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Analysis of distribution characteristics of COVID-19 in America based on space-time scan statistic
Based on the epidemic data of COVID-19 in 50 states of the United States (the US) from December 2021 to January 2022, the spatial and temporal clustering characteristics of COVID-19 in the US are explored and analyzed. First, the retrospective spatiotemporal analysis is performed by using SaTScan 9....
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399760/ https://www.ncbi.nlm.nih.gov/pubmed/36033740 http://dx.doi.org/10.3389/fpubh.2022.897784 |
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author | Zhao, Yuexu Liu, Qiwei |
author_facet | Zhao, Yuexu Liu, Qiwei |
author_sort | Zhao, Yuexu |
collection | PubMed |
description | Based on the epidemic data of COVID-19 in 50 states of the United States (the US) from December 2021 to January 2022, the spatial and temporal clustering characteristics of COVID-19 in the US are explored and analyzed. First, the retrospective spatiotemporal analysis is performed by using SaTScan 9.5, and 17 incidence areas are obtained. Second, the reliability of the results is tested by the circular distribution method in the time latitude and the clustering method in the spatial latitude, and it is confirmed that the retrospective spatiotemporal analysis accurately measures in time and reasonably divides regions according to the characteristics in space. Empirical results show that the first-level clustering area of the epidemic has six states with an average relative risk of 1.28 and the second-level clustering area includes 18 states with an average relative risk of 0.86. At present, the epidemic situation in the US continues to expand. It is necessary to do constructive work in epidemic prevention, reduce the impact of epidemic, and effectively control the spread of the epidemic. |
format | Online Article Text |
id | pubmed-9399760 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93997602022-08-25 Analysis of distribution characteristics of COVID-19 in America based on space-time scan statistic Zhao, Yuexu Liu, Qiwei Front Public Health Public Health Based on the epidemic data of COVID-19 in 50 states of the United States (the US) from December 2021 to January 2022, the spatial and temporal clustering characteristics of COVID-19 in the US are explored and analyzed. First, the retrospective spatiotemporal analysis is performed by using SaTScan 9.5, and 17 incidence areas are obtained. Second, the reliability of the results is tested by the circular distribution method in the time latitude and the clustering method in the spatial latitude, and it is confirmed that the retrospective spatiotemporal analysis accurately measures in time and reasonably divides regions according to the characteristics in space. Empirical results show that the first-level clustering area of the epidemic has six states with an average relative risk of 1.28 and the second-level clustering area includes 18 states with an average relative risk of 0.86. At present, the epidemic situation in the US continues to expand. It is necessary to do constructive work in epidemic prevention, reduce the impact of epidemic, and effectively control the spread of the epidemic. Frontiers Media S.A. 2022-08-10 /pmc/articles/PMC9399760/ /pubmed/36033740 http://dx.doi.org/10.3389/fpubh.2022.897784 Text en Copyright © 2022 Zhao and Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Zhao, Yuexu Liu, Qiwei Analysis of distribution characteristics of COVID-19 in America based on space-time scan statistic |
title | Analysis of distribution characteristics of COVID-19 in America based on space-time scan statistic |
title_full | Analysis of distribution characteristics of COVID-19 in America based on space-time scan statistic |
title_fullStr | Analysis of distribution characteristics of COVID-19 in America based on space-time scan statistic |
title_full_unstemmed | Analysis of distribution characteristics of COVID-19 in America based on space-time scan statistic |
title_short | Analysis of distribution characteristics of COVID-19 in America based on space-time scan statistic |
title_sort | analysis of distribution characteristics of covid-19 in america based on space-time scan statistic |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399760/ https://www.ncbi.nlm.nih.gov/pubmed/36033740 http://dx.doi.org/10.3389/fpubh.2022.897784 |
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