Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Optimising the mitigation of epidemic spreading through targeted
  adoption of contact tracing apps   The ongoing COVID-19 pandemic is the first epidemic in human history in which
digital contact-tracing has been deployed at a global scale. Tracking and
quarantining all the contacts of individuals who test positive to a virus can
help slowing-down an epidemic, but the impact of contact-tracing is severely
limited by the generally low adoption of contact-tracing apps in the
population. We derive here an analytical expression for the effectiveness of
contact-tracing app installation strategies in a SIR model on a given contact
graph. We propose a decentralised heuristic to improve the effectiveness of
contact tracing under fixed adoption rates, which targets a set of individuals
to install contact-tracing apps, and can be easily implemented. Simulations on
a large number of real-world contact networks confirm that this heuristic
represents a feasible alternative to the current state of the art.

31
The categories of this paper are: ao-sci
18
The categories of this paper are: econ
4
The categories of this paper are: cond-mat
9
The categories of this paper are: nlin
37
The categories of this paper are: supr-con
25
The categories of this paper are: patt-sol
30
The categories of this paper are: q-alg
27
The categories of this paper are: comp-gas
35
The categories of this paper are: mtrl-th
19
The categories of this paper are: eess
11
The categories of this paper are: hep-lat
32
The categories of this paper are: atom-ph
17
The categories of this paper are: q-fin
23
The categories of this paper are: solv-int
5
The categories of this paper are: gr-qc
14
The categories of this paper are: math-ph