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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
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.
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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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