Identification and evaluation of epidemic prediction and forecasting reporting guidelines: A systematic review and a call for action
Introduction: High quality epidemic forecasting and prediction are critical to support response to local, regional and global infectious disease threats. Other fields of biomedical research use consensus reporting guidelines to ensure standardization and quality of research practice among researcher...
Main Authors: | Simon Pollett, Michael Johansson, Matthew Biggerstaff, Lindsay C. Morton, Sara L. Bazaco, David M. Brett Major, Anna M. Stewart-Ibarra, Julie A. Pavlin, Suzanne Mate, Rachel Sippy, Laurie J. Hartman, Nicholas G. Reich, Irina Maljkovic Berry, Jean-Paul Chretien, Benjamin M. Althouse, Diane Myer, Cecile Viboud, Caitlin Rivers |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2020-12-01
|
Series: | Epidemics |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S175543652030027X |
Similar Items
-
The opportunities and challenges of an Ebola modeling research coordination group.
by: Caitlin Rivers, et al.
Published: (2020-07-01) -
Recommended reporting items for epidemic forecasting and prediction research: the EPIFORGE 2020 guidelines
by: Pollett, S, et al.
Published: (2021) -
Correction: Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines.
by: Simon Pollett, et al.
Published: (2023-11-01) -
Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines.
by: Simon Pollett, et al.
Published: (2021-10-01) -
A systematic review and evaluation of Zika virus forecasting and prediction research during a public health emergency of international concern.
by: Pei-Ying Kobres, et al.
Published: (2019-10-01)