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Analysing spatiotemporal patterns of Covid-19 confirmed deaths at the NUTS-2 regional level

IF 2.3 N/A GEOGRAPHY
Regional Statistics Pub Date : 2023-01-01 DOI:10.15196/rs130202
Andrea Bucci, L. Ippoliti, P. Valentini
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Abstract

During the ongoing Covid-19 pandemic, understanding the spatiotemporal patterns of the virus is crucial for policymakers to intervene promptly. The relevance of spatial proximity in the spread of the pandemic necessitates adequate tools, and noisy data must be properly treated. This study proposes obtaining clusters of European regions using smoothed curves of daily deaths from March 2020-March 2022. A functional representation of the curves w
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在nut -2区域一级分析Covid-19确认死亡的时空格局
在2019冠状病毒病大流行期间，了解病毒的时空模式对于政策制定者及时干预至关重要。空间接近与大流行病传播的相关性需要适当的工具，嘈杂的数据必须得到适当处理。本研究建议使用2020年3月至2022年3月的平滑日死亡曲线获得欧洲地区的集群。实现了曲线w
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
Regional Statistics
Regional Statistics GEOGRAPHY-
CiteScore
5.30
自引率
52.20%
发文量
28
期刊介绍： The periodical welcomes studies, research and conference reports, book reviews, discussion articles reflecting on our former articles. The periodical welcomes articles from the following areas: regional statistics, regional science, social geography, regional planning, sociology, geographical information science Goals of the journal: high-level studies in the field of regional analyses, to encourage the exchange of views and discussion among researchers in the area of regional researches.
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