Universitat Rovira i Virgili, Departament d'Economia (ECO-SOS), 43204, Reus, Catalonia, Spain.
J Public Health (Oxf). 2021 Apr 12;43(1):98-106. doi: 10.1093/pubmed/fdaa140.
This paper is about spatial patterns of by corona virus disease-2019 (COVID-19).
Using data for the first 21 weeks from municipalities in Catalonia, we analyse whether reported positive cases appear randomly or following some kind of spatial dependence. Global and local measures of spatial autocorrelation are used.
There are some clusters alongside Catalan municipalities that change over time.
Use of spatial analysis techniques is suggested to identify spatial disease patterns and to provide spatially disaggregated public health policy recommendations.
本文研究了 2019 年冠状病毒病（COVID-19）的空间模式。
利用加泰罗尼亚各自治区前 21 周的数据，我们分析报告的阳性病例是否随机出现，或者是否存在某种空间相关性。使用全局和局部空间自相关度量。
在加泰罗尼亚自治区中，存在一些随时间变化的集群。
建议使用空间分析技术来识别空间疾病模式，并提供空间分解的公共卫生政策建议。
