TY - JOUR
AU - Yilmaz, Serife
AU - Dudkina, Ekaterina
AU - Bin, Michelangelo
AU - Crisostomi, Emanuele
AU - Ferraro, Pietro
AU - Murray-Smith, Roderick
AU - Parisini, Thomas
AU - Stone, Lewi
AU - Shorten, Robert
PY - 2020
DA - November
TI - Kemeny-based testing for COVID-19
JO - Plos One
VL - 5
IS - 11
DO - https://doi.org/10.1371/journal.pone.0242401
AB - Testing, tracking and tracing abilities have been identified as pivotal in helping countries to safely reopen activities after the first wave of the COVID-19 virus. Contact tracing apps give the unprecedented possibility to reconstruct graphs of daily contacts, so the question is: who should be tested? As human contact networks are known to exhibit community structure, in this paper we show that the Kemeny constant of a graph can be used to identify and analyze bridges between communities in a graph. Our ‘Kemeny indicator’ is the value of the Kemeny constant in the new graph that is obtained when a node is removed from the original graph. We show that testing individuals who are associated with large values of the Kemeny indicator can help in efficiently intercepting new virus outbreaks, when they are still in their early stage. Extensive simulations provide promising results in early identification and in blocking the possible ‘super-spreaders’ links that transmit disease between different communities.
PB - Public Library of Science
UR - http://eprints.gla.ac.uk/225890/
KW - Coronavirus (COVID-19)
ER