Extended Kalman filter based on stochastic epidemiological model for COVID-19 modelling.

Zhu, Xinhe; Gao, Bingbing; Zhong, Yongmin; Gu, Chengfan; Choi, Kup-Sze

Zhu, Xinhe; Gao, Bingbing; Zhong, Yongmin; Gu, Chengfan; Choi, Kup-Sze.

Afiliación

Zhu X; School of Engineering, RMIT University, Victoria, Australia. Electronic address: xinhe.zhu@rmit.edu.au.
Gao B; School of Automation, Northwestern Polytechnical University, Xi'an, China.
Zhong Y; School of Engineering, RMIT University, Victoria, Australia.
Gu C; Centre for Smart Health, School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China.
Choi KS; Centre for Smart Health, School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China.

Comput Biol Med ; 137: 104810, 2021 10.

Article en En | MEDLINE | ID: mdl-34478923

Asunto(s)

COVID-19; Simulación por Computador; Susceptibilidad a Enfermedades; Humanos; Distanciamiento Físico; SARS-CoV-2

Palabras clave

And extended kalman filter; COVID-19 modelling; Re-infection; Social distancing; Stochastic epidemiological model

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Comput Biol Med Año: 2021 Tipo del documento: Article Pais de publicación: Estados Unidos

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