The library doesn't have dedicated epidemiology/community medicine textbooks with Epi Info content. I have solid information from web sources and my own knowledge to give you a thorough, well-organized answer.
Use of Computers in Data Collection, Data Analysis, and Epi Info
1. Use of Computers in Data Collection
Computers have transformed how health data is gathered - from paper-based methods to fully electronic systems.
A. Electronic Data Entry
- Computer-Assisted Personal Interview (CAPI): Interviewers enter responses directly into a laptop/tablet during face-to-face interviews, reducing transcription errors.
- Computer-Assisted Self-Interview (CASI): Respondents enter their own answers - useful for sensitive topics (e.g., sexual behavior, substance use).
- Computer-Assisted Telephone Interview (CATI): Used in large telephone surveys; software routes questions based on previous answers (skip logic).
B. Electronic Data Collection Tools
| Tool | Use |
|---|
| Google Forms / KoboToolbox | Field surveys, especially in low-resource settings |
| REDCap | Clinical research data capture |
| ODK (Open Data Kit) | Mobile data collection in field epidemiology |
| Electronic Health Records (EHR) | Routine hospital/clinic data |
| DHIS2 | National health information systems |
C. Advantages of Computer-Based Data Collection
- Eliminates transcription errors (data entered once)
- Skip patterns / validation rules enforced in real-time
- Immediate data availability for analysis
- GPS tagging for spatial data
- Reduced paper costs and storage needs
- Facilitates remote/cloud-based data submission
D. Surveillance and Routine Data
- Disease surveillance systems (e.g., IDSP in India, CDC's NNDSS in the US) use computer networks to aggregate case reports from peripheral health facilities.
- Vital registration systems (births, deaths) are increasingly computerized.
2. Use of Computers in Data Analysis
A. Types of Analysis Supported
| Type | Description |
|---|
| Descriptive statistics | Frequencies, means, medians, proportions, rates |
| Inferential statistics | t-tests, chi-square, ANOVA, regression |
| Epidemiological measures | Attack rates, odds ratios, risk ratios, incidence/prevalence |
| Survival analysis | Kaplan-Meier curves, Cox regression |
| Spatial analysis | Mapping disease burden (GIS software) |
| Multivariate analysis | Logistic regression, multiple linear regression |
B. Common Software Packages
| Software | Primary Use | Notes |
|---|
| Epi Info | Field epidemiology, outbreak investigation | Free, CDC-developed |
| SPSS | Social/health sciences statistics | Point-and-click interface |
| STATA | Epidemiology, clinical trials | Widely used in academia |
| SAS | Large dataset analysis | Standard in pharma/regulatory |
| R | Statistical computing | Open-source, highly extensible |
| Excel | Basic descriptive analysis | Universal availability |
| OpenEpi | Web-based epidemiologic calculators | Free, browser-based |
C. Data Management Tasks Computers Handle
- Data cleaning (identifying outliers, missing values, duplicates)
- Data coding and recoding
- Database merging and linking
- Report generation and visualization (tables, graphs, charts)
3. Epi Info - In Detail
What is Epi Info?
Epi Info is a free, public-domain statistical and epidemiological software suite developed by the Centers for Disease Control and Prevention (CDC), Atlanta, USA, in collaboration with the World Health Organization (WHO). It was first released in 1985 and was used in over 181 countries by more than 1 million users in 13 languages.
Important update: The CDC officially
discontinued product development and technical support for Epi Info in
September 2025. The desktop version still runs on Windows 11 for existing users, but no new updates will be issued. (
CDC Epi Info page)
Key Modules of Epi Info 7
1. Form Designer (MakeView)
- Used to create electronic questionnaires/data entry forms
- Supports text fields, checkboxes, drop-down lists, coded fields
- Can enforce skip logic, range checks, and required fields
- Supports multi-page and relational questionnaire designs
2. Enter (Data Entry Module)
- Allows data entry into forms created in Form Designer
- Built-in validation prevents out-of-range entries
- Data stored in a project database (.mdb or .prj format)
3. Classic Analysis / Visual Dashboard
- Core statistical analysis module
- Produces frequency tables, cross-tabulations, means, proportions
- Generates 2x2 tables with:
- Odds Ratios (OR) with 95% CI
- Risk Ratios (RR)
- Risk Differences
- Chi-square, Fisher's Exact tests
- Logistic regression (conditional and unconditional)
- Survival analysis (Kaplan-Meier, Cox proportional hazard)
- Complex survey data analysis
- Can read and write to Excel, CSV, dBase formats
4. StatCalc
- Stand-alone calculator for:
- Sample size calculations (cohort, case-control, cross-sectional)
- Chi-square test from 2x2 tables
- Population-based surveys (margin of error)
- Person-time incidence rates
5. Epi Map
- Links data to maps using shapefiles
- Creates choropleth maps to display geographic distribution of disease
- Useful for spatial epidemiology
6. Epi Report
- Generates formatted reports combining tables, graphs, and maps
- Can publish output as HTML or Word documents
Uses of Epi Info in Epidemiology
- Outbreak investigation - Rapid creation of line-listing forms; attack rate calculations; epidemic curves
- Cross-sectional surveys - Community health surveys with weighted analysis
- Case-control and cohort studies - OR, RR, attributable risk computation
- Disease surveillance systems - Small to mid-sized surveillance system development
- Field epidemiology training - Standard tool in FETP (Field Epidemiology Training Programs) worldwide
- Meta-analysis - Some versions supported pooled analysis
- Clinical research - Data entry and analysis for small clinical studies
Advantages of Epi Info
- Free of cost (public domain - no license fee)
- Easy to learn - suitable for non-statisticians
- Integrates data entry + analysis in one package
- Available in 13 languages
- WHO and CDC endorsed
- Runs on Windows, with web/cloud and Android versions developed
- Produces publication-ready tables and graphs
Limitations of Epi Info
- Not suitable for very large datasets (limited scalability)
- Discontinued as of September 2025 (no future updates)
- Less flexible than R or STATA for complex analyses
- Limited support for advanced statistical modeling
- Replaced in many settings by R, REDCap, and Kobo Toolbox
Workflow in Epi Info (Step-by-Step)
1. Design form (Form Designer)
↓
2. Enter/import data (Enter module or import from Excel)
↓
3. Clean data (check frequencies, identify outliers)
↓
4. Analyze data (Analysis module - FREQ, TABLES, MEANS, REGRESS)
↓
5. Create maps (Epi Map)
↓
6. Generate reports (Epi Report / export to Word/HTML)
Key Commands in Epi Info Analysis Module
| Command | Function |
|---|
FREQ | Frequency distribution of a variable |
TABLES | Cross-tabulation; 2x2 tables, OR, RR |
MEANS | Mean, SD, median, min/max by group |
MATCH | Matched case-control analysis |
LOGISTIC | Logistic regression |
SURVIVAL | Kaplan-Meier survival analysis |
SELECT | Filter records by criteria |
RECODE | Recode variable values |
DEFINE | Create new variables |
Summary Table
| Function | Role of Computer |
|---|
| Questionnaire design | Form Designer (Epi Info), KoboToolbox, REDCap |
| Data entry | Electronic forms, CAPI, CATI, CASI |
| Data validation | Automatic range/skip checks during entry |
| Data management | Cleaning, coding, merging databases |
| Descriptive analysis | Frequency tables, summary statistics |
| Analytical epidemiology | OR, RR, regression, stratified analysis |
| Sample size | StatCalc in Epi Info, OpenEpi |
| Spatial analysis | Epi Map, ArcGIS, QGIS |
| Report generation | Automated tables, graphs, maps |
Computers are now indispensable tools across the entire research cycle - from question design to final publication. While Epi Info specifically served as the workhorse for field epidemiology for four decades, its discontinuation in 2025 means researchers are transitioning to alternatives like R + REDCap + QGIS for similar functionality with better long-term support.