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Mobile applications can aid COVID-19 monitoring, but data fragmentation is a risk. This study integrates international guidelines to ensure reliable, interoperable data collection for public health.

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Area of Science:

  • Public Health
  • Digital Health
  • Epidemiology

Background:

  • Mobile applications are proposed for COVID-19 monitoring and tracking.
  • Data fragmentation poses risks: insufficient coverage, bias, and inability to track cross-border movement.

Purpose of the Study:

  • To integrate international requirements for COVID-19 monitoring applications.
  • To mitigate data fragmentation issues and ensure reliable data collection for researchers and public health institutions.

Main Methods:

  • Literature and guidelines review to identify relevant COVID-19 monitoring data.
  • Analysis of European Union and World Health Organization guidelines for monitoring applications.
  • Proposal for integrating current guidelines to address data fragmentation.

Main Results:

  • Identified key data for effective COVID-19 monitoring.
  • Assessed existing guidelines' limitations in addressing data fragmentation.
  • Developed an integrated framework for enhanced data collection.

Conclusions:

  • Standardized requirements are crucial for effective mobile health monitoring.
  • An integrated approach can overcome data fragmentation challenges.
  • The proposed framework supports reliable and significant data for public health initiatives.