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Using State Licensure Data to Assess North Carolina's Health Workforce COVID-19 Response Capacity.
Wilson, Heather; Galloway, Evan M; Spero, Julie C; Thomas, Shikira; Long, Julianna C; Ricketts, Thomas C; Fraher, Erin P.
Afiliación
  • Wilson H; communications specialist and research assistant, Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina. heather_wilson@unc.edu.
  • Galloway EM; research associate and data analyst, Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
  • Spero JC; director, Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
  • Thomas S; research associate, Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
  • Long JC; research assistant, Cecil G. Sheps Center for Health Services Research; BSPH candidate, Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
  • Ricketts TC; senior policy fellow, Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
  • Fraher EP; director, Program on Health Workforce Research, Cecil G. Sheps Center for Health Services Research; assistant professor, Department of Family Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
N C Med J ; 82(1): 29-35, 2021.
Article en En | MEDLINE | ID: mdl-33397751
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 / Fuerza Laboral en Salud Tipo de estudio: Prognostic_studies Límite: Aged / Humans País/Región como asunto: America do norte Idioma: En Revista: N C Med J Año: 2021 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
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XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 / Fuerza Laboral en Salud Tipo de estudio: Prognostic_studies Límite: Aged / Humans País/Región como asunto: America do norte Idioma: En Revista: N C Med J Año: 2021 Tipo del documento: Article Pais de publicación: Estados Unidos