DRG Epidemiology's influenza forecast will answer the following questions:
Of all people with influenza, how many in each country across the major mature pharmaceutical markets have been formally diagnosed?
How will demographic trends, such as population aging and improving life expectancy, affect the epidemiology of influenza over the forecast period?
All forecast data are available on the DRG Insights Platform in tabular format, with options to download to MS Excel. All populations are accompanied by a comprehensive description of the methods and data sources used, with hyperlinks to external sources. A summary evidence table generated as part of our systematic review of the epidemiological literature is also provided for full transparency into research and methods.
DRG Epidemiology provides at least ten years of forecast data for the following influenza patient populations:
Event Rate of Influenza per 1,000 Among People of All Ages in 2018 and 2028
Relative Sizes of the Contributing Factors to the Trend in Events of Influenza over the Next Ten Years
Analysis of Events of Influenza in 2018 by Diagnosis Status
Number of Events of Influenza That Will Be Avoided over the 2018-2028 Period Across the Countries Under Study
Epidemiology Data
Methods
Total Event Rate
Total Prevalent Cases
Percentage Diagnosed
Reference Materials
Literature Review
Studies Included in the Analysis of Influenza
Studies Excluded from the Analysis of Influenza
Risk/Protective Factors
Risk/Protective Factors for Influenza
Bibliography
Glossary
Mike Hughes, M.Sc., Ph.D.
Mike Hughes, M.Sc., Ph.D., is the director of the Epidemiology department at DRG, part of Clarivate. He joined DRG in 2006 and has many years’ experience in the mathematical modeling of healthcare service delivery, cardiovascular and cancer epidemiology, biostatistics, meta-analysis, and systematic reviewing. He has been principal author on many published articles in leading international journals in the areas of risk modeling in intensive care and cardiovascular medicine. He also helped develop national guidelines on behalf of NICE and the American College of Chest Physicians for the treatment of atrial fibrillation, stroke, and hypertension. He is particularly interested in modeling patient flows in cancer and methods for forecasting disease burden in noncommunicable epidemiology. Dr. Hughes received his Ph.D. in risk modeling in intensive care in 2003 from City University, London, and his Ph.D. in statistical causation and foundations of probability theory from the University of Nottingham.
Ansuman Swain
Ansuman Swain, B.D.S., M.P.H.,is an associate epidemiologist at Clarivate. As part of his M.P.H. curriculum, he worked as an intern at the National Health Mission in Odisha, India, where he observed the implementation of the RBSK program. Mr. Swain is a graduate in dentistry from KIIT University in Odisha and holds an M.P.H. degree from Manipal Academy of Higher Education in Karnataka, India, with a specialization in global health from Maastricht University in the Netherlands.
