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A close look at 2019 novel coronavirus (COVID 19) infections in Turkey using time series analysis & efficiency analysis
2019 novel coronavirus (COVID 19) infections detected as the first official records of the disease in Wuhan, China, affected almost all countries worldwide, including Turkey. Due to the number of infected cases, Turkey is one of the most affected countries in the world. Thus, an examination of the p...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7836434/ https://www.ncbi.nlm.nih.gov/pubmed/33519117 http://dx.doi.org/10.1016/j.chaos.2020.110583 |
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author | Kınacı, Harun Ünsal, Mehmet Güray Kasap, Reşat |
author_facet | Kınacı, Harun Ünsal, Mehmet Güray Kasap, Reşat |
author_sort | Kınacı, Harun |
collection | PubMed |
description | 2019 novel coronavirus (COVID 19) infections detected as the first official records of the disease in Wuhan, China, affected almost all countries worldwide, including Turkey. Due to the number of infected cases, Turkey is one of the most affected countries in the world. Thus, an examination of the pandemic data of Turkey is a critical issue to understand the shape of the spread of the virus and its effects. In this study, we have a close look at the data of Turkey in terms of the variables commonly used during the pandemic to set an example for possible future pandemics. Both time series modeling and popular efficiency measurement methods are used to evaluate the data and enrich the results. It is believed that the results and discussions are useful and can contribute to the language of numbers for pandemic researchers working on the elimination of possible future pandemics. |
format | Online Article Text |
id | pubmed-7836434 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78364342021-01-26 A close look at 2019 novel coronavirus (COVID 19) infections in Turkey using time series analysis & efficiency analysis Kınacı, Harun Ünsal, Mehmet Güray Kasap, Reşat Chaos Solitons Fractals Article 2019 novel coronavirus (COVID 19) infections detected as the first official records of the disease in Wuhan, China, affected almost all countries worldwide, including Turkey. Due to the number of infected cases, Turkey is one of the most affected countries in the world. Thus, an examination of the pandemic data of Turkey is a critical issue to understand the shape of the spread of the virus and its effects. In this study, we have a close look at the data of Turkey in terms of the variables commonly used during the pandemic to set an example for possible future pandemics. Both time series modeling and popular efficiency measurement methods are used to evaluate the data and enrich the results. It is believed that the results and discussions are useful and can contribute to the language of numbers for pandemic researchers working on the elimination of possible future pandemics. Elsevier Ltd. 2021-02 2020-12-23 /pmc/articles/PMC7836434/ /pubmed/33519117 http://dx.doi.org/10.1016/j.chaos.2020.110583 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Kınacı, Harun Ünsal, Mehmet Güray Kasap, Reşat A close look at 2019 novel coronavirus (COVID 19) infections in Turkey using time series analysis & efficiency analysis |
title | A close look at 2019 novel coronavirus (COVID 19) infections in Turkey using time series analysis & efficiency analysis |
title_full | A close look at 2019 novel coronavirus (COVID 19) infections in Turkey using time series analysis & efficiency analysis |
title_fullStr | A close look at 2019 novel coronavirus (COVID 19) infections in Turkey using time series analysis & efficiency analysis |
title_full_unstemmed | A close look at 2019 novel coronavirus (COVID 19) infections in Turkey using time series analysis & efficiency analysis |
title_short | A close look at 2019 novel coronavirus (COVID 19) infections in Turkey using time series analysis & efficiency analysis |
title_sort | close look at 2019 novel coronavirus (covid 19) infections in turkey using time series analysis & efficiency analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7836434/ https://www.ncbi.nlm.nih.gov/pubmed/33519117 http://dx.doi.org/10.1016/j.chaos.2020.110583 |
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