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Spatio-temporal analysis of the COVID-19 pandemic in Türkiye: results of the controlled normalization
This study investigates the spatio-temporal structure of the pandemic in Türkiye during the normalization process. An analysis has been conducted based on spatial and space–time scan statistics of the province-based numbers of confirmed COVID-19 cases during the normalization process from February 2...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440331/ http://dx.doi.org/10.1007/s41324-022-00476-z |
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author | İçöz, Cenk Yenilmez, İsmail |
author_facet | İçöz, Cenk Yenilmez, İsmail |
author_sort | İçöz, Cenk |
collection | PubMed |
description | This study investigates the spatio-temporal structure of the pandemic in Türkiye during the normalization process. An analysis has been conducted based on spatial and space–time scan statistics of the province-based numbers of confirmed COVID-19 cases during the normalization process from February 27 to May 7, 2021. The clusters affected by regional application differences has determined. The increase in cases has been observed, and the risk classes that supported the spatial relationship have been determined. Positive spatial relationships have been observed. Moran I measurements have also directly overlapped with the developments in the timeline of the COVID-19 pandemic in Türkiye. Local Moran I analysis has shown the transition of clusters from different regions to others over time. According to the results, controlled normalization has not happened as expected and the increase in the number of cases eventually led to the start of a total lockdown. Spatial and spatio-temporal analysis may show how to respond to a potential new pandemic. Regulations that vary from region to region can be meaningless depending on the spatial interaction. Decision makers may benefit in the future from these analyses, which reveal the results of experience to control current worsening scenarios. |
format | Online Article Text |
id | pubmed-9440331 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Nature Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-94403312022-09-06 Spatio-temporal analysis of the COVID-19 pandemic in Türkiye: results of the controlled normalization İçöz, Cenk Yenilmez, İsmail Spat. Inf. Res. Article This study investigates the spatio-temporal structure of the pandemic in Türkiye during the normalization process. An analysis has been conducted based on spatial and space–time scan statistics of the province-based numbers of confirmed COVID-19 cases during the normalization process from February 27 to May 7, 2021. The clusters affected by regional application differences has determined. The increase in cases has been observed, and the risk classes that supported the spatial relationship have been determined. Positive spatial relationships have been observed. Moran I measurements have also directly overlapped with the developments in the timeline of the COVID-19 pandemic in Türkiye. Local Moran I analysis has shown the transition of clusters from different regions to others over time. According to the results, controlled normalization has not happened as expected and the increase in the number of cases eventually led to the start of a total lockdown. Spatial and spatio-temporal analysis may show how to respond to a potential new pandemic. Regulations that vary from region to region can be meaningless depending on the spatial interaction. Decision makers may benefit in the future from these analyses, which reveal the results of experience to control current worsening scenarios. Springer Nature Singapore 2022-09-03 2023 /pmc/articles/PMC9440331/ http://dx.doi.org/10.1007/s41324-022-00476-z Text en © The Author(s), under exclusive licence to Korean Spatial Information Society 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article İçöz, Cenk Yenilmez, İsmail Spatio-temporal analysis of the COVID-19 pandemic in Türkiye: results of the controlled normalization |
title | Spatio-temporal analysis of the COVID-19 pandemic in Türkiye: results of the controlled normalization |
title_full | Spatio-temporal analysis of the COVID-19 pandemic in Türkiye: results of the controlled normalization |
title_fullStr | Spatio-temporal analysis of the COVID-19 pandemic in Türkiye: results of the controlled normalization |
title_full_unstemmed | Spatio-temporal analysis of the COVID-19 pandemic in Türkiye: results of the controlled normalization |
title_short | Spatio-temporal analysis of the COVID-19 pandemic in Türkiye: results of the controlled normalization |
title_sort | spatio-temporal analysis of the covid-19 pandemic in türkiye: results of the controlled normalization |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440331/ http://dx.doi.org/10.1007/s41324-022-00476-z |
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