Training on Practical Epidemiology Research Using EpiData and Epi Info

This course equips public health professionals and researchers with practical skills to conduct epidemiological research using EpiData and Epi Info software. Participants will learn to design study tools, manage and clean data, perform statistical analysis, and generate meaningful health reports. The program emphasizes hands-on exercises and real-world case studies, enabling participants to efficiently collect, process, and interpret epidemiological data to support evidence-based decision-making in public health programs and research.

Duration

5 Days

Who Should Attend

• Epidemiologists, public health officers, and health researchers

• Data managers and statisticians in health sectors

• Monitoring & evaluation personnel

• Academic researchers conducting population or clinical studies

• Professionals involved in disease surveillance and outbreak investigations

Personal Impact

• Enhances data management and analytical skills in health research

• Improves ability to conduct accurate and reliable epidemiological studies

• Builds confidence in using specialized software for data-driven decisions

• Strengthens reporting and presentation of research findings

Organizational Impact

• Supports high-quality data collection and reporting for health programs

• Enhances monitoring, evaluation, and disease surveillance capabilities

• Reduces errors and improves integrity in health research data

• Enables evidence-based decision-making for public health planning

By the end of this course, participants will:

• Design data collection tools and entry forms using EpiData

• Enter, clean, and manage epidemiological data efficiently

• Analyze health data using Epi Info statistical tools

• Generate graphs, tables, and reports for research and program management

• Apply results to inform public health decision-making and interventions

Module 1: Introduction to Epidemiology and Software Tools

• Fundamentals of epidemiology and public health research

• Overview of EpiData and Epi Info capabilities

• Installing software and understanding interfaces

• Case Study: Use of software in disease outbreak monitoring

Module 2: Data Collection and Entry using EpiData

• Designing questionnaires and data entry forms

• Coding and validation of data

• Managing databases and performing basic data checks

• Practical Exercise: Creating and testing an EpiData entry form

Module 3: Data Management and Cleaning

• Importing, exporting, and merging datasets

• Detecting and correcting inconsistencies and missing data

• Preparing datasets for statistical analysis

• Case Study: Cleaning a multi-center epidemiological dataset

Module 4: Data Analysis with Epi Info

• Descriptive statistics (frequencies, means, proportions)

• Inferential statistics (chi-square, t-tests, ANOVA basics)

• Generating graphs, tables, and visual summaries

• Practical Exercise: Analyzing a health survey dataset

Module 5: Reporting, Interpretation, and Application

• Producing clear and concise research reports

• Interpreting results for program management and policy

• Using software outputs for presentations and decision-making

• Case Study: Epidemiological report preparation for a public health intervention