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A Bayesian Monte Carlo approach for predicting the spread of infectious diseases
In this paper, a simple yet interpretable, probabilistic model is proposed for the prediction of reported case counts of infectious diseases. A spatio-temporal kernel is derived from training data to capture the typical interaction effects of reported infections across time and space, which provides...
שמור ב:
| הוצא לאור ב: | PLoS One |
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| Main Authors: | , , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Public Library of Science
2019
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6919583/ https://ncbi.nlm.nih.gov/pubmed/31851680 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0225838 |
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