پروژه های آماده مدلسازی ریاضی سیستم‌ ها

این پروژه یک مقاله آماده با موضوع،  دقت مدل رشد لجستیک در توصیف شیوع کووید-۱۹ در امارات در ۱۷ صفحه ورد می باشد. در ادامه چکیده ای از این مقاله را خواهیم داشت:   To what extent can a logistic growth model accurately describe the spread of COVID-19 in UAE Rationale It was in the early part of 2020 that the outbreak of the COVID-19 pandemic affected the United Arab Emirates. Everything happened so fast schools went online, people were limited in their movement, and everyone in the country tracked the number of cases announced in the news. I, too, was fascinated by how fast at first the number of cases grew before slowing down and eventually becoming stable. Seeing such a phenomenon occur led me to ponder if a mathematical model could be developed that could predict it. In my research, I discovered a type of logistic growth curve known as a logistic growth model. Unlike a standard exponential model that relies upon unlimited growth, a logistic model includes a factor known as a “carrying capacity.” This caught my immediate interest as it accurately reflected reality as well because, while a large number of new infections were occurring at a fast rate in the initial stages of the outbreak in the UAE, a slower rate of spread was eventually experienced as social distancing, lockdowns, and vaccination program measures kicked in. Consequently, I decided that it was a good opportunity to examine just how well a logistic growth model could accurately fit a real-world situation in modeling the spread of COVID-19 within the UAE. By completing this inquiry, I hope to use mathematical analysis in a real-world situation that has impacted my community so greatly. In gaining a better understanding of a logistic growth model in a real-world situation such as a pandemic, I am not only to examine its validity in modeling real data but also realize just how well it actually fits in such a situation