Modelling COVID-19

As the COVID-19 pandemic continues, mathematical epidemiologists share their views on what models reveal about how the disease has spread, the current state of play and what work still needs to be done.

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Dades bibliogràfiques
Publicat a:Nat Rev Phys
Autors principals: Vespignani, Alessandro, Tian, Huaiyu, Dye, Christopher, Lloyd-Smith, James O., Eggo, Rosalind M., Shrestha, Munik, Scarpino, Samuel V., Gutierrez, Bernardo, Kraemer, Moritz U. G., Wu, Joseph, Leung, Kathy, Leung, Gabriel M.
Format: Artigo
Idioma:Inglês
Publicat: Nature Publishing Group UK 2020
Matèries:
Viewpoint
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7201389/
https://ncbi.nlm.nih.gov/pubmed/33728401
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s42254-020-0178-4
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