Journal article

Commentary on “Transparent modelling of influenza incidence”: On big data models for infectious disease forecasting

Publication status:: Published

Peer review status:: Peer reviewed

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APA Style

Ben Taieb, S., & Taylor, K. S. (2021). Commentary on “Transparent modelling of influenza incidence”: On big data models for infectious disease forecasting. International Journal of Forecasting, 38(2), 625–627.

MLA Style

Ben Taieb, S., and K. S. Taylor. “Commentary on ‘Transparent Modelling of Influenza Incidence’: On Big Data Models for Infectious Disease Forecasting.” International Journal of Forecasting, vol. 38, no. 2, Elsevier, 2021, pp. 625–27.

Chicago Style

Ben Taieb, S, and KS Taylor. 2021. “Commentary on ‘Transparent Modelling of Influenza Incidence’: On Big Data Models for Infectious Disease Forecasting.” International Journal of Forecasting 38 (2): 625–27.
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Files:: Ben_Taieb_and_Taylor_2021_commentary_on_transparent.pdf

(Preview, Accepted manuscript, pdf, 169.8KB, Terms of use)

Publisher copy:: 10.1016/j.ijforecast.2021.02.003

Authors

+ Ben Taieb, S More by this author

Role:: Author

+ Taylor, KS More by this author

Institution:: University of Oxford
Division:: MSD
Department:: Primary Care Health Sciences
Role:: Author

Publisher:: Elsevier
Journal:: International Journal of Forecasting More from this journal
Volume:: 38
Issue:: 2
Pages:: 625-627
Publication date:: 2021-03-23
Acceptance date:: 2021-02-08
DOI:: 10.1016/j.ijforecast.2021.02.003
ISSN:: 0169-2070

Language:: English
Keywords:: FFR
Pubs id:: 1171334
Local pid:: pubs:1171334
Deposit date:: 2022-03-16

Terms of use

Copyright holder:: International Institute of Forecasters
Copyright date:: 2021
Rights statement:: © 2021 International Institute of Forecasters. Published by Elsevier B.V. All rights reserved.
Notes:: This is the accepted manuscript version of the article. The final version is available from Elsevier at https://doi.org/10.1016/j.ijforecast.2021.02.003

Licence:: CC Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND)

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