Modelling COVID-19

Alessandro Vespignani; Huaiyu Tian; Christopher Dye; James O. Lloyd-Smith; Rosalind M. Eggo; Munik Shrestha; Samuel V. Scarpino; Bernardo Gutierrez; Moritz U.G. Kraemer; Joseph Wu; Kathy Leung; Gabriel M. Leung

doi:10.1038/s42254-020-0178-4

Modelling COVID-19

Alessandro Vespignani, Huaiyu Tian, Christopher Dye, James O. Lloyd-Smith, Rosalind M. Eggo, Munik Shrestha, Samuel V. Scarpino, Bernardo Gutierrez, Moritz U.G. Kraemer, Joseph Wu, Kathy Leung, Gabriel M. Leung

Biotecnología

Producción científica: Contribución a una revista › Artículo de revisión › revisión exhaustiva

170 Citas (Scopus)

Resumen

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.

Idioma original	Inglés
Páginas (desde-hasta)	279-281
Número de páginas	3
Publicación	Nature Reviews Physics
Volumen	2
N.º	6
DOI	https://doi.org/10.1038/s42254-020-0178-4
Estado	Publicada - 1 jun. 2020

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10.1038/s42254-020-0178-4

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title = "Modelling COVID-19",

abstract = "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.",

author = "Alessandro Vespignani and Huaiyu Tian and Christopher Dye and Lloyd-Smith, {James O.} and Eggo, {Rosalind M.} and Munik Shrestha and Scarpino, {Samuel V.} and Bernardo Gutierrez and Kraemer, {Moritz U.G.} and Joseph Wu and Kathy Leung and Leung, {Gabriel M.}",

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AU - Vespignani, Alessandro

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AU - Dye, Christopher

AU - Lloyd-Smith, James O.

AU - Eggo, Rosalind M.

AU - Shrestha, Munik

AU - Scarpino, Samuel V.

AU - Gutierrez, Bernardo

AU - Kraemer, Moritz U.G.

AU - Wu, Joseph

AU - Leung, Kathy

AU - Leung, Gabriel M.

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N2 - 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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Modelling COVID-19

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