Mathematical modeling for novel coronavirus (COVID-19) and control.
Numer Methods Partial Differ Equ
; 38(4): 760-776, 2022 Jul.
Article
in English
| MEDLINE | ID: covidwho-942444
ABSTRACT
In the present investigations, we construct a new mathematical for the transmission dynamics of corona virus (COVID-19) using the cases reported in Kingdom of Saudi Arabia for March 02 till July 31, 2020. We investigate the parameters values of the model using the least square curve fitting and the basic reproduction number is suggested for the given data is â0 ≈ 1.2937. The stability results of the model are shown when the basic reproduction number is â0 < 1. The model is locally asymptotically stable when â0 < 1. Further, we show some important parameters that are more sensitive to the basic reproduction number â0 using the PRCC method. The sensitive parameters that act as a control parameters that can reduce and control the infection in the population are shown graphically. The suggested control parameters can reduce dramatically the infection in the Kingdom of Saudi Arabia if the proper attention is paid to the suggested controls.
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Collection:
International databases
Database:
MEDLINE
Type of study:
Observational study
Language:
English
Journal:
Numer Methods Partial Differ Equ
Year:
2022
Document Type:
Article
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