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Model-Driven Architecture Based Software Development for Epidemiological Surveillance Systems.

Azanzi Jiomekong1,2, Gaoussou Camara2,3

  • 1University of Yaounde I, Cameroon.

Studies in Health Technology and Informatics
|August 24, 2019
PubMed
Summary
This summary is machine-generated.

Software solutions for epidemiological surveillance systems can be costly and slow to update. A Model-Driven Architecture (MDA) approach offers a flexible methodology and tool for developing adaptable systems, demonstrated for tuberculosis surveillance in Cameroon.

Keywords:
Epidemiological MonitoringSoftware DesignTuberculosis

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Area of Science:

  • Public Health
  • Software Engineering
  • Epidemiology

Background:

  • Manual epidemiological surveillance systems exhibit poor performance.
  • Current software solutions for epidemiological surveillance are often inflexible and expensive to update.
  • Rapid evolution of medical knowledge necessitates adaptable surveillance systems.

Purpose of the Study:

  • To present a Model-Driven Architecture (MDA) based methodology and tool for developing epidemiological surveillance systems.
  • To address the limitations of existing software solutions in adapting to evolving surveillance needs.
  • To demonstrate the practical application of the MDA approach in a real-world scenario.

Main Methods:

  • Utilized the Model-Driven Architecture (MDA) approach for system modeling and code generation.
  • Developed a specific methodology and toolset based on MDA principles.
  • Applied the developed tool to model and generate software for tuberculosis surveillance.

Main Results:

  • A complete MDA-based methodology and tool were successfully developed.
  • The generated software is currently in use for tuberculosis surveillance in Cameroon.
  • The MDA approach facilitated the creation of adaptable epidemiological surveillance systems.

Conclusions:

  • The MDA approach provides an effective and flexible solution for developing epidemiological surveillance systems.
  • This methodology enables faster and more cost-effective updates to surveillance software.
  • The successful implementation in Cameroon highlights the potential of MDA for public health surveillance globally.