Data di Pubblicazione:
2023
Abstract:
Human mobility is a key driver of infectious disease spread. Recent literature has uncovered a clear pattern underlying the
complexity of human mobility in cities: r· f , the product of distance traveled r and frequency of return f per user to a given
location, is invariant across space. This paper asks whether the invariant r· f also serves as a driver for epidemic spread, so
that the risk associated with human movement can be modeled by a unifying variable r· f . We use two large-scale datasets of
individual human mobility to show that there is in fact a simple relation between r and f and both speed and spatial dispersion of
disease spread. This discovery could assist in modeling spread of disease and inform travel policies in future epidemics--based
not only on travel distance r but also on frequency of return f .
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
epidemic modeling; mobility modeling
Elenco autori:
Santi, Paolo
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