Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines.
<h4>Background</h4>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 guid...
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Public Library of Science (PLoS)
2021
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oai:doaj.org-article:fc1761a3921747ac8ce19dfe4e62320d2021-12-02T19:55:44ZRecommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines.1549-12771549-167610.1371/journal.pmed.1003793https://doaj.org/article/fc1761a3921747ac8ce19dfe4e62320d2021-10-01T00:00:00Zhttps://doi.org/10.1371/journal.pmed.1003793https://doaj.org/toc/1549-1277https://doaj.org/toc/1549-1676<h4>Background</h4>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.<h4>Methods and findings</h4>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.<h4>Conclusions</h4>These guidelines have been submitted to the EQUATOR network, in addition to hosting by other dedicated webpages to facilitate feedback and journal endorsement.Simon PollettMichael A JohanssonNicholas G ReichDavid Brett-MajorSara Y Del ValleSrinivasan VenkatramananRachel LoweTravis PorcoIrina Maljkovic BerryAlina DeshpandeMoritz U G KraemerDavid L BlazesWirichada Pan-NgumAlessandro VespigianiSuzanne E MateSheetal P SilalSasikiran KandulaRachel SippyTalia M QuandelacyJeffrey J MorganJacob BallLindsay C MortonBenjamin M AlthouseJulie PavlinWilbert van PanhuisSteven RileyMatthew BiggerstaffCecile ViboudOliver BradyCaitlin RiversPublic Library of Science (PLoS)articleMedicineRENPLoS Medicine, Vol 18, Iss 10, p e1003793 (2021) |
| institution |
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| collection |
DOAJ |
| language |
EN |
| topic |
Medicine R |
| spellingShingle |
Medicine R Simon Pollett Michael A Johansson Nicholas G Reich David Brett-Major Sara Y Del Valle Srinivasan Venkatramanan Rachel Lowe Travis Porco Irina Maljkovic Berry Alina Deshpande Moritz U G Kraemer David L Blazes Wirichada Pan-Ngum Alessandro Vespigiani Suzanne E Mate Sheetal P Silal Sasikiran Kandula Rachel Sippy Talia M Quandelacy Jeffrey J Morgan Jacob Ball Lindsay C Morton Benjamin M Althouse Julie Pavlin Wilbert van Panhuis Steven Riley Matthew Biggerstaff Cecile Viboud Oliver Brady Caitlin Rivers Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines. |
| description |
<h4>Background</h4>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.<h4>Methods and findings</h4>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.<h4>Conclusions</h4>These guidelines have been submitted to the EQUATOR network, in addition to hosting by other dedicated webpages to facilitate feedback and journal endorsement. |
| format |
article |
| author |
Simon Pollett Michael A Johansson Nicholas G Reich David Brett-Major Sara Y Del Valle Srinivasan Venkatramanan Rachel Lowe Travis Porco Irina Maljkovic Berry Alina Deshpande Moritz U G Kraemer David L Blazes Wirichada Pan-Ngum Alessandro Vespigiani Suzanne E Mate Sheetal P Silal Sasikiran Kandula Rachel Sippy Talia M Quandelacy Jeffrey J Morgan Jacob Ball Lindsay C Morton Benjamin M Althouse Julie Pavlin Wilbert van Panhuis Steven Riley Matthew Biggerstaff Cecile Viboud Oliver Brady Caitlin Rivers |
| author_facet |
Simon Pollett Michael A Johansson Nicholas G Reich David Brett-Major Sara Y Del Valle Srinivasan Venkatramanan Rachel Lowe Travis Porco Irina Maljkovic Berry Alina Deshpande Moritz U G Kraemer David L Blazes Wirichada Pan-Ngum Alessandro Vespigiani Suzanne E Mate Sheetal P Silal Sasikiran Kandula Rachel Sippy Talia M Quandelacy Jeffrey J Morgan Jacob Ball Lindsay C Morton Benjamin M Althouse Julie Pavlin Wilbert van Panhuis Steven Riley Matthew Biggerstaff Cecile Viboud Oliver Brady Caitlin Rivers |
| author_sort |
Simon Pollett |
| title |
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_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_sort |
recommended reporting items for epidemic forecasting and prediction research: the epiforge 2020 guidelines. |
| publisher |
Public Library of Science (PLoS) |
| publishDate |
2021 |
| url |
https://doaj.org/article/fc1761a3921747ac8ce19dfe4e62320d |
| work_keys_str_mv |
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| _version_ |
1718375879573241856 |