The Hard Lessons and Shifting Modeling Trends of COVID-19 Dynamics: Multiresolution Modeling Approach.

Akman, Olcay; Chauhan, Sudipa; Ghosh, Aditi; Liesman, Sara; Michael, Edwin; Mubayi, Anuj; Perlin, Rebecca; Seshaiyer, Padmanabhan; Tripathi, Jai Prakash

Akman, Olcay; Chauhan, Sudipa; Ghosh, Aditi; Liesman, Sara; Michael, Edwin; Mubayi, Anuj; Perlin, Rebecca; Seshaiyer, Padmanabhan; Tripathi, Jai Prakash.

Afiliación

Akman O; Intercollegiate Biomathematics Alliance, Normal, IL, USA.
Chauhan S; Center for Collaborative Studies in Mathematical Biology, Illinois State University, Normal, IL, USA.
Ghosh A; Amity Institute of Applied Sciences, Amity University, Noida, Uttar Pradesh, India. sudipachauhan@gmail.com.
Liesman S; Intercollegiate Biomathematics Alliance, Normal, IL, USA.
Michael E; Department of Mathematics, Texas A&M University, Commerce, TX, USA.
Mubayi A; Intercollegiate Biomathematics Alliance, Normal, IL, USA.
Perlin R; Center for Collaborative Studies in Mathematical Biology, Illinois State University, Normal, IL, USA.
Seshaiyer P; College of Public Health, University of South Florida, Tampa, FL, USA.
Tripathi JP; Intercollegiate Biomathematics Alliance, Normal, IL, USA. anujmubayi@yahoo.com.

Bull Math Biol ; 84(1): 3, 2021 11 19.

Article en En | MEDLINE | ID: mdl-34797415

Asunto(s)

COVID-19; Pandemias; Humanos; Conceptos Matemáticos; Estudios Prospectivos; SARS-CoV-2

Palabras clave

Multi-objective optimization; Participatory modeling

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Pandemias / COVID-19 Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Bull Math Biol Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

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