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Clinical, social, and policy factors in COVID-19 cases and deaths: methodological considerations for feature selection and modeling in county-level analyses.
Madlock-Brown, Charisse; Wilkens, Ken; Weiskopf, Nicole; Cesare, Nina; Bhattacharyya, Sharmodeep; Riches, Naomi O; Espinoza, Juan; Dorr, David; Goetz, Kerry; Phuong, Jimmy; Sule, Anupam; Kharrazi, Hadi; Liu, Feifan; Lemon, Cindy; Adams, William G.
Afiliação
  • Madlock-Brown C; Health Informatics and Information Management, University of Tennessee Health Science Center, 66 North Pauline St. rm 221, Memphis, TN, 38163, USA. cmadlock@uthsc.edu.
  • Wilkens K; Health Outcomes and Policy Research Program, University of Tennessee Health Science Center, Memphis, TN, USA. cmadlock@uthsc.edu.
  • Weiskopf N; National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, USA.
  • Cesare N; Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA.
  • Bhattacharyya S; Biostatistics and Epidemiology Data Analytics Center, Boston University, Boston, MA, USA.
  • Riches NO; Department of Statistics, Oregon State University, Corvallis, OR, USA.
  • Espinoza J; Obstetrics and Gynecology, University of Utah School of Medicine, Salt Lake City, UT, USA.
  • Dorr D; Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA, USA.
  • Goetz K; Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA.
  • Phuong J; National Eye Institute, Bethesda, MD, USA.
  • Sule A; University of Washington Research Information Technologies, Seattle, WA, USA.
  • Kharrazi H; Harborview Injury Prevention Research Center, Seattle, WA, USA.
  • Liu F; Internal Medicine, St Joseph Mercy Oakland Hospital, Pontiac, MI, USA.
  • Lemon C; Johns Hopkins School of Public Health, Baltimore, MD, USA.
  • Adams WG; Chan Medical School, University of Massachusetts, Worcester, MA, USA.
BMC Public Health ; 22(1): 747, 2022 04 14.
Article em En | MEDLINE | ID: mdl-35421958
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Segregação Social / COVID-19 Tipo de estudo: Prognostic_studies Limite: Adult / Humans País como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Segregação Social / COVID-19 Tipo de estudo: Prognostic_studies Limite: Adult / Humans País como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article