Effect of Population Density and Altitude on COVID-19 : A Spatial Pattern

Widya Hary Cahyati(1), Sidiq Purwoko(2), Eko Farida(3), Marizka Khairunnisa(4), Ika Puspita Asturiningtyas(5), Hadi Ashar(6), Candra Puspitasari(7),

DOI: https://doi.org/10.15294/kemas.v18i2.37327


(1) Universitas Negeri Semarang
(2) National Research and Innovation Agency
(3) Universitas Negeri Semarang
(4) National Research and Innovation Agency
(5) Ministry of Health
(6) National Research and Innovation Agency
(7) Ministry of Health

Abstract

The Covid-19 pandemic that has been going on since March 2020 has spread rapidly, with high mortality In Indonesia. Central Java, Covid-19 remains a disease with a Case Fatality Rate (CFR) of 4.4% and is above Indonesia’s CFR of 3.0%. In Magelang itself,  positive cases of Covid-19 in 2020 reached 4418 and were among the top 3 cases in Central Java Province. This study’s purpose was to spatially describe the distribution of new cases of Covid-19 in terms of population density and elevation of the sub-district area in Magelang. The type of research is descriptive quantitative with ecological studies using a spatial approach. The results showed that the distribution of new cases of Covid-19 has a unique pattern in mapping based on population density and altitude. Some of the new distribution cases showed a distribution pattern following the regional elevation and almost entirely following the pattern of population density. The increase of Covid-19 tends to be higher in areas with high-density populations and low-altitude regions. This study concludes that the distribution pattern of new Covid-19 cases is influenced by population density and the area’s height during the peak period of new Covid-19 cases in 2020 at Magelang.

Keywords

Mapping Of Diseases, Covid-19, Altitude, Population Density

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