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A new cross-platform architecture for epi-info software suite.

Blake Camp1, Jaya Krishna Mandivarapu2, Nagashayan Ramamurthy2

  • 1Department of Computer Science, Georgia State University, 25 Park Place, Atlanta, GA, USA. bcamp2@gsu.edu.

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|October 23, 2018
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Summary

This study presents a cross-platform architecture for Epi-Info software, enabling Linux, Mac, and Windows use from a single codebase. The new design maintains high performance for public health data collection and analysis.

Keywords:
AnalyticsCross-platformData-collectionElectronForm-designNoSQLPubic-health

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Area of Science:

  • Public Health Informatics
  • Software Engineering
  • Epidemiology

Background:

  • Epi-Info software is crucial for public health data collection and analysis, particularly during outbreaks.
  • Current Epi-Info versions are platform-specific (Windows), limiting accessibility and increasing development complexity.
  • Software portability offers significant benefits, including reduced development time, cost, and simplified architecture.

Purpose of the Study:

  • To develop and present a viable cross-platform architecture for the Epi-Info software suite.
  • To address the need for understanding and mitigating performance issues in platform-agnostic public health software.
  • To enhance the accessibility and usability of Epi-Info across different operating systems.

Main Methods:

  • Developed a cross-platform architecture using Electron to wrap an AngularJS application.
  • Integrated a Python module for data analytics and a local, browser-based NoSQL database.
  • Generated executable applications for Linux, macOS, and Windows from a unified codebase.

Main Results:

  • Successfully created cross-platform executables for Linux, macOS, and Windows from a single codebase.
  • Demonstrated that cross-platform development does not necessitate a complete sacrifice of application performance.
  • Validated the feasibility of the proposed architecture for public health data management.

Conclusions:

  • The developed architecture enables cross-platform form design and data collection capabilities.
  • Features include offline/online modes, scalable storage, automatic data synchronization, and rapid analytics.
  • Results indicate that this approach rivals the performance of traditional, platform-specific solutions, warranting further research.