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运用时空扫描统计和空间自相关统计来识别全球新冠病毒集群 - 一种疫苗接种策略？

Applying Spatio-temporal Scan Statistics and Spatial Autocorrelation Statistics to identify Covid-19 clusters in the world - A Vaccination Strategy?

机构信息

Department of Statistics, Federal University of Bahia (UFBA), Salvador, Brazil.

Department of Statistics, Federal University of Bahia (UFBA), Salvador, Brazil.

出版信息

Spat Spatiotemporal Epidemiol. 2021 Nov;39:100461. doi: 10.1016/j.sste.2021.100461. Epub 2021 Oct 25.

DOI:10.1016/j.sste.2021.100461
PMID:34774258
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8545727/
Abstract

With the whole world being affected by the pandemic, it is a matter of great importance that studies about spatial and spatio-temporal aspects of the COVID-19 (Sars-Cov-2) pandemic should be conducted, therefore the main goal of this paper is to present the Global Moran's I and the Local Moran's I used to evaluate spatial association in the number of deaths and infections by COVID-19, and a spatio-temporal Poisson scan statistic used to identify emerging or "alive" clusters of infections by Sars-Cov-2 in space and time. As of January 2021 vaccination against COVID-19 already started, since the use of spatial clustering methods to identify non-vaccinated populations is not new among studies on vaccination coverage strategies, this paper also aims to discuss the implementation of spatial and spatio-temporal clustering methods in early vaccination.

摘要

由于全球都受到疫情的影响，因此对 COVID-19（Sars-Cov-2）大流行的空间和时空方面进行研究非常重要。因此，本文的主要目的是展示全局 Moran's I 和局部 Moran's I，以评估 COVID-19 死亡和感染人数的空间相关性，以及时空泊松扫描统计量，以识别 Sars-Cov-2 在空间和时间上出现或“活跃”的感染簇。截至 2021 年 1 月，COVID-19 疫苗接种已经开始，由于在疫苗接种覆盖策略的研究中，使用空间聚类方法来识别未接种人群并不是什么新鲜事，因此本文还旨在讨论早期接种中的空间和时空聚类方法的实施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d86d/8545727/ae82e7f58664/gr6_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d86d/8545727/2d5b0d378a84/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d86d/8545727/b4fc9c33f876/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d86d/8545727/7e1ab95e0683/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d86d/8545727/e49db6b5fa7f/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d86d/8545727/b6e708da9ac9/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d86d/8545727/ae82e7f58664/gr6_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d86d/8545727/2d5b0d378a84/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d86d/8545727/b4fc9c33f876/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d86d/8545727/7e1ab95e0683/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d86d/8545727/e49db6b5fa7f/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d86d/8545727/b6e708da9ac9/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d86d/8545727/ae82e7f58664/gr6_lrg.jpg

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