Data-driven contact structures: From homogeneous mixing to multilayer networks.

ABSTRACT: The modeling of the spreading of communicable diseases has experienced significant advances in the last two decades or so. This has been possible due to the proliferation of data and the development of new methods to gather, mine and analyze it. A key role has also been played by the latest advances in new disciplines like network science. Nonetheless, current models still lack a faithful representation of all possible heterogeneities and features that can be extracted from data. Here, we bridge a current gap in the mathematical modeling of infectious diseases and develop a framework that allows to account simultaneously for both the connectivity of individuals and the age-structure of the population. We compare different scenarios, namely, i) the homogeneous mixing setting, ii) one in whi

SUBMITTER: Aleta A 

PROVIDER: S-EPMC7386617 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature