OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany.
Mathematical models in epidemiology are an indispensable tool to determine the dynamics and important characteristics of infectious diseases. Apart from their scientific merit, these models are often used to inform political decisions and interventional measures during an ongoing outbreak. However,...
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| Lenguaje: | EN |
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Public Library of Science (PLoS)
2021
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| Acceso en línea: | https://doaj.org/article/c2ab8101c9a24307b30cefb605157c82 |
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por Stefan T. Radev, Frederik Graw, Simiao Chen, Nico T. Mutters, Vanessa M. Eichel, Till Bärnighausen, Ullrich Köthe
Publicado 2021
Enlace del recursoPublicado 2021
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