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Influenza spread on context-specific networks lifted from interaction-based diary data
Studying the spread of infections is an important tool in limiting or preventing future outbreaks. A first step in understanding disease dynamics is constructing networks that reproduce features of real-world interactions. In this paper, we generate networks that maintain some features of the partia...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Royal Society
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7890481/ https://www.ncbi.nlm.nih.gov/pubmed/33614059 http://dx.doi.org/10.1098/rsos.191876 |