Preserving friendships in school contacts: An algorithm to construct synthetic temporal networks for epidemic modelling.

ABSTRACT: High-resolution temporal data on contacts between hosts provide crucial information on the mixing patterns underlying infectious disease transmission. Publicly available data sets of contact data are however typically recorded over short time windows with respect to the duration of an epidemic. To inform models of disease transmission, data are thus often repeated several times, yielding synthetic data covering long enough timescales. Looping over short term data to approximate contact patterns on longer timescales can lead to unrealistic transmission chains because of the deterministic repetition of all contacts, without any renewal of the contact partners of each individual between successive periods. Real contacts indeed include a combination of regularly repeated contacts (e.g., due to

SUBMITTER: Calmon L 

PROVIDER: S-EPMC11676524 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature