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Identifying Spatial Invasion of Pandemics on Metapopulation Networks Via Anatomizing Arrival History
Spatial spread of infectious diseases among populations via the mobility of humans is highly stochastic and heterogeneous. Accurate forecast/mining of the spread process is often hard to be achieved by using statistical or mechanical models. Here we propose a new reverse problem, which aims to ident...
Formato: | Online Artículo Texto |
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Lenguaje: | English |
Publicado: |
IEEE
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7186038/ https://www.ncbi.nlm.nih.gov/pubmed/26571544 http://dx.doi.org/10.1109/TCYB.2015.2489702 |
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