The measles epidemic model assessment under real statistics: an application of stochastic optimal control theory.

Liu, Peijiang; Ikram, Rukhsar; Khan, Amir; Din, Anwarud

Liu, Peijiang; Ikram, Rukhsar; Khan, Amir; Din, Anwarud.

Afiliación

Liu P; School of Statistics and Mathematics, Guangdong University of Finance and Economics, Big data and Educational Statistics Application Laboratory, Guangzhou, PR China.
Ikram R; School of Statistics and Mathematics, Guangdong University of Finance and Economics, Guangzhou, PR China.
Khan A; Department of Mathematics and Statistics, University of Swat, Khyber Pakhtunkhwa, Pakistan.
Din A; Department of Mathematics, Faculty of Science, King Mongkut's University of Technology, Thonburi (KMUTT), Bangkok, Thailand.

Comput Methods Biomech Biomed Engin ; 26(2): 138-159, 2023 Feb.

Article en En | MEDLINE | ID: mdl-35297714

Asunto(s)

Epidemias; Sarampión; Humanos; Simulación por Computador; Procesos Estocásticos; Modelos Biológicos; Sarampión/epidemiología; Sarampión/prevención & control

Palabras clave

Stochastic epidemic model; extinction; real data; stationary distribution; stochastic optimal control; threshold value

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Epidemias / Sarampión Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Comput Methods Biomech Biomed Engin Asunto de la revista: ENGENHARIA BIOMEDICA / FISIOLOGIA Año: 2023 Tipo del documento: Article Pais de publicación: Reino Unido

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