Promising
Practices that show evidence of effectiveness in improving public health outcomes in a specific real-life setting, as indicated by achievement of aims consistent with the objectives of the activities, and are suitable for adaptation by other communities.

Influence of Social Determinants of Health and County Vaccination Rates on Machine Learning Models to Predict COVID-19 Case Growth in Tennessee

Wylezinski, L. S., Harris, C. R., Heiser, C. N., Gray, J. D., Spurlock, C. F.

Release Date:

Peer Review Study

Data Collection and Analysis
Healthcare Access and Quality
Neighborhood and Built Environment
Tools Included
Outside U.S.
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Data Collection and Reporting

This article analyzes county-level data for vaccination rates and social determinants of health factors for Tennessee between February and May 2021. The machine learning model was able to predict COVID-19 incidence, as well as detect rates of disparities for social determinants such as transportation and access to health care.

Resource Details

Outcomes of Interest

Improve Data Infrastructure

Priority Population(s)

Setting(s) of Implementation

Community

Geographic Area of Implementation

Implementation Period

2021