Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines

Pollett, Simon; A. Johansson, Michael; G Reich, Nicholas; M. Brett-Major, David; Y. Del Valle, Sara; Venkatramanan, Srinivasan; Lowe, Rachel; C. Porco, Travis; Maljkovic Berry, Irina; Deshpande, Alina; U. G. Kraemer, Moritz; L. Blazes, David; Pan–ngum, Wirichada; Vespigiani, Alessandro; Mate, Suzanne; Silal, Sheetal; Kandula, Sasikiran; Sippy, Rachel; M. Quandelacy, Talía; J. Morgan, Jeffrey; D. Ball, Jacob; Morton, Lindsay; M. Althouse, Benjamin; A. Pavlin, Julie; G. van Panhuis, Willem; Riley, Steven; Biggerstaff, Matthew; Viboud, Cécile; J. Brady, Oliver; Rivers, Caitlin

doi:10.1371/journal.pmed.1003793

Public

Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines

Published in PLoS Medicine • Oct 19, 2021

Authors:

Simon Pollett

Michael A. Johansson

Nicholas G Reich

Abstract

BACKGROUND: The importance of infectious disease epidemic forecasting and prediction research is underscored by decades of communicable disease outbreaks, including COVID-19. Unlike other fields of medical research, such as clinical trials and systematic reviews, no reporting guidelines exist for re...

Subject

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Comparability

Delphi method

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