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Health and Equity Data to Teach the Next Generation of Public Health Leaders.
Ofrane, Rebecca H; Breslin, Samantha; Levine, Shoshanna; Gourevitch, Marc N; Levy, Marian.
  • Ofrane RH; Department of Population Health, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
  • Breslin S; Department of Population Health, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
  • Levine S; Department of Population Health, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
  • Gourevitch MN; Department of Population Health, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
  • Levy M; School of Public Health, University of Memphis, Memphis, TN, USA.
Public Health Rep ; : 333549221143090, 2023 Jan 12.
Article in English | MEDLINE | ID: covidwho-2194745
ABSTRACT
The COVID-19 pandemic restructured university learning environments while also underscoring the need for granular local health data. We describe how the University of Memphis School of Public Health used the City Health Dashboard, an online resource providing data at the city and neighborhood level for more than 35 measures of health outcomes, health drivers, and health equity for all US cities with populations >50 000, to enrich students' learning of applying data to community health policy. By facilitating students' engagement with population needs, assets, and capacities that affect communities' health-key components of the master of public health accreditation process-the Dashboard supports in-person and virtual learning at undergraduate and graduate levels and is recommended as a novel and rigorous data source for public health trainees.
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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Public Health Rep Year: 2023 Document Type: Article Affiliation country: 00333549221143090

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Public Health Rep Year: 2023 Document Type: Article Affiliation country: 00333549221143090