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

Research output: Contribution to journalReview articlepeer-review

149 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 languageEnglish
Pages (from-to)279-281
Number of pages3
JournalNature Reviews Physics
Volume2
Issue number6
DOIs
StatePublished - 1 Jun 2020

Fingerprint

Dive into the research topics of 'Modelling COVID-19'. Together they form a unique fingerprint.

Cite this