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Mathematical prediction of the time evolution of the COVID-19 pandemic in Italy by a Gauss error function and Monte Carlo simulations
In this paper are presented mathematical predictions on the evolution in time of the number of positive cases in Italy of the COVID-19 pandemic based on official data and on the use of a function of the type of a Gauss error function, with four parameters, as a cumulative distribution function. We h...
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| Published in: | Eur Phys J Plus |
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| Main Authors: | , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Springer Berlin Heidelberg
2020
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7156796/ https://ncbi.nlm.nih.gov/pubmed/32309108 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1140/epjp/s13360-020-00383-y |
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