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Controlling the Spread of COVID-19: Optimal Control Analysis
المؤلفون المشاركون
Madubueze, Chinwendu E.
Dachollom, Sambo
Onwubuya, Isaac Obiajulu
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-09-17
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
Coronavirus disease 2019 (COVID-19) is a disease caused by severe acute respiratory syndrome coronavirus 2 (SARS CoV-2).
It was declared on March 11, 2020, by the World Health Organization as pandemic disease.
The disease has neither approved medicine nor vaccine and has made governments and scholars search for drastic measures in combating the pandemic.
Regrettably, the spread of the virus and mortality due to COVID-19 has continued to increase daily.
Hence, it is imperative to control the spread of the disease particularly using nonpharmacological strategies such as quarantine, isolation, and public health education.
This work studied the effect of these different control strategies as time-dependent interventions using mathematical modeling and optimal control approach to ascertain their contributions in the dynamic transmission of COVID-19.
The model was proven to have an invariant region and was well-posed.
The basic reproduction number and effective reproduction numbers were computed with and without interventions, respectively, and were used to carry out the sensitivity analysis that identified the critical parameters contributing to the spread of COVID-19.
The optimal control analysis was carried out using the Pontryagin’s maximum principle to figure out the optimal strategy necessary to curtail the disease.
The findings of the optimal control analysis and numerical simulations revealed that time-dependent interventions reduced the number of exposed and infected individuals compared to time-independent interventions.
These interventions were time-bound and best implemented within the first 100 days of the outbreak.
Again, the combined implementation of only two of these interventions produced a good result in reducing infection in the population.
While, the combined implementation of all three interventions performed better, even though zero infection was not achieved in the population.
This implied that multiple interventions need to be deployed early in order to reduce the virus to the barest minimum.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Madubueze, Chinwendu E.& Dachollom, Sambo& Onwubuya, Isaac Obiajulu. 2020. Controlling the Spread of COVID-19: Optimal Control Analysis. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1139534
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Madubueze, Chinwendu E.…[et al.]. Controlling the Spread of COVID-19: Optimal Control Analysis. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1139534
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Madubueze, Chinwendu E.& Dachollom, Sambo& Onwubuya, Isaac Obiajulu. Controlling the Spread of COVID-19: Optimal Control Analysis. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1139534
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1139534
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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