Prediction and prevention of pandemics via graphical model inference and convex programming

Hard-to-predict bursts of COVID-19 pandemic revealed significance of statistical modeling which would resolve spatio-temporal correlations over geographical areas, for example spread of the infection over a city with census tract granularity. In this manuscript, we provide algorithmic answers to the...

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Detalles Bibliográficos
Autores principales: Krechetov, Mikhail, Esmaieeli Sikaroudi, Amir Mohammad, Efrat, Alon, Polishchuk, Valentin, Chertkov, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9084276/
https://www.ncbi.nlm.nih.gov/pubmed/35534669
http://dx.doi.org/10.1038/s41598-022-11705-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9084276/
https://www.ncbi.nlm.nih.gov/pubmed/35534669
http://dx.doi.org/10.1038/s41598-022-11705-8

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