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

Research output: Contribution to journal › Review article › peer-review

173 Scopus citations

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.

Original language	English
Pages (from-to)	279-281
Number of pages	3
Journal	Nature Reviews Physics
Volume	2
Issue number	6
DOIs	https://doi.org/10.1038/s42254-020-0178-4
State	Published - 1 Jun 2020

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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.}",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Limited.",

year = "2020",

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doi = "10.1038/s42254-020-0178-4",

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T1 - Modelling COVID-19

AU - Vespignani, Alessandro

AU - Tian, Huaiyu

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.

PY - 2020/6/1

Y1 - 2020/6/1

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.

AB - 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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U2 - 10.1038/s42254-020-0178-4

DO - 10.1038/s42254-020-0178-4

M3 - Artículo de revisión

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SN - 2522-5820

VL - 2

SP - 279

EP - 281

JO - Nature Reviews Physics

JF - Nature Reviews Physics

IS - 6

ER -

Modelling COVID-19

Abstract

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