Health Social Credit System Simulation of Covid-19 Pandemic in Tangerang City Districts

The spread of Covid-19 massively occurred in 2019 resulted in significant rate of morbidity and mortality. This study aimed to analyze data of factors contributing in the rise of Covid-19 cases. To analyze such factors, a comprehensive and thorough analysis of Covid-19 spread data in Tangerang city is required. Data evaluation have been conducted as of the occurrence of Covid-19 in early of 2020 until September 2022. From that data, an analysis of Covid-19 spread was conducted based on case phase and level. In the case, phase-based analysis, accumulation in each case number of each semester as well as analysis of factors that may bring any effect on the increase of Covid-19 cases have been conducted. While in case level, analysis of Covid-19 spread per semester has been done to measure the level of severity of its potential impacts. Such severity level was discovered from the total confirmed cases, the number of recovered cases, and the mortality rate arising in each level. The perilous level stage occured at level 4 in which the cases and its mortality cases are considerably high. Hence, in the area with the highest case, strict control and surveillance functions can be executed during the outbreak of Covid-19. Social credit system may be done by providing an evaluation and appreciation to regions with the lowest cases for Covid-19 spread. Dataset used in this paper was the data of Covid-19 spread in Tangerang city. © 2023 Little Lion Scientific.