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Assessing Public Health Capacity for Infectious Disease Modeling: A Qualitative Study of State and Local Agencies
Skyler J Crouch1, Katie S Allen2, Delaney Thornton3
1Division of Public Health, Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT 84108, USA.
Summary
Public health departments need adaptable infectious disease modeling tools tailored to their specific needs. Building trust and improving data quality are key to successful implementation and adoption of these crucial outbreak management resources.
Area of Science:
- Epidemiology
- Public Health Informatics
- Health Services Research
Background:
- Infectious disease modeling and forecasting are vital for managing outbreaks.
- State and local health departments have varying capacities to use these tools due to infrastructure, funding, staff, and data access limitations.
Purpose of the Study:
- To identify the priorities, needs, and capacities of public health departments regarding infectious disease modeling and forecasting tools.
- To understand the barriers and facilitators to the adoption and effective use of these tools.
Main Methods:
- Qualitative study utilizing key informant interviews with public health professionals (epidemiologists, informaticists, leadership).
- Interviews conducted across state and local health departments in Montana, Utah, and Washington.
- Thematic analysis using thematic coding and axial coding to identify key themes.
Main Results:
- Models and tools require adaptability for different jurisdiction types (rural, urban, state).
- Establishing trust in modeling and forecasting tools is a critical prerequisite for their adoption.
- Significant concerns exist regarding the availability and quality of data necessary for effective modeling.
Conclusions:
- There is a clear need for infectious disease modeling tools that are flexible and customized to specific public health jurisdictions.
- Enhancing trust in these tools and addressing data quality issues are essential for widespread and successful implementation in diverse public health settings.
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