Epi-Info Essentials: Learn Simple, Powerful Tools for Smarter Data Work
Felix Emeka Anyiam
This hands-on workshop introduces you to Epi-Info, a simple yet powerful statistical and epidemiological tool used globally for field investigations, outbreak response, and rapid public health decision-making.
Epi-Info remains one of the most widely used platforms in outbreak investigations, field epidemiology, surveillance, and rapid assessments, especially in low-resource settings, humanitarian missions, and UN field deployments.
Major global health agencies such as WHO, CDC, UNICEF, UNHCR, Africa CDC, and MSF consistently rely on Epi-Info for:
- Rapid data entry and management during outbreaks and emergencies
- Sample size calculations for field studies and research
- Quick descriptive and inferential statistics
- Fast epidemiological analysis when decisions need to be made immediately
While many professionals train in SPSS, Stata, SAS, or R, Epi-Info continues to be highly valued in field operations because it is:
- Free and open-source
- Fully functional offline, ideal for remote or unstable settings
- Reliable in humanitarian and emergency environments
- Designed specifically for epidemiology, surveillance, and quick decision-making
Why Attend This Workshop?
By joining this two-day practical training, you will:
i. Learn how to capture, clean, and organize your data in a spreadsheet and import it into Epi-Info for efficient preparation before analysis.
ii. Understand how to run key descriptive statistical analyses, including: Frequencies and percentages, Measures of central tendency (mean, median, mode), Measures of dispersion (standard deviation, range, IQR).
iii. Master essential inferential statistical techniques, such as: Chi-square tests and Fisher’s exact test, Independent and paired t-tests, One-way ANOVA, Non-parametric tests (Mann-Whitney U, Kruskal–Wallis), and Measures of association that include both risk ratios (RR) and odds ratios (OR).
iv. Calculate Epidemiological Sample sizes
Whether you're a student, researcher, public health professional, humanitarian worker, or aspiring UN staff member, this workshop equips you with field-ready, globally recognized data skills using a tool trusted by teams on the frontlines of public health.
Register here: https://bit.ly/4hYsaYJ
About the Facilitator
Felix Emeka Anyiam is a Rising Scholars Steward, previously a CODATA Connect Initial Lead (2019-2024) and Data Scientist with over 20 years of practical experience using Epi-Info for data analysis, outbreak investigations, field epidemiology, and public health decision-making. He holds dual master’s degrees in Public Health, specializing in Epidemiology and Biostatistics. He has trained hundreds of students and professionals in data-driven approaches across global health and development programs.
His introduction to Epi-Info began under the mentorship of Prof. Seye Babatunde (https://www.linkedin.com/in/seye-babatunde-973a9012/), a respected Nigerian public health expert and long-time WHO technical leader on Malaria, NTDs and Vector-borne Diseases. Prof. Babatunde’s guidance shaped Felix’s formative years in epidemiological analysis and nurtured his professional growth for many years.
Felix’s inferential statistical skills were further sharpened during his postgraduate studies under Prof. Marija J. Norušis (https://www.linkedin.com/in/marija-norusis-b282995/), the internationally recognized statistician and author of the well-known SPSS Statistical Procedures Companion and SPSS Guide to Data Analysis (https://www.norusis.com/book_SPC_v19.php). Her influence helped him develop a clear, intuitive way of teaching statistics, emphasizing understanding, simplicity, and real-world application.
Today, Felix combines his experience as a mentor, educator, researcher, and field data specialist to deliver trainings that make complex epidemiological and statistical concepts both accessible and practical. His workshops are known for blending technical accuracy with simplicity, empowering beginners and experienced professionals alike.
|
