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• W3208260897 abstract "COVID-19, caused by a lately discovered coronavirus in Wuhan, China, is a respiratory ailment. Since the manifestation in 2019, there are already over 56 million cases of COVID-19 worldwide, with over 1.3 million mortality cases in vulnerable countries with inadequate healthcare infrastructures. The interaction between susceptible humans, infected individuals, and the coronavirus shed in the environment are investigated. A proper insight on the interaction between humans and coronavirus population will provide a comprehensive interplay between susceptible and infected humans, and the virus. The main goal of this chapter is to conduct a rigorous mathematical and statistical analysis of compartmentalized COVID-19 model that takes into consideration public compliance to COVID-19 rules and sanitation, and the interaction of human and the virus population in the environment, for the purpose of obtaining the effective reproduction number $$R_{0}$$ , at the coronavirus-free equilibrium, and in the presence of compliance. A quality analysis is performed to determine the stability of the system equilibrium point. To curtail the spread of the virus, a non-pharmaceutical intervention, such as public adherence and sanitation, is adopted, taking into account the cost effectiveness of the intervention. Our results show that COVID-19 is locally and asymptomatically stable if $$R_{0}<1$$ and globally stable if $$R_{0} le 1$$ . Further results show that the control involving both adherence and compliance to COVID-19 rules and sanitation prove to be the most cost-effective strategies." @default.
• W3208260897 created "2021-11-08" @default.
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• W3208260897 date "2021-11-02" @default.
• W3208260897 modified "2023-10-01" @default.
• W3208260897 title "Assessing the Impact of Public Compliance on the Use of Non-pharmaceutical Intervention with Cost-Effectiveness Analysis on the Transmission Dynamics of COVID-19: Insight from Mathematical Modeling" @default.
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• W3208260897 doi "https://doi.org/10.1007/978-3-030-72834-2_17" @default.
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