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COVID-19 SEIAR Model with Sensitivity Analysis
Lecture Notes in Electrical Engineering ; 954:91-98, 2023.
Artículo en Inglés | Scopus | ID: covidwho-20234834
ABSTRACT
Beside the unexpected toll of mortality and morbidity caused by COVID-19 worldwide, low- and middle-income countries are more suffering from the devastating issues on economic and social life. This disease has fostered mathematical modelling. In this paper, a SEIAR mathematical model is presented to illustrate how policymakers may apply efficient strategies to end or at least to control the devastating wide spread of COVID-19. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Texto completo: Disponible Colección: Bases de datos de organismos internacionales Base de datos: Scopus Idioma: Inglés Revista: Lecture Notes in Electrical Engineering Año: 2023 Tipo del documento: Artículo

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Texto completo: Disponible Colección: Bases de datos de organismos internacionales Base de datos: Scopus Idioma: Inglés Revista: Lecture Notes in Electrical Engineering Año: 2023 Tipo del documento: Artículo