Signal propagation in complex networks drives epidemics, is responsible for information
going viral, promotes trust and facilitates moral behavior in social groups, enables the …

Abstract Background Individual-based models (IBMs) are useful to simulate events subject
to stochasticity and/or heterogeneity, and have become well established to model the …

Social contact patterns among individuals encode the transmission route of infectious
diseases and are a key ingredient in the realistic characterization and modeling of …

The epidemic dynamics of infectious diseases vary among cities, but it is unclear how this is
caused by patterns of infectious contact among individuals. Here, we ask whether systematic …

The modeling of large-scale communicable epidemics has greatly benefited in the last years
from the increasing availability of highly detailed data. Particullarly, in order to achieve …

Rationale: Household contact tracing has recently been endorsed for global tuberculosis
(TB) control, but its potential population-level impact remains uncertain. Objectives: To …

Computational and mathematical models rely heavily on estimated parameter values for
model development. Identifiability analysis determines how well the parameters of a model …

Computer-simulated synthetic populations are used by researchers and policy makers to
help understand and predict the aggregate behaviour of large numbers of individuals …

Background Tuberculosis is endemic in Cape Town, South Africa where a majority of the
population become tuberculosis infected before adulthood. While social contact patterns …

The demographic structure of populations in both more developed and less developed
countries is changing: increases in life expectancy and declining fertility have led to older …