Epi info is a useful public-domain program for public health. It was developed by the CDC (Centers for Diseases Control) to build databases for epidemiology with basic statistics, maps and graphics. Many users have developed applications in Epi Info to meet their needs, even when they need to collect information about animal or human health; depending on their experiences and expected results.
The program creates epidemiological maps. It will show the information from the virtual health records graphically, created based on the fields that you prefer. The software uses the formats CHK, REC, QES for storing the data. Nowadays the software is required in multiple College Degrees for the management of epidemiology databases of different diseases, infection factors, vaccination and others. Using this information they use apply it for they practices and studies.
The first version was developed in 1982 for MSDOS; and now the program is supported by almost all of the Microsoft Operating Systems. The software has been translated in many languages. However, if you are using Windows XP, you have to make sure you have SP3. If you don't, you will need to download it from Microsoft.
v7.0 [Nov 5, 2011]
Epi Info™ 7 provides new capabilities that are designed to make it easier for epidemiologists to rapidly create complex forms, collect large amounts of data, and quickly analyze data to gain situational awareness. Specifically, users will now be able to:
Distribute, deploy, and use Epi Info™ 7 during emergencies without ever requiring elevated privileges on a machine.
Quickly create event-specific forms by dragging and dropping templates.
Create complex questionnaire templates in advance that can be distributed and rapidly customized during emergencies.
Use new "Check Code" logic on forms such as Geocode, ZScore, EpiWeek, Enable, Disable, and Highlight.
Create forms that have more than 255 fields.
Store data either on a SQL Server when a network infrastructure is available or on local MS Access-compatible files when disasters disrupt network connectivity.
Collect data concurrently in a multi-user environment.
Link records together to create exposure relationships.
Visualize data on case-based cluster maps, social network analysis graphs, and a powerful new Visual Dashboard.
Create surveillance systems that leverage Early Aberration Reporting System (EARS) algorithms.
Perform nutritional anthropometry using up to date CDC and WHO standards.
Receive updates when new features, templates, and fixes become available.
Feature-rich relational database known for its high performance and excellent concurrency
