A MATLAB toolbox to fit and forecast growth trajectories using phenomenological growth models: Application to epidemic outbreaks.

Chowell, Gerardo; Bleichrodt, Amanda; Dahal, Sushma; Tariq, Amna; Roosa, Kimberlyn; Hyman, James M; Luo, Ruiyan

Chowell, Gerardo; Bleichrodt, Amanda; Dahal, Sushma; Tariq, Amna; Roosa, Kimberlyn; Hyman, James M; Luo, Ruiyan.

Afiliação

Chowell G; Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA.
Bleichrodt A; Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA.
Dahal S; Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA.
Tariq A; Stanford University, School of Medicine, CA, USA.
Roosa K; National Institute for Mathematical and Biological Synthesis (NIMBioS), University of Tennessee, Knoxville, TN, USA.
Hyman JM; Department of Mathematics, Center for Computational Science, Tulane University, New Orleans, LA, USA.
Luo R; Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA.

Res Sq ; 2023 Apr 21.

Article em En | MEDLINE | ID: mdl-37034746

Palavras-chave

Gompertz model; MATLAB toolbox; Richards model; dynamic growth models; epidemic outbreak; generalized logistic-growth model; generalized-growth model; real-time forecasting

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article