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An Urban Population Health Observatory System to Support COVID-19 Pandemic Preparedness, Response, and Management: Design and Development Study.
Brakefield, Whitney S; Ammar, Nariman; Olusanya, Olufunto A; Shaban-Nejad, Arash.
  • Brakefield WS; Bredesen Center for Data Science and Engineering, University of Tennessee, Knoxville, TN, United States.
  • Ammar N; Center for Biomedical Informatics, Department of Pediatrics, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States.
  • Olusanya OA; Center for Biomedical Informatics, Department of Pediatrics, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States.
  • Shaban-Nejad A; Center for Biomedical Informatics, Department of Pediatrics, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States.
JMIR Public Health Surveill ; 7(6): e28269, 2021 06 16.
Article in English | MEDLINE | ID: covidwho-2197912
ABSTRACT

BACKGROUND:

COVID-19 is impacting people worldwide and is currently a leading cause of death in many countries. Underlying factors, including Social Determinants of Health (SDoH), could contribute to these statistics. Our prior work has explored associations between SDoH and several adverse health outcomes (eg, asthma and obesity). Our findings reinforce the emerging consensus that SDoH factors should be considered when implementing intelligent public health surveillance solutions to inform public health policies and interventions.

OBJECTIVE:

This study sought to redefine the Healthy People 2030's SDoH taxonomy to accommodate the COVID-19 pandemic. Furthermore, we aim to provide a blueprint and implement a prototype for the Urban Population Health Observatory (UPHO), a web-based platform that integrates classified group-level SDoH indicators to individual- and aggregate-level population health data.

METHODS:

The process of building the UPHO involves collecting and integrating data from several sources, classifying the collected data into drivers and outcomes, incorporating data science techniques for calculating measurable indicators from the raw variables, and studying the extent to which interventions are identified or developed to mitigate drivers that lead to the undesired outcomes.

RESULTS:

We generated and classified the indicators of social determinants of health, which are linked to COVID-19. To display the functionalities of the UPHO platform, we presented a prototype design to demonstrate its features. We provided a use case scenario for 4 different users.

CONCLUSIONS:

UPHO serves as an apparatus for implementing effective interventions and can be adopted as a global platform for chronic and infectious diseases. The UPHO surveillance platform provides a novel approach and novel insights into immediate and long-term health policy responses to the COVID-19 pandemic and other future public health crises. The UPHO assists public health organizations and policymakers in their efforts in reducing health disparities, achieving health equity, and improving urban population health.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Healthy People Programs / Public Health Surveillance / Population Health / COVID-19 / Health Policy Type of study: Prognostic study Limits: Humans Language: English Journal: JMIR Public Health Surveill Year: 2021 Document Type: Article Affiliation country: 28269

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Healthy People Programs / Public Health Surveillance / Population Health / COVID-19 / Health Policy Type of study: Prognostic study Limits: Humans Language: English Journal: JMIR Public Health Surveill Year: 2021 Document Type: Article Affiliation country: 28269