5 papers
Heterogeneous behavioral mechanisms in epidemiological models
Jessica Pavani, Rob Deardon, Alexandra M. Schmidt
Traditional epidemic models frequently assume behavioral homogeneity. The susceptible-infected-recovered model provides a robust foundation for characterizing disease transmission,…
Multivariable Behavioral Change Modeling of Epidemics in the Presence of Undetected Infections
Caitlin Ward, Rob Deardon, Alexandra M. Schmidt
Epidemic models are invaluable tools to understand and implement strategies to control the spread of infectious diseases, as well as to inform public health policies and resource a…
Hidden Markov Individual-level Models of Infectious Disease Transmission
Dirk Douwes-Schultz, Rob Deardon, Alexandra M. Schmidt
Individual-level epidemic models are increasingly being used to help understand the transmission dynamics of various infectious diseases. However, fitting such models to individual…
Markov switching zero-inflated space-time multinomial models for comparing multiple infectious diseases
Dirk Douwes-Schultz, Alexandra M. Schmidt, LaÃs Picinini Freitas +1
Univariate zero-inflated models are increasingly being used to account for excess zeros in spatio-temporal infectious disease counts. However, the multivariate case is challenging…
A Comparison between Markov Switching Zero-inflated and Hurdle Models for Spatio-temporal Infectious Disease Counts
Mingchi Xu, Dirk Douwes-Schultz, Alexandra M. Schmidt
In epidemiological studies, zero-inflated and hurdle models are commonly used to handle excess zeros in reported infectious disease cases. However, they can not model the persisten…