{"id":45034,"date":"2022-08-22T09:17:42","date_gmt":"2022-08-22T06:17:42","guid":{"rendered":"https:\/\/ihcoedu.uobaghdad.edu.iq\/?p=45034"},"modified":"2023-06-28T18:44:44","modified_gmt":"2023-06-28T15:44:44","slug":"%d9%82%d8%b3%d9%85-%d8%a7%d9%84%d8%b1%d9%8a%d8%a7%d8%b6%d9%8a%d8%a7%d8%aa-%d8%a8%d9%86%d8%a7%d9%82%d8%b4-%d8%b1%d8%b3%d8%a7%d9%84%d8%a9-%d9%85%d8%a7%d8%ac%d8%b3%d8%aa%d9%8a%d8%b1-%d8%aa%d8%aa%d9%88","status":"publish","type":"post","link":"https:\/\/ihcoedu.uobaghdad.edu.iq\/?p=45034","title":{"rendered":"\u0642\u0633\u0645 \u0627\u0644\u0631\u064a\u0627\u0636\u064a\u0627\u062a \u0628\u0646\u0627\u0642\u0634 \u0631\u0633\u0627\u0644\u0629 \u0645\u0627\u062c\u0633\u062a\u064a\u0631 \u062a\u062a\u0648\u0635\u0644 \u0627\u0644\u0649 \u0637\u0631\u064a\u0642\u0629 \u0645\u0646\u0627\u0633\u0628\u0629 \u0644\u062d\u0644 \u0628\u0639\u0636 \u0623\u0646\u0638\u0645\u0629 \u0627\u0644\u0645\u0639\u0627\u062f\u0644\u0627\u062a \u0627\u0644\u062a\u0641\u0627\u0636\u0644\u064a\u0629 \u0627\u0644\u0627\u0639\u062a\u064a\u0627\u062f\u064a\u0629 \u0645\u0639 \u062a\u0637\u0628\u064a\u0642\u0627\u062a\u0647\u0627 \u0641\u064a \u0639\u0644\u0645 \u0627\u0644\u0623\u0648\u0628\u0626\u0629"},"content":{"rendered":"

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    \n
  • \n

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  • \n

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    \n

    A Suitable Method for Solving Some Systems of Ordinary Differential Equations with their Applications in Epidemiology<\/span><\/h3>\n

    By By: Emad Talal\u00a0 Ghadeer<\/span><\/h3>\n

    Supervised By: Asst. Prof. Dr. Maha Abduljabbar Mohammed<\/span><\/h3>\n

    Abstract<\/span><\/h3>\n

    In this thesis, a suitable approximate-simulation method is used to solve a non-linear system that contains multi-variables and multi-parameters with absent real data. The solution to such type of system needs a long time with some difficulty. Mean Latin Hypercube_Runge Kutta () proposed hybrid method solves such a system that has random parameters easy to implement and fast. In addition; it is the appropriate method for solving the change in the values of the system coefficients with time. The mentioned system has been given realistic results with that has been applied to the epidemic model. The COVID-19 model from 2020 in Iraq is the application under the research. In addition to the accurate numerical method which is the Runge-Kutta method of order four has been used to solve this problem that is represented in the epidemic model for the purpose of comparison. The spread of the COVID-19 pandemic can be observed via the behavior of the different stages of the model that approximates the behavior of actual the COVID-19 epidemic in Iraq<\/span><\/h3>\n

    \u00a0\u00a0\u00a0\u00a0 The comparison study between the numerical results with the proposed approximate-simulation results obtained is explained in tables, and more clearly graphically. The COVID-19 pandemic in our study will vanish in the next few years,<\/span> according to the behavior of the epidemic for all its stages mentioned in our study<\/span><\/h3>\n

     <\/p>\n","protected":false},"excerpt":{"rendered":"

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