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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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Updated: Sep 27, 2025

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COVID-19 data driven planning: The SouthEast Texas approach.

Adam Lee1, Lori Upton2, Magdalena Anna Denham3

  • 1Regional Training and Exercise Coordinator, SouthEast Texas Regional Advisory Council, Houston, Texas.

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Summary

This study details how the South East Texas Regional Advisory Councils (SETRAC) used public health intelligence to manage COVID-19 data. Effective data sharing supported situational awareness and resource allocation during the pandemic.

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Area of Science:

  • Public Health
  • Health Informatics
  • Emergency Management

Background:

  • The COVID-19 pandemic necessitated rapid data collection and analysis for effective public health response.
  • The South East Texas Regional Advisory Councils (SETRAC) faced challenges in managing and disseminating critical health data.

Purpose of the Study:

  • To explore and share SETRAC's experience using Open-Source Public Health Intelligence for COVID-19 data.
  • To detail the creation of Business Intelligence reports for various stakeholders, including policymakers and healthcare leaders.

Main Methods:

  • A coautoethnographic case study approach was employed.
  • The Open-Source Public Health Intelligence process was utilized for data management.
  • Business Intelligence reports were developed using PowerBI.

Main Results:

  • Successful production of Business Intelligence reports for diverse audiences, from the general public to federal task forces.
  • Facilitation of situational awareness, inter-regional collaboration, and resource allocation.
  • Identification of best practices in risk communication and data standardization.

Conclusions:

  • Cross-sector collaboration and standardized data collection are crucial for effective health planning and response.
  • The study highlights implications for health care systems and homeland security information sharing.
  • Effective data dissemination supports informed policy decisions during public health crises.