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Small Area Forecasting of Opioid-Related Mortality: Bayesian Spatiotemporal Dynamic Modeling Approach.
Bauer, Cici; Zhang, Kehe; Li, Wenjun; Bernson, Dana; Dammann, Olaf; LaRochelle, Marc R; Stopka, Thomas J.
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  • Bauer C; Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States.
  • Zhang K; Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States.
  • Li W; Department of Public Health, University of Massachusetts Lowell, Lowell, MA, United States.
  • Bernson D; Office of Population Health, Department of Public Health, The Commonwealth of Massachusetts, Boston, MA, United States.
  • Dammann O; Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, United States.
  • LaRochelle MR; Department of Gynecology and Obstetrics, Hannover Medical School, Hannover, Germany.
  • Stopka TJ; Clinical Addiction Research and Education Unit, Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, United States.
JMIR Public Health Surveill ; 9: e41450, 2023 02 10.
Article en En | MEDLINE | ID: mdl-36763450
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: COVID-19 / Analgésicos Opioides Tipo de estudio: Prognostic_studies País/Región como asunto: America do norte Idioma: En Revista: JMIR Public Health Surveill Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: COVID-19 / Analgésicos Opioides Tipo de estudio: Prognostic_studies País/Región como asunto: America do norte Idioma: En Revista: JMIR Public Health Surveill Año: 2023 Tipo del documento: Article