Covid-19 Spread Simulation based on control measures in UAE

By February 2021, the total number of reported COVID-19 cases are over 110 million with 2.4 million death cases. In response to that, governments all over the world have imposed a variety of control measures including travel ban, lockdowns, events cancellation and closure of workspace and schools. I...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Yaseen, Amer (author)
منشور في: 2021
الموضوعات:
الوصول للمادة أونلاين:https://bspace.buid.ac.ae/handle/1234/1899
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author Yaseen, Amer
author_facet Yaseen, Amer
author_role author
dc.creator.none.fl_str_mv Yaseen, Amer
dc.date.none.fl_str_mv 2021-09-02T05:36:42Z
2021-09-02T05:36:42Z
2021-05
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv 20183111
https://bspace.buid.ac.ae/handle/1234/1899
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv The British University in Dubai (BUiD)
dc.subject.none.fl_str_mv COVID-19
simulation
United Arab Emirates (UAE)
control measures
SEIR compartmental model
virus infection
dc.title.none.fl_str_mv Covid-19 Spread Simulation based on control measures in UAE
dc.type.none.fl_str_mv Dissertation
description By February 2021, the total number of reported COVID-19 cases are over 110 million with 2.4 million death cases. In response to that, governments all over the world have imposed a variety of control measures including travel ban, lockdowns, events cancellation and closure of workspace and schools. In addition, continuous monitoring, contacts tracing and increasing the testing capacity were applied in most of the countries. With continuous growth of spread momentum, more strict rules are applied causing unprecedented disruption for society and economy. In this thesis, a SEIR compartmental model is proposed and developed by python-based program in order to analyze the virus transmission between different model compartments. The program executes the standard SEIR model differential equations over time under different combinations of control measures in order to examine their effectiveness on the virus development. Three control measures were discussed and analyzed in this thesis which namely are closure of schools, closure of universities and limitation of business capacity. Results show that if schools get closed, then the number of infections will surge rapidly starting from day 100 and reach a peak of 5% of population at day 150. Similarly, closing the universities will cause the number of infections to start surging at day 70 and reach a peak of 7% of population at day 120. Finally, forcing all employees to work remotely from home will lead to flattening the infection curve. Results show also that if we set the effectiveness value of control measure to 45%, then infections curve will get flattened and hence keep the infection rate under control. Finally, an optimized policy of control measures is proposed which will not only control the virus infection rate, but also will minimize the unnecessary control measures and keep the infected population below the capacity of the healthcare system.
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publishDate 2021
publisher.none.fl_str_mv The British University in Dubai (BUiD)
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spelling Covid-19 Spread Simulation based on control measures in UAEYaseen, AmerCOVID-19simulationUnited Arab Emirates (UAE)control measuresSEIR compartmental modelvirus infectionBy February 2021, the total number of reported COVID-19 cases are over 110 million with 2.4 million death cases. In response to that, governments all over the world have imposed a variety of control measures including travel ban, lockdowns, events cancellation and closure of workspace and schools. In addition, continuous monitoring, contacts tracing and increasing the testing capacity were applied in most of the countries. With continuous growth of spread momentum, more strict rules are applied causing unprecedented disruption for society and economy. In this thesis, a SEIR compartmental model is proposed and developed by python-based program in order to analyze the virus transmission between different model compartments. The program executes the standard SEIR model differential equations over time under different combinations of control measures in order to examine their effectiveness on the virus development. Three control measures were discussed and analyzed in this thesis which namely are closure of schools, closure of universities and limitation of business capacity. Results show that if schools get closed, then the number of infections will surge rapidly starting from day 100 and reach a peak of 5% of population at day 150. Similarly, closing the universities will cause the number of infections to start surging at day 70 and reach a peak of 7% of population at day 120. Finally, forcing all employees to work remotely from home will lead to flattening the infection curve. Results show also that if we set the effectiveness value of control measure to 45%, then infections curve will get flattened and hence keep the infection rate under control. Finally, an optimized policy of control measures is proposed which will not only control the virus infection rate, but also will minimize the unnecessary control measures and keep the infected population below the capacity of the healthcare system.The British University in Dubai (BUiD)2021-09-02T05:36:42Z2021-09-02T05:36:42Z2021-05Dissertationapplication/pdf20183111https://bspace.buid.ac.ae/handle/1234/1899enoai:bspace.buid.ac.ae:1234/18992021-10-14T11:47:18Z
spellingShingle Covid-19 Spread Simulation based on control measures in UAE
Yaseen, Amer
COVID-19
simulation
United Arab Emirates (UAE)
control measures
SEIR compartmental model
virus infection
title Covid-19 Spread Simulation based on control measures in UAE
title_full Covid-19 Spread Simulation based on control measures in UAE
title_fullStr Covid-19 Spread Simulation based on control measures in UAE
title_full_unstemmed Covid-19 Spread Simulation based on control measures in UAE
title_short Covid-19 Spread Simulation based on control measures in UAE
title_sort Covid-19 Spread Simulation based on control measures in UAE
topic COVID-19
simulation
United Arab Emirates (UAE)
control measures
SEIR compartmental model
virus infection
url https://bspace.buid.ac.ae/handle/1234/1899