AGENT-BASED SPATIAL MODELING OF THE DISTRIBUTION AND IMPACT OF VACCINATION AND REGULATIONS ON THE SPREAD OF COMMUNICABLE DISEASES IN THE FACULTY STEI ITB AREA

• Main Author: Faturrahman, Vegi
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/80130
• Institution: Institut Teknologi Bandung

COVID-19 is an infectious disease that emerged in 2020 and has brought about numerous negative impacts, altering social norms, especially in the context of teaching and learning on campus. Preventive measures have been implemented to curb the spread of the virus, including vaccination campaigns and protocols to restrict movement. By getting vaccinated, individuals can increase their immunity and reduce the risk of transmission. It is crucial to ensure the vaccine's effectiveness to control the spread of COVID-19. Additionally, enforcing movement restrictions is essential to maintain the continuity of teaching and learning while minimizing the negative impact on people's health. The utilization and enforcement of COVID-19 vaccines can be analyzed through modeling to help predict the spread of the virus. There are various types of modeling, including agent-based modeling, which can provide an overview of how individuals in a system behave after specific actions are taken. Spatial data can be incorporated to create a more accurate representation of the location when modeling is performed. This research aims to use agent-based spatial modeling to forecast the impact of vaccine usage and rule enforcement on the spread of COVID- 19. Based on test results, the more the population in an area is vaccinated, the more positive impacts it will have on fewer individuals infected by the infectious disease. However, to provide maximum results, vaccines must be given with the most significant possible efficacy. Apart from that, based on testing, implementing restrictions in an area can also be used as an alternative to slow the spread of infectious disease cases. Based on test results, when the population in an area is given a vaccine of 50%, 80%, and 100%, respectively, with an efficacy of 75%, it will reduce the peak of positive cases by 8.39%, 19.98%, and 21.44% when compared to without the vaccine and rule. To provide maximum results, it is necessary to give vaccines with the maximum possible efficacy, one of which is 95% efficacy in a 100% vaccinated population, reducing the peak of positive cases by 76.19%. In addition, implementing restrictions in an area can be used as an alternative to slow the spread of infectious disease cases, such as shifting the second peak by up to 14 days compared to without vaccines and regulations.