MATHEMATICAL MODELING ON ASSESSING COVID-19 VACCINATION STRATEGY: IN CONTEXT OF REGIONS IN INDONESIA

As a mitigation measure for the COVID-19 outbreak in Indonesia, this study assesses several strategies for implementing vaccination in Indonesia. There are four things that are studied in this research: the effect of the vaccination timeline, the effect targeting certain age group for jab, the ef...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Khairudin Sukandar, Kamal
التنسيق: Theses
اللغة:Indonesia
الوصول للمادة أونلاين:https://digilib.itb.ac.id/gdl/view/54954
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id id-itb.:54954
spelling id-itb.:549542021-06-11T08:39:16ZMATHEMATICAL MODELING ON ASSESSING COVID-19 VACCINATION STRATEGY: IN CONTEXT OF REGIONS IN INDONESIA Khairudin Sukandar, Kamal Indonesia Theses COVID-19 vaccination; age groups; mobility; vaccine distribution; mudik lebaran. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/54954 As a mitigation measure for the COVID-19 outbreak in Indonesia, this study assesses several strategies for implementing vaccination in Indonesia. There are four things that are studied in this research: the effect of the vaccination timeline, the effect targeting certain age group for jab, the effect of vaccination distribution, and the effect of the massive mobility, especially for Mudik Lebaran 2021. In practice, the compartmental model SIQRD (Susceptible , Infected, Quarantined , Recovered, Death) is built by accommodating reinfection, infection, and even vaccination factors. As a development, the SIQRD model was developed based on each issue: adding the age structure for addressing the age group target issue, and adding mobility factors for addressing the massive mobility effect. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description As a mitigation measure for the COVID-19 outbreak in Indonesia, this study assesses several strategies for implementing vaccination in Indonesia. There are four things that are studied in this research: the effect of the vaccination timeline, the effect targeting certain age group for jab, the effect of vaccination distribution, and the effect of the massive mobility, especially for Mudik Lebaran 2021. In practice, the compartmental model SIQRD (Susceptible , Infected, Quarantined , Recovered, Death) is built by accommodating reinfection, infection, and even vaccination factors. As a development, the SIQRD model was developed based on each issue: adding the age structure for addressing the age group target issue, and adding mobility factors for addressing the massive mobility effect.
format Theses
author Khairudin Sukandar, Kamal
spellingShingle Khairudin Sukandar, Kamal
MATHEMATICAL MODELING ON ASSESSING COVID-19 VACCINATION STRATEGY: IN CONTEXT OF REGIONS IN INDONESIA
author_facet Khairudin Sukandar, Kamal
author_sort Khairudin Sukandar, Kamal
title MATHEMATICAL MODELING ON ASSESSING COVID-19 VACCINATION STRATEGY: IN CONTEXT OF REGIONS IN INDONESIA
title_short MATHEMATICAL MODELING ON ASSESSING COVID-19 VACCINATION STRATEGY: IN CONTEXT OF REGIONS IN INDONESIA
title_full MATHEMATICAL MODELING ON ASSESSING COVID-19 VACCINATION STRATEGY: IN CONTEXT OF REGIONS IN INDONESIA
title_fullStr MATHEMATICAL MODELING ON ASSESSING COVID-19 VACCINATION STRATEGY: IN CONTEXT OF REGIONS IN INDONESIA
title_full_unstemmed MATHEMATICAL MODELING ON ASSESSING COVID-19 VACCINATION STRATEGY: IN CONTEXT OF REGIONS IN INDONESIA
title_sort mathematical modeling on assessing covid-19 vaccination strategy: in context of regions in indonesia
url https://digilib.itb.ac.id/gdl/view/54954
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