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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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 |
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Indonesia Indonesia |
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Indonesia |
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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 |
| _version_ |
1822001920442630144 |