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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5577035/ https://www.ncbi.nlm.nih.gov/pubmed/28855718 http://dx.doi.org/10.1038/s41598-017-10340-y |