Dwi Agung Wicaksono, Dwi Agung Wicaksono
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SPATIAL ANALYSIS OF COVID-19 SPREAD PATTERN USING KERNEL DENSITY METHOD IN SURAKARTA Dwi Agung Wicaksono, Dwi Agung Wicaksono; Papilaya, Frederik Samuel
JURNAL GEOGRAFI Geografi dan Pengajarannya Vol 21 No 2 (2023): JURNAL GEOGRAFI Geografi dan Pengajarannya
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jggp.v21n2.p93-106

Abstract

The COVID-19 pandemic caused by the SARS-CoV-2 virus, which spreads through the respiratory system and can cause respiratory problems, began in Wuhan, China, in December 2019 and quickly spread worldwide, including Indonesia. Surakarta experienced a significant increase in cases from April to June due to factors such as the celebration of Eid al-Fitr. The author used the Kernel Density method to map the spatial distribution of COVID-19 cases in Surakarta and to investigate the relationship between vaccination rates and positive patients. The methodology involved a quantitative descriptive study using secondary data from the Surakarta Health Agency in May 2021. Based on the research, it was found that there was no relationship between the achievement of the first dose of vaccination and the number of confirmed COVID-19 cases in the city of Surakarta. The spread of COVID-19 was more influenced by activities carried out by the community in public facilities or outdoor spaces, as well as compliance with the health protocols provided by the government.