEEE Access

Carolina Nolasco-Ferencikova¹  Xabier Insausti¹  Jesus Gutierrez-Gutierrez²  Marta Zarraga-Rodriguez² 

[1] Tecnun, University of Navarra, San Sebasti&x2019;an, Spain;

关键词: Adaptive algorithm;    clustering algorithms;    COVID-19;    distributed algorithms;   

DOI  :  10.1109/ACCESS.2021.3131777

来源: DOAJ

【 摘 要 】

The COVID-19 pandemic has had severe consequences on the global economy, mainly due to indiscriminate geographical lockdowns. Moreover, the digital tracking tools developed to survey the spread of the virus have generated serious privacy concerns. In this paper, we present an algorithm that adaptively groups individuals according to their social contacts and their risk level of severe illness from COVID-19, instead of geographical criteria. The algorithm is fully distributed and therefore, individuals do not know any information about the group they belong to. Thus, we present a distributed clustering algorithm for adaptive pandemic control.

【 授权许可】

Unknown