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The importance of including dynamic social networks when modeling epidemics of airborne infections: does increasing complexity increase accuracy?
Mathematical models are useful tools for understanding and predicting epidemics. A recent innovative modeling study by Stehle and colleagues addressed the issue of how complex models need to be to ensure accuracy. The authors collected data on face-to-face contacts during a two-day conference. They...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2011
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3158113/ https://www.ncbi.nlm.nih.gov/pubmed/21771292 http://dx.doi.org/10.1186/1741-7015-9-88 |