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Accounting for non-stationarity in epidemiology by embedding time-varying parameters in stochastic models
The spread of disease through human populations is complex. The characteristics of disease propagation evolve with time, as a result of a multitude of environmental and anthropic factors, this non-stationarity is a key factor in this huge complexity. In the absence of appropriate external data sourc...
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| Veröffentlicht in: | PLoS Comput Biol |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6110518/ https://ncbi.nlm.nih.gov/pubmed/30110322 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1006211 |
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