印度尼西亚西加里曼丹省SARS-CoV-2 (COVID-19)的传播和区域连通性

IF 1.1 Q3 GEOGRAPHY
S. Muazir, Lestari, M. Alhamdani, M. Nurhamsyah
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引用次数: 0

摘要

2019年底,一种疾病被确定为严重急性呼吸系统综合征冠状病毒2或COVID-19。预计的传播方式为直接或间接接触、飞沫和气溶胶。感染的传播也可由区域之间的相互作用和靠近中心传播区引起。本文利用网络分析阐述了西加里曼丹地区之间与COVID-19传播相关的连通性,并将其与COVID-19传播相关的数据进行叠加。从调查结果来看,库布拉亚和蓬蒂纳克的COVID-19病例数量很多,尤其是确诊病例。考虑到它们的中心性和块状测量,Kubu Raya是得分最高的地区(度:60.3;亲密关系:71.4;中间状态:75.6;特征向量:82.4),接近首都Pontianak市。从区域互联互通的角度来看,这两个地区都是主要的“门户”和“枢纽”。此外,每个地区在城市等级中的作用、居民数量及其彼此之间的接近程度也往往会影响COVID-19的传播。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The spread of SARS-CoV-2 (COVID-19) and the regional connectivity in West Kalimantan Province, Indonesia
At the end of 2019, a disease was identified as Severe Acute Respiratory Syndrome Coronavirus 2 or COVID-19. The expected modes of transmission are direct or indirect contact, droplets, and aerosol. The spread of an infection can be also caused by interaction between regions and the proximity to a central transmission area. This article elucidates the connectivity between regions in West Kalimantan in relation to the spread of COVID-19 using network analysis, which shall be superimposed with the data pertaining to the spread of COVID-19. From the findings, Kubu Raya and Pontianak have a high number of COVID-19 cases, especially confirmed ones. Considering their centrality and block measurements, Kubu Raya is featured as region with the highest score (degree: 60.3; closeness: 71.4; betweenness: 75.6; and eigenvector: 82.4), close to Pontianak city as the capital city. When regarded from the context of regional connectivity, both areas serve as the main ‘gateways’ and ‘hubs’. Additionally, the role of each region in urban hierarchy, the number of residents and their proximity to one another also tend to affect the spread of COVID-19.
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来源期刊
Geographia Polonica
Geographia Polonica GEOGRAPHY-
CiteScore
2.40
自引率
0.00%
发文量
9
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