TY - JOUR

T1 - The basic reproduction number as a predictor for epidemic outbreaks in temporal networks

AU - Holme, Petter

AU - Masuda, Naoki

N1 - Publisher Copyright:
© 2015 Holme, Masuda.

PY - 2015/3/20

Y1 - 2015/3/20

N2 - The basic reproduction number R0-the number of individuals directly infected by an infectious person in an otherwise susceptible population -is arguably the most widely used estimator of how severe an epidemic outbreak can be. This severity can be more directly measured as the fraction of people infected once the outbreak is over, Ω. In traditional mathematical epidemiology and common formulations of static network epidemiology, there is a deterministic relationship between R0 and Ω. However, if one considers disease spreading on a temporal contact network-where one knows when contacts happen, not only between whom-then larger R0 does not necessarily imply larger Ω. In this paper, we numerically investigate the relationship between R0 and Ω for a set of empirical temporal networks of human contacts. Among 31 explanatory descriptors of temporal network structure, we identify those that make R0 an imperfect predictor of Ω.We find that descriptors related to both temporal and topological aspects affect the relationship between R0 and Ω, but in different ways.

AB - The basic reproduction number R0-the number of individuals directly infected by an infectious person in an otherwise susceptible population -is arguably the most widely used estimator of how severe an epidemic outbreak can be. This severity can be more directly measured as the fraction of people infected once the outbreak is over, Ω. In traditional mathematical epidemiology and common formulations of static network epidemiology, there is a deterministic relationship between R0 and Ω. However, if one considers disease spreading on a temporal contact network-where one knows when contacts happen, not only between whom-then larger R0 does not necessarily imply larger Ω. In this paper, we numerically investigate the relationship between R0 and Ω for a set of empirical temporal networks of human contacts. Among 31 explanatory descriptors of temporal network structure, we identify those that make R0 an imperfect predictor of Ω.We find that descriptors related to both temporal and topological aspects affect the relationship between R0 and Ω, but in different ways.

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U2 - 10.1371/journal.pone.0120567

DO - 10.1371/journal.pone.0120567

M3 - Article

C2 - 25793764

AN - SCOPUS:84925662848

VL - 10

JO - PLoS One

JF - PLoS One

SN - 1932-6203

IS - 3

M1 - e0120567

ER -