Influenza – Epidemiology – Middle East & Africa
Clarivate Epidemiology’s coverage of influenza comprises epidemiological estimates of key patient populations in 45 countries worldwide. We report diagnosed influenza event rates for each country, as well as annualized events projected to the national population.
All patient populations are forecast over a period of 10 years.
Clarivate Epidemiology’s influenza forecast will answer the following question:
- 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 Clarivate Insights Platform in tabular format, with options to download to 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.
Clarivate Epidemiology provides 10 years of forecast data for the following influenza patient population:
- Diagnosed influenza event rates.
Note: Coverage may vary by country.
Table of contents
- Influenza - Epidemiology - Middle East & Africa
- Epidemiology data
- Methods
- Literature review (studies included in/excluded from the analyses of influenza)
- Diagnosed influenza event rate
- Risk / protective factors applied to disease forecast models
- Reference materials
- Glossary
- Abbreviation table
Utsav Patel, M.P.H., is an associate epidemiologist at Clarivate. His areas of interest are cardiovascular diseases and cancer epidemiology. Previously, he worked as a graduate research assistant at City University of New York, where he conducted multi-omics investigations into cancer study funded by the National Institutes of Health. He obtained his M.P.H. in epidemiology and biostatistics from City University of New York.
Sunali D. Goonesekera, S.M., Senior Manager, Epidemiology. Prior to joining Clarivate, Ms. Goonesekera conducted epidemiological research on racial/ethnic disparities in metabolic diseases at the New England Research Institute and lead-authored two manuscripts. She has contributed to multiple publications in peer-reviewed journals in epidemiology and the biological sciences. She holds a master’s degree in epidemiology from the Harvard School of Public Health and a B.A. in biology (Honors) from Dartmouth College.