Predictive Mathematical Models of the COVID-19 Pandemic: Underlying Principles and Value of Projections

Jewell, Nicholas P.; Lewnard, Joseph A.; Jewell, Britta L

doi:10.1001/jama.2020.6585

Record: found
Abstract: found
Article: found

Predictive Mathematical Models of the COVID-19 Pandemic : Underlying Principles and Value of Projections

Author(s): Nicholas P. Jewell ¹ ^, ² , Joseph A. Lewnard ² , Britta L. Jewell ³

Publication date (Electronic): April 16 2020

Journal: JAMA

Publisher: American Medical Association (AMA)

Read this article at

ScienceOpenPublisher PubMed

Bookmark

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Related collections

Author and article information

Journal

Title: JAMA

Abbreviated Title: JAMA

Publisher: American Medical Association (AMA)

ISSN (Print): 0098-7484

Publication date (Electronic): April 16 2020

Affiliations

[1 ]Department of Medical Statistics, London School of Hygiene & Tropical Medicine, London, United Kingdom

[2 ]Division of Epidemiology & Biostatistics, School of Public Health, University of California, Berkeley

[3 ]MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics, and Department of Infectious Disease Epidemiology, Imperial College, London, United Kingdom

Article

DOI: 10.1001/jama.2020.6585

PubMed ID: 32297897

SO-VID: 648badb9-46cc-40c7-b60e-0b1d4777de54

History

Data availability:

Comments

Comment on this article

scite_

Cited by 134

See all cited by

- Version 1