Continuous-time stochastic processes for the spread of COVID-19 disease simulated via a Monte Carlo approach and comparison with deterministic models

Fabiana Calleri, Giovanni Nastasi, Vittorio Romano

Open source

DOI
10.1007/s00285-021-01657-4
Published
2021-09-14
Container
Journal of Mathematical Biology
Publisher
Springer Science and Business Media LLC
Open access
unknown

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BibTeX

@article{allodium:10.1007/s00285-021-01657-4,
  title = {Continuous-time stochastic processes for the spread of COVID-19 disease simulated via a Monte Carlo approach and comparison with deterministic models},
  author = {Fabiana Calleri and Giovanni Nastasi and Vittorio Romano},
  year = {2021},
  journal = {Journal of Mathematical Biology},
  doi = {10.1007/s00285-021-01657-4},
  url = {https://doi.org/10.1007/s00285-021-01657-4}
}

RIS

TY  - JOUR
TI  - Continuous-time stochastic processes for the spread of COVID-19 disease simulated via a Monte Carlo approach and comparison with deterministic models
AU  - Fabiana Calleri
AU  - Giovanni Nastasi
AU  - Vittorio Romano
PY  - 2021
JO  - Journal of Mathematical Biology
DO  - 10.1007/s00285-021-01657-4
UR  - https://doi.org/10.1007/s00285-021-01657-4
ER  - 

APA

Calleri, F., Nastasi, G., & Romano, V. (2021). Continuous-time stochastic processes for the spread of COVID-19 disease simulated via a Monte Carlo approach and comparison with deterministic models. Journal of Mathematical Biology. https://doi.org/10.1007/s00285-021-01657-4

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