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Area of Science:

  • Public Health
  • Health Equity
  • Data Science in Public Health

Background:

  • Modern public health systems need an equity-oriented workforce capable of utilizing diverse data sources.
  • Current public health workforce capabilities and infrastructure do not align with the demands of harnessing and translating complex data into equity-contextualized information.
  • This article is part of a supplement informed by a literature review, environmental scan, and deliberations from the National Commission to Transform Public Health Data Systems.

Purpose of the Study:

  • To summarize challenges in current public health workforce capabilities and pipelines.
  • To identify contributions from the technology and data sectors to support innovative workforce models.
  • To augment the development of public health workforce competencies for data integration and knowledge generation.

Main Methods:

  • Literature review.
  • Environmental scan.
  • Deliberations from the National Commission to Transform Public Health Data Systems.

Main Results:

  • Identified a misalignment between current public health workforce capabilities and the need for advanced data handling skills.
  • Highlighted the potential for technology and data sectors to provide crucial expertise and assets.
  • Recognized the necessity of developing new workforce models and competencies for equity-focused public health data systems.

Conclusions:

  • A transformation of the public health workforce is essential for achieving equity-oriented systems.
  • Collaboration with technology and data sectors is key to bridging current skill gaps.
  • Developing specialized competencies in data integration and equity contextualization is critical for future public health practice.