Bayesian nonparametric inference for heterogeneously mixing infectious disease models
Sign Up to like & getrecommendations! Published in 2022 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2118425119
Abstract: Significance Mathematical models of infectious disease transmission continue to play a vital role in understanding, mitigating, and preventing outbreaks. The vast majority of epidemic models in the literature are parametric, meaning that they contain inherent… read more here.
Keywords: nonparametric inference; transmission; inference heterogeneously; infectious disease ... See more keywords