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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...

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Detalles Bibliográficos
Autores principales: Kınacı, Harun, Ünsal, Mehmet Güray, Kasap, Reşat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
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.
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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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