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Spatiotemporal pattern of Covid-19 outbreak in Turkey
The earliest case of Covid-19 was documented in Wuhan city of China and since then the virus has been spreading throughout the globe. The aim of this study is to evaluate the clusters of Covid-19 among the provinces in Turkey and to examine whether the clustering pattern has changed after the countr...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9200931/ https://www.ncbi.nlm.nih.gov/pubmed/35729953 http://dx.doi.org/10.1007/s10708-022-10666-9 |
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author | Aral, Neşe Bakır, Hasan |
author_facet | Aral, Neşe Bakır, Hasan |
author_sort | Aral, Neşe |
collection | PubMed |
description | The earliest case of Covid-19 was documented in Wuhan city of China and since then the virus has been spreading throughout the globe. The aim of this study is to evaluate the clusters of Covid-19 among the provinces in Turkey and to examine whether the clustering pattern has changed after the country’s lockdown strategy. The spatial dependence of Covid-19 in 81 provinces of Turkey was examined by spatial analysis between February 8 and June 28, 2021. Global and Local Moran's I and Gi* were employed to measure the global and local spatial autocorrelation degrees. The geographical distribution of Covid-19 in the provinces of Turkey showed a strong spatial autocorrelation while the spatial structure of the clusters varied by weeks. The findings of the study show that the complete lockdown carried out in Turkey has been quite effective in mitigating Covid-19. The importance of spatial relations in preventing the spread of the disease in Turkey has also been demonstrated in this context. |
format | Online Article Text |
id | pubmed-9200931 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-92009312022-06-17 Spatiotemporal pattern of Covid-19 outbreak in Turkey Aral, Neşe Bakır, Hasan GeoJournal Article The earliest case of Covid-19 was documented in Wuhan city of China and since then the virus has been spreading throughout the globe. The aim of this study is to evaluate the clusters of Covid-19 among the provinces in Turkey and to examine whether the clustering pattern has changed after the country’s lockdown strategy. The spatial dependence of Covid-19 in 81 provinces of Turkey was examined by spatial analysis between February 8 and June 28, 2021. Global and Local Moran's I and Gi* were employed to measure the global and local spatial autocorrelation degrees. The geographical distribution of Covid-19 in the provinces of Turkey showed a strong spatial autocorrelation while the spatial structure of the clusters varied by weeks. The findings of the study show that the complete lockdown carried out in Turkey has been quite effective in mitigating Covid-19. The importance of spatial relations in preventing the spread of the disease in Turkey has also been demonstrated in this context. Springer Netherlands 2022-06-16 2023 /pmc/articles/PMC9200931/ /pubmed/35729953 http://dx.doi.org/10.1007/s10708-022-10666-9 Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2022 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 Aral, Neşe Bakır, Hasan Spatiotemporal pattern of Covid-19 outbreak in Turkey |
title | Spatiotemporal pattern of Covid-19 outbreak in Turkey |
title_full | Spatiotemporal pattern of Covid-19 outbreak in Turkey |
title_fullStr | Spatiotemporal pattern of Covid-19 outbreak in Turkey |
title_full_unstemmed | Spatiotemporal pattern of Covid-19 outbreak in Turkey |
title_short | Spatiotemporal pattern of Covid-19 outbreak in Turkey |
title_sort | spatiotemporal pattern of covid-19 outbreak in turkey |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9200931/ https://www.ncbi.nlm.nih.gov/pubmed/35729953 http://dx.doi.org/10.1007/s10708-022-10666-9 |
work_keys_str_mv | AT aralnese spatiotemporalpatternofcovid19outbreakinturkey AT bakırhasan spatiotemporalpatternofcovid19outbreakinturkey |