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.

Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Viewpoint
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7201389/
https://www.ncbi.nlm.nih.gov/pubmed/33728401
http://dx.doi.org/10.1038/s42254-020-0178-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7201389/
https://www.ncbi.nlm.nih.gov/pubmed/33728401
http://dx.doi.org/10.1038/s42254-020-0178-4

Ejemplares similares