Call for transparency of COVID-19 models

Barton, C.M., Alberti, M., Ames, D. et al. (28 more authors) (2020) Call for transparency of COVID-19 models. Science, 368 (6490). pp. 482-483. ISSN 0036-8075

Metadata

Authors/Creators:
  • Barton, C.M.
  • Alberti, M.
  • Ames, D.
  • Atkinson, J.-A.
  • Bales, J.
  • Burke, E.
  • Chen, M.
  • Diallo, S.Y.
  • Earn, D.J.D.
  • Fath, B.
  • Feng, Z.
  • Gibbons, C.
  • Hammond, R.
  • Heffernan, J.
  • Houser, H.
  • Hovmand, P.S.
  • Kopainsky, B.
  • Mabry, P.L.
  • Mair, C.
  • Meier, P. ORCID logo https://orcid.org/0000-0001-5354-1933
  • Niles, R.
  • Nosek, B.
  • Osgood, N.
  • Pierce, S.
  • Polhill, J.G.
  • Prosser, L.
  • Robinson, E.
  • Rosenzweig, C.
  • Sankaran, S.
  • Stange, K.
  • Tucker, G.
Copyright, Publisher and Additional Information: © 2020 The Authors.
Dates:
  • Published (online): 30 April 2020
  • Published: 1 May 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > Sheffield Centre for Health and Related Research
Funding Information:
FunderGrant number
Medical Research CouncilMR/S037578/1
Depositing User: Symplectic Sheffield
Date Deposited: 26 May 2020 11:14
Last Modified: 26 May 2020 11:14
Status: Published
Publisher: American Association for the Advancement of Science (AAAS)
Identification Number: https://doi.org/10.1126/science.abb8637
Related URLs:

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