Pollett, Simon and Johansson, Michael A. and Reich, Nicholas G. and Brett-Major, David and Del Valle, Sara Y. and Venkatramanan, Srinivasan and Lowe, Rachel and Porco, Travis and Berry, Irina Maljkovic and Deshpande, Alina and Kraemer, Moritz U. G. and Blazes, David L. and Pan-ngum, Wirichada and Vespigiani, Alessandro and Mate, Suzanne E. and Silal, Sheetal P. and Kandula, Sasikiran and Sippy, Rachel and Quandelacy, Talia M. and Morgan, Jeffrey J. and Ball, Jacob and Morton, Lindsay C. and Althouse, Benjamin M. and Pavlin, Julie and van Panhuis, Wilbert and Riley, Steven and Biggerstaff, Matthew and Viboud, Cecile and Brady, Oliver and Rivers, Caitlin (2021) Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines. PLOS Medicine, 18 (10). e1003793. ISSN 1549-1676
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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 reporting epidemic forecasting and prediction research despite their utility. We therefore developed the EPIFORGE checklist, a guideline for standardized reporting of epidemic forecasting research.
Methods and findings
We developed this checklist using a best-practice process for development of reporting guidelines, involving a Delphi process and broad consultation with an international panel of infectious disease modelers and model end users. The objectives of these guidelines are to improve the consistency, reproducibility, comparability, and quality of epidemic forecasting reporting. The guidelines are not designed to advise scientists on how to perform epidemic forecasting and prediction research, but rather to serve as a standard for reporting critical methodological details of such studies.
Conclusions
These guidelines have been submitted to the EQUATOR network, in addition to hosting by other dedicated webpages to facilitate feedback and journal endorsement.
Item Type: | Article |
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Subjects: | SCI Archives > Medical Science |
Depositing User: | Managing Editor |
Date Deposited: | 25 Nov 2022 04:37 |
Last Modified: | 26 Aug 2024 08:00 |
URI: | http://science.classicopenlibrary.com/id/eprint/348 |