Cargando…
Activity-driven network modeling and control of the spread of two concurrent epidemic strains
The emergency generated by the current COVID-19 pandemic has claimed millions of lives worldwide. There have been multiple waves across the globe that emerged as a result of new variants, due to arising from unavoidable mutations. The existing network toolbox to study epidemic spreading cannot be re...
Autores principales: | Burbano Lombana, Daniel Alberto, Zino, Lorenzo, Butail, Sachit, Caroppo, Emanuele, Jiang, Zhong-Ping, Rizzo, Alessandro, Porfiri, Maurizio |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9514203/ https://www.ncbi.nlm.nih.gov/pubmed/36186912 http://dx.doi.org/10.1007/s41109-022-00507-6 |
Ejemplares similares
-
Urban Determinants of COVID-19 Spread: a Comparative Study across Three Cities in New York State
por: Truszkowska, Agnieszka, et al.
Publicado: (2022) -
A multi-agent model to study epidemic spreading and vaccination strategies in an urban-like environment
por: Nadini, Matthieu, et al.
Publicado: (2020) -
Toward a Realistic Modeling of Epidemic Spreading with Activity Driven Networks
por: Rizzo, Alessandro, et al.
Publicado: (2017) -
Modelling and predicting the effect of social distancing and travel restrictions on COVID-19 spreading
por: Parino, Francesco, et al.
Publicado: (2021) -
Collective Response of Zebrafish Shoals to a Free-Swimming Robotic Fish
por: Butail, Sachit, et al.
Publicado: (2013)