RESUMEN
Since the outbreak of the Middle East Respiratory Syndrome Coronavirus (MERS-CoV) in 2012 in the Middle East, we have proposed a deterministic theoretical model to understand its transmission between individuals and MERS-CoV reservoirs such as camels. We aim to calculate the basic reproduction number (R0) of the model to examine its airborne transmission. By applying stability theory, we can analyze and visualize the local and global features of the model to determine its stability. We also study the sensitivity of R0 to determine the impact of each parameter on the transmission of the disease. Our model is designed with optimal control in mind to minimize the number of infected individuals while keeping intervention costs low. The model includes time -dependent control variables such as supportive care, the use of surgical masks, government campaigns promoting the importance of masks, and treatment. To support our analytical work, we present numerical simulation results for the proposed model.
RESUMEN
Novel corona virus disease (COVID-19) has so far has killed more than 3.7million and infected more than 175 million till June, 2021 throughout the world. The virus causes a severe infection which not only affects the lungs but other human vital organs such as the heart, kidneys, and liver also become vulnerable to the virus and can lead to various complications. The pathogenesis of the disease is complicated and results in multiple vital organ dysfunctions. There is a dire need for understanding the pathogenesis of the infection so the effects of the virus can be effectively treated in human vital organs. The present study aimed to focus on the understating and evaluating the effects of COVID-2019 on various vital systems organs including the respiratory system, nervous system cardiovascular system, and other organs such as the kidney and liver. Moreover, we have highlighted the novel virus pathogenesis through its interactions with human cells. This will add significant information to the body of scientific knowledge and will increase the understanding of physicians about the effects of COVID-19 on vital human organs. There is a dire need for understanding the pathogenesis of the infection so the effects of the virus can be effectively arrested in human vital organ
RESUMEN
The majority of infectious illnesses, such as HIV/AIDS, Hepatitis, and coronavirus (2019-nCov), are extremely dangerous. Due to the trial version of the vaccine and different forms of 2019-nCov like beta, gamma, delta throughout the world, still, there is no control on the transmission of coronavirus. Delay factors such as social distance, quarantine, immigration limitations, holiday extensions, hospitalizations, and isolation are being utilized as essential strategies to manage the outbreak of 2019-nCov. The effect of time delay on coronavirus disease transmission is explored using a non-linear fractional order in the Caputo sense in this paper. The existence theory of the model is investigated to ensure that it has at least one and unique solution. The Ulam-Hyres (UH) stability of the considered model is demonstrated to illustrate that the stated model’s solution is stable. To determine the approximate solution of the suggested model, an efficient and reliable numerical approach (Adams-Bashforth) is utilized. Simulations are used to visualize the numerical data in order to understand the behavior of the different classes of the investigated model. The effects of time delay on dynamics of coronavirus transmission are shown through numerical simulations via MATLAB-17. © 2022 the Author(s), licensee AIMS Press.