Social Vulnerability Analysis to Disaster COVID-19 in Central Java

• Published in: IOP conference series. Earth and environmental science Vol. 1233; no. 1; pp. 12028 - 12042
• Main Authors: Qomariyah, N, Mei, E T W
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.08.2023
• Subjects: COVID-19; Disasters; Economic impact; Principal components analysis; Service facilities; Temporal distribution
• ISSN: 1755-1307; 1755-1315
• DOI: 10.1088/1755-1315/1233/1/012028

Abstract The COVID-19 disaster has socio-economic impacts in various regions, including Central Java. COVID-19 has the potential to exacerbate social vulnerability due to the limited internal conditions of individuals to survive. This study tries to analyze social vulnerability based on indicators of individual conditions demographically, socio-economically, and the ability to access service facilities which can be exacerbated by the potential danger of COVID-19. This study aims to analyze the level of social vulnerability and the spatial and temporal distribution of the COVID-19 disaster in Central Java. This study uses a quantitative analysis method by calculating Principle Component Analysis (PCA) and Social Vulnerability Index (SoVI) to identify the level of social vulnerability in Central Java. Analysis of the level of the COVID-19 disaster uses cumulative positive case data which is analyzed spatially and temporally using ArcGIS. This study shows that the higher the SoVI value in a region, the higher the level of individual social vulnerability in that region. The results showed that the highest level of social vulnerability to the COVID-19 disaster in Central Java was the cities of Semarang, Cilacap and Banyumas which were influenced by the conditions of individual vulnerability and the number of positive cases of COVID-19.