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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8525759/ https://www.ncbi.nlm.nih.gov/pubmed/34665805 http://dx.doi.org/10.1371/journal.pmed.1003793 |
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author | 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 |
author_facet | 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 |
author_sort | Pollett, Simon |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8525759 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-85257592021-10-20 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 PLoS Med Guidelines and Guidance 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. Public Library of Science 2021-10-19 /pmc/articles/PMC8525759/ /pubmed/34665805 http://dx.doi.org/10.1371/journal.pmed.1003793 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Guidelines and Guidance 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 Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines |
title | Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines |
title_full | Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines |
title_fullStr | Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines |
title_full_unstemmed | Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines |
title_short | Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines |
title_sort | recommended reporting items for epidemic forecasting and prediction research: the epiforge 2020 guidelines |
topic | Guidelines and Guidance |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8525759/ https://www.ncbi.nlm.nih.gov/pubmed/34665805 http://dx.doi.org/10.1371/journal.pmed.1003793 |
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