Predictive Mathematical Models of the COVID-19 Pandemic-Reference-Cited by-同舟云学术

Predictive Mathematical Models of the COVID-19 Pandemic

Published:2020-05-19 Issue:19 Volume:323 Page:1893
ISSN:0098-7484
Container-title:JAMA
language:en
Short-container-title:JAMA

Author:

Jewell Nicholas P.¹²,Lewnard Joseph A.²,Jewell Britta L.³

Affiliation:

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

Publisher

American Medical Association (AMA)

Subject

General Medicine

Link

https://jamanetwork.com/journals/jama/articlepdf/2764824/jama_jewell_2020_vp_200080.pdf

Reference7 articles.

1. Special report: the simulations driving the world’s response to COVID-19.;Adam;Nature,2020

2. What makes an academic paper useful for health policy?;Whitty;BMC Med,2015

3. @AdamJKucharski. Indeed, as this (aptly titled) piece suggests, complex models may be no more reliable than simple ones if they miss key aspects of the biology. Complex models can create the illusion of realism, and make it harder to spot crucial omissions https://www.pnas.org/content/103/33/12221. April 1, 2020. Accessed April 13, 2020. https://twitter.com/AdamJKucharski/status/1245336665691807744

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