AN EARLY MODEL OF COVID-19 TRANSMISION IN INDONESIA

The SARS-COV-2 virus, which causes COVID-19, has spread throughout the world. As of March 2, 2020, Indonesia has confirmed cases of COVID-19 and the number of cases is increasing rapidly within a few weeks. An understanding of the dynamics of disease transmission and the steps involved is importa...

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Main Author: Aini, Wirdatul
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/52246
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:52246
spelling id-itb.:522462021-02-16T09:27:26ZAN EARLY MODEL OF COVID-19 TRANSMISION IN INDONESIA Aini, Wirdatul Indonesia Theses COVID-19, mathematical model, Indonesia INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/52246 The SARS-COV-2 virus, which causes COVID-19, has spread throughout the world. As of March 2, 2020, Indonesia has confirmed cases of COVID-19 and the number of cases is increasing rapidly within a few weeks. An understanding of the dynamics of disease transmission and the steps involved is important for dealing with this virus. This study aims to simulate the spread of COVID-19 and to analyze effective policy strategies in Indonesia. The SEIQR model is proposed in this thesis and its application to the available data. In addition, this model is also developed by involving intervention factors that have a role in the spread of the virus in an area. The physical distancing intervention strategy is aimed at vulnerable individuals as a variable that allows them to be controlled by various policies. The results showed that the application of physical distancing intervention by 75% was very influential in reducing the number of new infections. Increasing case detection on a large scale could reduce the number of hidden cases that could result in new infections. Delays in policy implementation will have an impact on increasing the number of cases. Distance limiting is one way to contain the spread of the virus which may allow the formation of new clusters. 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 The SARS-COV-2 virus, which causes COVID-19, has spread throughout the world. As of March 2, 2020, Indonesia has confirmed cases of COVID-19 and the number of cases is increasing rapidly within a few weeks. An understanding of the dynamics of disease transmission and the steps involved is important for dealing with this virus. This study aims to simulate the spread of COVID-19 and to analyze effective policy strategies in Indonesia. The SEIQR model is proposed in this thesis and its application to the available data. In addition, this model is also developed by involving intervention factors that have a role in the spread of the virus in an area. The physical distancing intervention strategy is aimed at vulnerable individuals as a variable that allows them to be controlled by various policies. The results showed that the application of physical distancing intervention by 75% was very influential in reducing the number of new infections. Increasing case detection on a large scale could reduce the number of hidden cases that could result in new infections. Delays in policy implementation will have an impact on increasing the number of cases. Distance limiting is one way to contain the spread of the virus which may allow the formation of new clusters.
format Theses
author Aini, Wirdatul
spellingShingle Aini, Wirdatul
AN EARLY MODEL OF COVID-19 TRANSMISION IN INDONESIA
author_facet Aini, Wirdatul
author_sort Aini, Wirdatul
title AN EARLY MODEL OF COVID-19 TRANSMISION IN INDONESIA
title_short AN EARLY MODEL OF COVID-19 TRANSMISION IN INDONESIA
title_full AN EARLY MODEL OF COVID-19 TRANSMISION IN INDONESIA
title_fullStr AN EARLY MODEL OF COVID-19 TRANSMISION IN INDONESIA
title_full_unstemmed AN EARLY MODEL OF COVID-19 TRANSMISION IN INDONESIA
title_sort early model of covid-19 transmision in indonesia
url https://digilib.itb.ac.id/gdl/view/52246
_version_ 1822001176158142464