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Full-Text Articles in Public Health
Recommended Reporting Items For Epidemic Forecasting And Prediction Research: The Epiforge 2020 Guidelines, 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, 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
Journal Articles: Epidemiology
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 …
Infection-Associated Biofilms And Statins: Protocol For Systematic Review, Dora Yesenia Valencia, Magdiel Habila, D. Jean Mcclelland, Abraham Degarege, Purnima Madhivanan, Karl Krupp
Infection-Associated Biofilms And Statins: Protocol For Systematic Review, Dora Yesenia Valencia, Magdiel Habila, D. Jean Mcclelland, Abraham Degarege, Purnima Madhivanan, Karl Krupp
Journal Articles: Epidemiology
INTRODUCTION: Owing to their propensity for being associated with infections, biofilms have become a focus in infectious disease research. There is evidence suggesting that statins, which are commonly used for prevention of cardiovascular disease, may prevent biofilm-associated infections, but this association has not been well-understood.
METHODS AND ANALYSIS: This systematic review protocol will include six database searches from their inception to 20 August 2020. A medical librarian will conduct the searches in PubMed, EMBASE, Web of Science, CINAHL, LILACS and CENTRAL, without any limits. Bibliographies of selected articles, previously published reviews and high-yield journals that publish on statins and/or biofilms …