Android and ODK based data collection framework to aid in epidemiological analysis.

Area of Science:

• Public Health
• Epidemiology
• Health Informatics

Background:

• Effective disease surveillance and data analysis are crucial for healthcare services, enabling preventive measures and intervention evaluation.
• Disparities in resources between developed and developing countries hinder robust disease surveillance, impacting healthcare quality.
• The critical nature of certain diseases necessitates addressing these surveillance gaps, especially in resource-limited settings.

Purpose of the Study:

• To present a prototype framework for seasonal influenza data collection.
• To address data collection challenges in developing countries using mobile technology.
• To leverage existing tools and platforms for improved public health surveillance.

Main Methods:

• Utilizing the Android open-source platform for mobile application development.
• Implementing the Open Data Kit (ODK) for efficient field data collection.
• Developing a prototype framework integrating these technologies for influenza surveillance.

Main Results:

• Demonstrated feasibility of a mobile-based data collection system for seasonal influenza.
• Highlighted the potential of Android and ODK in resource-constrained environments.
• Provided a framework adaptable for various public health data collection needs.

Conclusions:

• Mobile technology, specifically Android and ODK, offers a viable solution for enhancing disease surveillance in developing nations.
• The developed framework can improve the timeliness and accuracy of data for public health decision-making.
• This approach supports proactive healthcare by enabling better monitoring of seasonal influenza and potentially other infectious diseases.