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

Q4 Medicine
W. Cahyati, Sidiq Purwoko, E. Farida, M. Khairunnisa, I. P. Asturiningtyas, H. Ashar, Candra Puspitasari
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引用次数: 0

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.
人口密度和海拔对COVID-19的影响:一个空间格局
自2020年3月以来持续的Covid-19大流行迅速蔓延,印度尼西亚的死亡率很高。在中爪哇,Covid-19仍是一种病死率为4.4%的疾病,高于印度尼西亚3.0%的病死率。在马格朗市,2020年新冠肺炎阳性病例达到4418例,是中爪哇省病例最多的3个地区之一。本研究的目的是利用人口密度和海拔高度来描述马格朗街道地区新发病例的空间分布。研究类型是使用空间方法的描述性定量生态学研究。结果表明,基于人口密度和海拔的新发病例分布具有独特的作图模式。一些新的分布案例显示出随区域海拔变化的分布格局,几乎完全符合人口密度的分布格局。在人口密集地区和低海拔地区,Covid-19的增加趋势更高。研究认为,2020年马格朗地区新冠肺炎疫情高峰期间新冠病例分布格局受人口密度和区域高度影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.20
自引率
0.00%
发文量
20
审稿时长
4 weeks
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