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Time-dependent probability distribution for number of infection in a stochastic SIS model: case study COVID-19
We derive the time-dependent probability distribution for the number of infected individuals at a given time in a stochastic Susceptible-Infected-Susceptible (SIS) epidemic model. The mean, variance, skewness, and kurtosis of the distribution are obtained as a function of time. We study the effect o...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Pergamon Press
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8112579/ https://www.ncbi.nlm.nih.gov/pubmed/33994678 http://dx.doi.org/10.1016/j.chaos.2021.110983 |