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Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines.
Pollett, Simon; Johansson, Michael A; Reich, Nicholas G; Brett-Major, David; Del Valle, Sara Y; Venkatramanan, Srinivasan; Lowe, Rachel; Porco, Travis; Berry, Irina Maljkovic; Deshpande, Alina; Kraemer, Moritz U G; Blazes, David L; Pan-Ngum, Wirichada; Vespigiani, Alessandro; Mate, Suzanne E; Silal, Sheetal P; Kandula, Sasikiran; Sippy, Rachel; Quandelacy, Talia M; Morgan, Jeffrey J; Ball, Jacob; Morton, Lindsay C; Althouse, Benjamin M; Pavlin, Julie; van Panhuis, Wilbert; Riley, Steven; Biggerstaff, Matthew; Viboud, Cecile; Brady, Oliver; Rivers, Caitlin.
  • Pollett S; Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America.
  • Johansson MA; Division of Vector-Borne Diseases, Centers for Disease Control & Prevention, San Juan, Puerto Rico, United States of America.
  • Reich NG; University of Massachusetts-Amherst, School of Public Health and Health Sciences, Amherst, Massachusetts, United States of America.
  • Brett-Major D; University of Nebraska Medical Center, Omaha, Nebraska, United States of America.
  • Del Valle SY; Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.
  • Venkatramanan S; Biocomplexity Institute and Initiative, University of Virginia, Charlottesville, Virginia, United States of America.
  • Lowe R; Centre for Mathematical Modelling of Infectious Diseases and Centre on Climate Change and Planetary Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
  • Porco T; Barcelona Institute for Global Health, Barcelona, Spain.
  • Berry IM; University of California at San Francisco, San Francisco, California, United States of America.
  • Deshpande A; Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America.
  • Kraemer MUG; Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.
  • Blazes DL; Department of Zoology, University of Oxford, Oxford, United Kingdom.
  • Pan-Ngum W; Bill and Melinda Gates Foundation, Seattle, Washington, United States of America.
  • Vespigiani A; Mahidol-Oxford Tropical Medicine Research Unit and Department of Tropical Hygiene, Mahidol University, Thailand.
  • Mate SE; Network Science Institute, Northeastern University, Boston, Massachusetts, United States of America.
  • Silal SP; Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America.
  • Kandula S; Modelling and Simulation Hub, Africa, Department of Statistical Sciences, University of Cape Town, Cape Town, South Africa.
  • Sippy R; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • Quandelacy TM; Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York City, New York, United States of America.
  • Morgan JJ; Institute for Global Health and Translational Science, State University of New York Upstate Medical University, Syracuse, New York, United States of America.
  • Ball J; Division of Vector-Borne Diseases, Centers for Disease Control & Prevention, San Juan, Puerto Rico, United States of America.
  • Morton LC; Catholic University of America, Washington, DC, United States of America.
  • Althouse BM; U.S. Army Public Health Center, Edgewood, Maryland, United States of America.
  • Pavlin J; Armed Forces Health Surveillance Division, Global Emerging Infections Surveillance, Silver Spring, Maryland, United States of America.
  • van Panhuis W; George Washington University, Milken Institute School of Public Health, Washington, DC, United States of America.
  • Riley S; University of Washington, Seattle, Washington, United States of America.
  • Biggerstaff M; Institute for Disease Modeling, Bellevue, Washington, United States of America.
  • Viboud C; New Mexico State University, Las Cruces, New Mexico, United States of America.
  • Brady O; National Academies of Sciences, Engineering, and Medicine, Washington, DC, United States of America.
  • Rivers C; University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania, United States of America.
PLoS Med ; 18(10): e1003793, 2021 10.
Article in English | MEDLINE | ID: covidwho-1477510
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.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Research Design / Guidelines as Topic / Biomedical Research / Checklist / Epidemics / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: PLoS Med Journal subject: Medicine Year: 2021 Document Type: Article Affiliation country: Journal.pmed.1003793

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Research Design / Guidelines as Topic / Biomedical Research / Checklist / Epidemics / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: PLoS Med Journal subject: Medicine Year: 2021 Document Type: Article Affiliation country: Journal.pmed.1003793