Neurophysiology

Contains research objectives and reports on three research projects.National Aeronautics and Space Administration (Grant NsG-496)U.S. Air Force (Aeronautical Systems Division) under Contract AF33 (616)-7783The Teagle Foundation, Inc.National Institutes of Health (Grant MH-04737-03)National Institutes of Health (Grant NB-04897-01)National Science Foundation (Grant G-16526)Bell Telephone Laboratories, Inc

Using outbreak science to strengthen the use of models during epidemics.

Infectious disease modeling has played a prominent role in recent outbreaks, yet integrating these analyses into public health decision-making has been challenging. We recommend establishing ‘outbreak science’ as an inter-disciplinary field to improve applied epidemic modeling

The Grizzly, February 4, 1991

Ursinus Celebrates Black History Month • Welcome Back President Richter • Noted Psychologist to Speak at Ursinus Forum • Kirstin Border Crowned • Sophomore Scholarship Competition Announced • Operation Ursinus Cares • Peace Activist Speaks • Veteran Leads Discussion • King Swamp • The Dark Half • Organ Recital • Fact vs. Fiction • Wrestlers Take It To the Mat • Football Players Honored at Banquet • Swimmers Drown E-town • Martin Scores 1,00th Career Point • Hoopsters Fall to Hopkins • Donald R. Groff Named New Softball Coach • Peace Movement Needs Agenda • Why we are at War: The Opinion of One Informed Layperson • Garbage: A Terrible Thing to Waste • Chemistry of the Gulf Warhttps://digitalcommons.ursinus.edu/grizzlynews/1269/thumbnail.jp

Reproducibility of Serologic Assays for Influenza Virus A (H5N1)

Results for clade 1 viruses were more consistent among laboratories when a standard antibody was used

Neurophysiology

Contains research objectives and reports on one research project.U. S. Air Force Cambridge Research Laboratories under Contract AF19(628)-4147Bell Telephone Laboratories, Inc.National Institutes of Health (Grant MH-04737-04)National Science Foundation (Grant GP-2495)National Institutes of Health (Grant NB-04987-02)The Teagle Foundation, Inc.National Aeronautics and Space Administration (Grant NsG-496)U. S. Air Force (Aeronautical Systems Division) under Contract AF 33(615)-1747National Institutes of Health (Grant NB-04985-01

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 researchers, and to provide a framework for end-users to interpret the validity of study results. The purpose of this study was to determine whether guidelines exist specifically for epidemic forecast and prediction publications. METHODS: We undertook a formal systematic review to identify and evaluate any published infectious disease epidemic forecasting and prediction reporting guidelines. This review leveraged a team of 18 investigators from US Government and academic sectors. RESULTS: A literature database search through May 26, 2019, identified 1467 publications (MEDLINE n = 584, EMBASE n = 883), and a grey-literature review identified a further 407 publications, yielding a total 1777 unique publications. A paired-reviewer system screened in 25 potentially eligible publications, of which two were ultimately deemed eligible. A qualitative review of these two published reporting guidelines indicated that neither were specific for epidemic forecasting and prediction, although they described reporting items which may be relevant to epidemic forecasting and prediction studies. CONCLUSIONS: This systematic review confirms that no specific guidelines have been published to standardize the reporting of epidemic forecasting and prediction studies. These findings underscore the need to develop such reporting guidelines in order to improve the transparency, quality and implementation of epidemic forecasting and prediction research in operational public health

Neurophysiology

Contains research objectives and reports on nine research projects.The Teagle Foundation, Inc.U.S. Air Force (Aeronautical Systems Division) under Contract AF33(616)-7783Bell Telephone Laboratories, Inc.National Institutes of Health [Grant M-4235-(C1)]National Institutes of Health (Grant B-1865-(C3))National Institutes of Health (Grant MP-4737)National Institutes of Health (Grant B-2480(C1)

Identification and evaluation of epidemic prediction and forecasting reporting guidelines : a systematic review and a call for action

NGR reports funding by NIGMS grant R35GM119582. BMA is supported by Bill and Melinda Gates Foundation through the Global Good Fund. SP and IMB were funded by the Armed Forces Health Surveillance Branch (GEIS: P0116_19_WR_03.11).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 researchers, and to provide a framework for end-users to interpret the validity of study results. The purpose of this study was to determine whether guidelines exist specifically for epidemic forecast and prediction publications. Methods: We undertook a formal systematic review to identify and evaluate any published infectious disease epidemic forecasting and prediction reporting guidelines. This review leveraged a team of 18 investigators from US Government and academic sectors. Results: A literature database search through May 26, 2019, identified 1467 publications (MEDLINE n = 584, EMBASE n = 883), and a grey-literature review identified a further 407 publications, yielding a total 1777 unique publications. A paired-reviewer system screened in 25 potentially eligible publications, of which two were ultimately deemed eligible. A qualitative review of these two published reporting guidelines indicated that neither were specific for epidemic forecasting and prediction, although they described reporting items which may be relevant to epidemic forecasting and prediction studies. Conclusions: This systematic review confirms that no specific guidelines have been published to standardize the reporting of epidemic forecasting and prediction studies. These findings underscore the need to develop such reporting guidelines in order to improve the transparency, quality and implementation of epidemic forecasting and prediction research in operational public health.Publisher PDFPeer reviewe

The Grizzly, January 28, 1991

Policies and Statistics, A Security Concern: New Quad Regulations; Crime Report Released • Sonia Sanchez: Poet for Peace • Gulf Dialogue Continues • Independence Dogs • Financial Aid Month • You Asked for it: You Got It!! • New Quad Policy • Presidency Symposium • When is Dr. Martin Luther King, Jr.\u27s Birthday? • Who\u27s Who Announced • Mission Conference Held • Back to the Basics • The Innocent • Swimmers on Win Streak • Women Hope for Good Things to Come • A Roller Coaster Season for the Hoopsters • Women Rounding-out Season • The Dream Lives On • Letter: Bundle Up! • Researchers Psyched Out • The Technology of War • A Wasted Solution?https://digitalcommons.ursinus.edu/grizzlynews/1268/thumbnail.jp