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Evaluation of Bayesian spatiotemporal infectious disease models for prospective surveillance analysis.
Kim, Joanne; Lawson, Andrew B; Neelon, Brian; Korte, Jeffrey E; Eberth, Jan M; Chowell, Gerardo.
Afiliación
  • Kim J; Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA. Joanne.Kim@osumc.edu.
  • Lawson AB; Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA.
  • Neelon B; Usher Institute, Centre for Population Health Sciences, Edinburgh Medical School, University of Edinburgh, Edinburgh, UK.
  • Korte JE; Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA.
  • Eberth JM; Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA.
  • Chowell G; Department of Health Management and Policy, Drexel University, Philadelphia, PA, USA.
BMC Med Res Methodol ; 23(1): 171, 2023 07 22.
Article en En | MEDLINE | ID: mdl-37481553
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedades Transmisibles / COVID-19 Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedades Transmisibles / COVID-19 Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article