Relationship risk factors and vulnerability to COVID-19 in East Jakarta

The handling of the COVID-19 pandemic must be based on the right strategy, which includes priority areas that need more attention. The priority areas that need attention are based on an assessment of the vulnerability of these areas to COVID-19 exposure. This study aims to assess the vulnerability of sub-districts in East Jakarta to COVID-19 exposure using the Multiple Linear Regression and Classification method. Those methods process six independent variables: the number of gathering locations, the area of slum settlements, the number of poor households, population density, the density of elderly, comorbidities. Using the Classification method for various variables that are thought to affect COVID-19 vulnerability shows an irregular pattern. Using the Multiple Linear Regression method shows that of the six independent variables, only two independent variables are factors that affect the vulnerability of COVID-19 in East Jakarta, namely 1) patients with comorbidities/tuberculosis and 2) the density of the elderly. Patients with comorbidities/tuberculosis have a significant positive effect on the number of positive COVID-19 cases. The number of patients with comorbidities/tuberculosis in an area tends to increase active COVID-19 cases in that area. On the other hand, the density of the elderly has a significant adverse effect on the number of positive COVID-19 cases, meaning that the higher density of the elderly reduces the number of COVID-19 cases. © 2023 Author(s).