Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines.
Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines.
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DOI:
10.1371/journal.pmed.1003793
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发表时间:
2021-10
期刊:
影响因子:
15.8
通讯作者:
Rivers C
中科院分区:
文献类型:
--
作者:
Pollett S;Johansson MA;Reich NG;Brett-Major D;Del Valle SY;Venkatramanan S;Lowe R;Porco T;Berry IM;Deshpande A;Kraemer MUG;Blazes DL;Pan-Ngum W;Vespigiani A;Mate SE;Silal SP;Kandula S;Sippy R;Quandelacy TM;Morgan JJ;Ball J;Morton LC;Althouse BM;Pavlin J;van Panhuis W;Riley S;Biggerstaff M;Viboud C;Brady O;Rivers C
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. 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. These guidelines have been submitted to the EQUATOR network, in addition to hosting by other dedicated webpages to facilitate feedback and journal endorsement. Simon Pollett and co-workers describe EPIFORGE, a guideline for reporting research on epidemic forecasting.
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