A Year of Spatio-Temporal Clusters of COVID-19 in Indonesia

Quaestiones Geographicae

article

Jumadi Jumadi¹  Vidya N. Fikriyah¹  Hamim Zaky Hadibasyir¹  Kuswaji Dwi Priyono¹  Muhammad Musiyam²  Andri N. R. Mardiah³  Arif Rohman⁴  Hamzah Hasyim⁶  Mohd. Hairy Ibrahim⁷ 

[1] Faculty of Geography, Universitas Muhammadiyah Surakarta;Department of Geography Education, Universitas Muhammadiyah Surakarta;The Ministry of National Development Planning/BAPPENAS;Geomatic Engineering, Institut Teknologi Sumatera;Centre for Spatial Analysis & Policy, School of Geography, University of Leeds;Faculty of Public Health, Universitas Sriwijaya, South Sumatra Province;Universiti Pendidikan Sultan Idris

关键词: COVID-19;    spatio-temporal analysis;    epidemic mapping;    pandemic;    Indonesia;   

DOI  :  10.2478/quageo-2022-0013

学科分类：医学（综合）

来源: Walter de Gruyter GmbH

【 摘 要 】

Coronavirus disease-2019 (COVID-19) in Indonesia began to appear on March 2, 2020 and led to a number of fatalities. Spatial analysis is important to study the spatio-temporal trend of COVID-19 cases and fatalities to get a better understanding of the spread as well as to mitigate it. However, such a comprehensive study at national level is not to be seen in Indonesia with limited health infrastructure. This study aims to analyse the spatio-temporal distribution and clusters of COVID-19 in Indonesia for a year period. COVID-19 cases, as well as the fatalities as a consequence of this disease, were collected from the government through publicly shared data. A geographic information system (GIS) was used to manage and analyse the data on demographics, cases, and fatalities. The case fatality rate (CFR) was produced based on the number of cases and deaths per province weekly. The spatio-temporal data of both cases and fatalities were generated from the data. Finally, K-means clustering was employed to classify the cluster of Indonesia based on the proportion of vulnerable age groups, cases, and CFR.

【 授权许可】

CC BY