Likelihood-Free Dynamical Survival Analysis applied to the COVID-19 epidemic in Ohio.

Klaus, Colin; Wascher, Matthew; KhudaBukhsh, Wasiur R; Rempala, Grzegorz A

Klaus, Colin; Wascher, Matthew; KhudaBukhsh, Wasiur R; Rempala, Grzegorz A.

Afiliación

Klaus C; Mathematical Biosciences Institute and the Division of Biostatistics, College of Public Health, The Ohio State University, Cunz Hall, 1841 Neil Avenue, Columbus, OH 43210, USA.
Wascher M; Department of Mathematics, University of Dayton, 300 College Park Dayton, Ohio 45469, USA.
KhudaBukhsh WR; School of Mathematical Sciences, The University of Nottingham, University Park, Nottingham NG7 2RD, UK.
Rempala GA; Mathematical Biosciences Institute and the Division of Biostatistics, College of Public Health, The Ohio State University, Cunz Hall, 1841 Neil Avenue, Columbus, OH 43210, USA.

Math Biosci Eng ; 20(2): 4103-4127, 2023 01.

Article en En | MEDLINE | ID: mdl-36899619

Asunto(s)

COVID-19; Epidemias; Humanos; Ohio; Probabilidad

Palabras clave

ABC method; PDE system; SIR epidemics; nonlocal PDE; nonlocal conservation laws; numerical solution; statistical inference; vaccination

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Epidemias / COVID-19 Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Math Biosci Eng Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

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