Stochastic modelling of infectious diseases for heterogeneous populations

BACKGROUND: Infectious diseases such as SARS and H1N1 can significantly impact people’s lives and cause severe social and economic damages. Recent outbreaks have stressed the urgency of effective research on the dynamics of infectious disease spread. However, it is difficult to predict when and wher...

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Detalles Bibliográficos
Autores principales: Ming, Rui-Xing, Liu, Ji-Ming, W. Cheung, William K., Wan, Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5178099/
https://www.ncbi.nlm.nih.gov/pubmed/28003016
http://dx.doi.org/10.1186/s40249-016-0199-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5178099/
https://www.ncbi.nlm.nih.gov/pubmed/28003016
http://dx.doi.org/10.1186/s40249-016-0199-5

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