A multilayer temporal network model for STD spreading accounting for permanent and casual partners.

ABSTRACT: Sexually transmitted diseases (STD) modeling has used contact networks to study the spreading of pathogens. Recent findings have stressed the increasing role of casual partners, often enabled by online dating applications. We study the Susceptible-Infected-Susceptible (SIS) epidemic model -appropriate for STDs- over a two-layer network aimed to account for the effect of casual partners in the spreading of STDs. In this novel model, individuals have a set of steady partnerships (links in layer 1). At certain rates, every individual can switch between active and inactive states and, while active, it establishes casual partnerships with some probability with active neighbors in layer 2 (whose links can be thought as potential casual partnerships). Individuals that are not engaged in casual pa

SUBMITTER: Vajdi A 

PROVIDER: S-EPMC7052224 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature