Publications by authors named "Sarbaz H A Khoshnaw"

Article Synopsis
  • - The article presents a mathematical model for HIV/AIDS, focusing on CD4+ T cells and antiretroviral treatment using the SITA framework, which separates infected and treated individuals based on their CD4+ counts.
  • - Findings indicate that the global stability of an HIV/AIDS-free state is affected by the basic reproduction number, with bifurcation analysis showing a key transition at a reproduction number of one.
  • - The model is validated with data from high-prevalence countries (Eswatini, Lesotho, Botswana, South Africa) and emphasizes the importance of tailored strategies for each country, highlighting that improving condom quality can significantly aid in reducing HIV/AIDS prevalence.
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Malaria is one of the major causes of a high death rate due to infectious diseases every year. Despite attempts to eradicate the disease, results have not been very successful. New vaccines and other treatments are being constantly developed to seek optimal ways to prevent malaria outbreaks.

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The world health organization (WHO) has declared the Coronavirus (COVID-19) a pandemic. In light of this ongoing global issue, different health and safety measure has been recommended by the WHO to ensure the proactive, comprehensive, and coordinated steps to bring back the whole world into a normal situation. This is an infectious disease and can be modeled as a system of non-linear differential equations with reaction rates which consider the rapid-test as the intervention program.

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The aim of this study is to investigate the effects of rapid testing and social distancing in controlling the spread of COVID-19, particularly in the city of Jakarta, Indonesia. We formulate a modified susceptible exposed infectious recovered compartmental model considering asymptomatic individuals. Rapid testing is intended to trace the existence of asymptomatic infected individuals among the population.

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Global efforts around the world are focused on to discuss several health care strategies for minimizing the impact of the new coronavirus (COVID-19) on the community. As it is clear that this virus becomes a public health threat and spreading easily among individuals. Mathematical models with computational simulations are effective tools that help global efforts to estimate key transmission parameters and further improvements for controlling this disease.

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