Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines.
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...
| Publicado en: | PLoS Medicine Vol. 18; no. 10; pp. 1 - 13 |
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| Autores principales: | , , , , , , , , , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Public Library of Science
10/19/2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=153100975&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 153100975 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15491277 UIH jtl: PLoS Medicine issn: 15491277 maglogo: N pubinfo: dt: 10/19/2021 vid: 18 iid: 10 pid: 16707 pub: Public Library of Science place: San Francisco, California artinfo: ui: 153100975 153100975 NLM34665805 153100975 10.1371/journal.pmed.1003793 NLM34665805 153100975 ppf: 1 ppct: 12 formats: tig: atl: Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines. aug: au: 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. affil: Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America sug: ab: 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. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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