Identification of Patient Zero in Static and Temporal Networks : Robustness and Limitations (CROSBI ID 219364)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Antulov-Fantulin, Nino ; Lančić, Alen ; Šmuc, Tomislav ; Štefančić, Hrvoje ; Šikić, Mile
engleski
Identification of Patient Zero in Static and Temporal Networks : Robustness and Limitations
Detection of patient zero can give new insights to epidemiologists about the nature of first transmissions into a population. In this Letter, we study the statistical inference problem of detecting the source of epidemics from a snapshot of spreading on an arbitrary network structure. By using exact analytic calculations and Monte Carlo estimators, we demonstrate the detectability limits for the susceptible infected-recovered model, which primarily depend on the spreading process characteristics. Finally, we demonstrate the applicability of the approach in a case of a simulated sexually transmitted infection spreading over an empirical temporal network of sexual interactions.
patient zero ; temporal networks
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Podaci o izdanju
114
2015.
248701-1-248701-5
objavljeno
0031-9007
10.1103/PhysRevLett.114.248701
Povezanost rada
Fizika, Računarstvo