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Compensating for population sampling in simulations of epidemic spread on temporal contact networks
Data describing human interactions often suffer from incomplete sampling of the underlying population. As a consequence, the study of contagion processes using data-driven models can lead to a severe underestimation of the epidemic risk. Here we present a systematic method to alleviate this issue an...
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| Publicado no: | Nat Commun |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Pub. Group
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4660211/ https://ncbi.nlm.nih.gov/pubmed/26563418 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/ncomms9860 |
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