Repository logo
  • Log In
    Log in via Symplectic to deposit your publication(s).
Repository logo
  • Communities & Collections
  • Research Outputs
  • Statistics
  • Log In
    Log in via Symplectic to deposit your publication(s).
  1. Home
  2. Faculty of Medicine
  3. School of Public Health
  4. School of Public Health
  5. Applications of predictive modelling early in the COVID-19 epidemic.
 
  • Details
Applications of predictive modelling early in the COVID-19 epidemic.
File(s)
Applications of predictive modelling early in the COVID-19 epidemic.pdf (106.74 KB)
Published version
Author(s)
Poletto, Chiara
Scarpino, Samuel V
Volz, Erik M
Type
Journal Article
Date Issued
2020-10
Date Acceptance
2020-08-01
Citation
The Lancet Digital Health, 2020, 2 (10), pp.e498-e499
URI
http://hdl.handle.net/10044/1/83309
URL
https://www.sciencedirect.com/science/article/pii/S2589750020301965?via%3Dihub
DOI
https://www.dx.doi.org/10.1016/S2589-7500(20)30196-5
ISSN
2589-7500
Publisher
Elsevier
Start Page
e498
End Page
e499
Journal / Book Title
The Lancet Digital Health
Volume
2
Issue
10
Copyright Statement
© 2020 The Author(s). Under a Creative Commons license https://creativecommons.org/licenses/by/4.0/
License URL
https://creativecommons.org/licenses/by/4.0/
Sponsor
Medical Research Council (MRC)
Commission of the European Communities
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/32838252
PII: S2589-7500(20)30196-5
Grant Number
MR/R015600/1
101003653
Publication Status
Published
Coverage Spatial
England
Date Publish Online
2020-08-10
About
Spiral Depositing with Spiral Publishing with Spiral Symplectic
Contact us
Open access team Report an issue
Other Services
Scholarly Communications Library Services
logo

Imperial College London

South Kensington Campus

London SW7 2AZ, UK

tel: +44 (0)20 7589 5111

Accessibility Modern slavery statement Cookie Policy

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback