Investigating Spatial Correlation Between COVID-19 Incidence and Poverty in Klaten Regency, Central Java Choirul Amin, Bela Hidayah, Dewi Novita Sari, Kuswadji Dwi Priyono, Chintania Azahra Tantri Noermartanto
Faculty of Geography Universitas Muhammadiyah Surakarta
Abstract
The COVID-19 pandemic caused a health and economic crisis. The strict lockdown to prevent the spread of the COVID-19 virus has an impact on stopping economic activity, which then causes per capita income to decrease so that the poor population increases. This research aims to: This research aims to: (1) analyze the spatial pattern of the COVID-19 incidence and poverty in Klaten Regency and (2) analyze the spatial correlation of COVID-19 incidence with poverty in the Klaten Regency. This research uses available secondary data. The data processing technique uses the Moran Index with the Queen Contiguity weighting matrix. Data were analyzed using Univariate Moran^s I test and Bivariate Moran^s I test with GeoDa software. The results show (1) The spatial pattern of the number of confirmed cases of COVID-19 in the Klaten Regency is clustered, and the spatial pattern of the number of poor people in the Klaten Regency is clustered. (2) The spatial correlation of the number of confirmed cases of COVID-19 with the number of poor population in Klaten Regency is negative (I = -0.063) and (I = -0.151), which shows that the high or low value of confirmed cases of COVID-19 in the Klaten Regency area does not have a resemblance to the value of the poor in the vicinity. So, in dealing with increasing poverty in Klaten Regency, the strategy that needs to be carried out is a comprehensive vaccination program in every sub-district in Klaten Regency for handling COVID-19, which is necessary to update data on poor people who are eligible for social assistance due to this pandemic.
Keywords: Spatial Correlation, Bivariate Moran^s I, COVID-19, Poverty, Klaten Regency
