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Estimating the epidemic risk using non-uniformly sampled contact data
Many datasets describing contacts in a population suffer from incompleteness due to population sampling and underreporting of contacts. Data-driven simulations of spreading processes using such incomplete data lead to an underestimation of the epidemic risk, and it is therefore important to devise m...
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| Pubblicato in: | Sci Rep |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Publishing Group UK
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5577035/ https://ncbi.nlm.nih.gov/pubmed/28855718 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-017-10340-y |
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