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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
The Royal Society
2021-01-01
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| Series: | Royal Society Open Science |
| Subjects: | |
| Online Access: | https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.191876 |