A random walk Monte Carlo simulation study of COVID-19-like infection spread

Recent analysis of early COVID-19 data from China showed that the number of confirmed cases followed a subexponential power-law increase, with a growth exponent of around 2.2 (Maier and Brockmann, 2020). The power-law behavior was attributed to a combination of effective containment and mitigation m...

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Detalles Bibliográficos
Autores principales: Triambak, S., Mahapatra, D.P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8047309/
https://www.ncbi.nlm.nih.gov/pubmed/33875903
http://dx.doi.org/10.1016/j.physa.2021.126014

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8047309/
https://www.ncbi.nlm.nih.gov/pubmed/33875903
http://dx.doi.org/10.1016/j.physa.2021.126014

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