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A Probabilistic Infection Model for Efficient Trace-Prediction of Disease Outbreaks in Contact Networks
We propose a novel method which we call the Probabilistic Infection Model (PIM). Instead of stochastically assigning exactly one state to each agent at a time, PIM tracks the likelihood of each agent being in a particular state. Thus, a particular agent can exist in multiple disease states concurren...
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| Vydáno v: | Computational Science – ICCS 2020 |
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| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7302261/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-50371-0_50 |
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