A stochastic metapopulation state-space approach to modeling and estimating COVID-19 spread
Mathematical models are widely recognized as an important tool for analyzing and understanding the dynamics of infectious disease outbreaks, predict their future trends, and evaluate public health intervention measures for disease control and elimination. We propose a novel stochastic metapopulation...
Guardado en:
Autores principales: | Yukun Tan, Durward Cator III, Martial Ndeffo-Mbah, Ulisses Braga-Neto |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
AIMS Press
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/95326ea6d298413f9deb1de05bf51620 |
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