Article ; Online: Local approximation of Markov chains in time and space.
Journal of biological dynamics
2019 Volume 13, Issue sup1, Page(s) 265–287
Abstract: In epidemic modelling, the emergence of a disease is characterized by the low numbers of infectious individuals. Environmental randomness impacts outcomes such as the outbreak or extinction of the disease in this case. This randomness can be accounted ... ...
Abstract | In epidemic modelling, the emergence of a disease is characterized by the low numbers of infectious individuals. Environmental randomness impacts outcomes such as the outbreak or extinction of the disease in this case. This randomness can be accounted for by modelling the system as a continuous time Markov chain, |
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MeSH term(s) | Basic Reproduction Number ; Communicable Diseases/epidemiology ; Markov Chains ; Models, Biological ; Probability ; Time Factors |
Language | English |
Publishing date | 2019-01-24 |
Publishing country | England |
Document type | Journal Article ; Research Support, U.S. Gov't, Non-P.H.S. |
ISSN | 1751-3766 |
ISSN (online) | 1751-3766 |
DOI | 10.1080/17513758.2019.1569269 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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