Spatiotemporal pattern of Covid-19 outbreak in Turkey

被引:0
|
作者
Neşe Aral
Hasan Bakır
机构
[1] Bursa Uludag University,Department of Econometrics, Faculty of Economics and Administrative Sciences
[2] Bursa Uludag University,Department of International Trade, Vocational School of Social Sciences
来源
GeoJournal | 2023年 / 88卷
关键词
Covid-19; Turkey; Spatial statistics; Spatial autocorelation; Spatiotemporal pattern;
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学科分类号
摘要
The earliest case of Covid-19 was documented in Wuhan city of China and since then the virus has been spreading throughout the globe. The aim of this study is to evaluate the clusters of Covid-19 among the provinces in Turkey and to examine whether the clustering pattern has changed after the country’s lockdown strategy. The spatial dependence of Covid-19 in 81 provinces of Turkey was examined by spatial analysis between February 8 and June 28, 2021. Global and Local Moran's I and Gi* were employed to measure the global and local spatial autocorrelation degrees. The geographical distribution of Covid-19 in the provinces of Turkey showed a strong spatial autocorrelation while the spatial structure of the clusters varied by weeks. The findings of the study show that the complete lockdown carried out in Turkey has been quite effective in mitigating Covid-19. The importance of spatial relations in preventing the spread of the disease in Turkey has also been demonstrated in this context.
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页码:1305 / 1316
页数:11
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