Identifying the Cycles in Covid-19 Infection: the Case of Turkey

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Date

2023

Journal Title

Journal ISSN

Volume Title

Publisher

Taylor & Francis Ltd

Open Access Color

BRONZE

Green Open Access

No

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Publicly Funded

No
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Top 10%
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Average
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Top 10%

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Abstract

The new coronavirus disease, called COVID-19, has spread extremely quickly to more than 200 countries since its detection in December 2019 in China. COVID-19 marks the return of a very old and familiar enemy. Throughout human history, disasters such as earthquakes, volcanic eruptions and even wars have not caused more human losses than lethal diseases, which are caused by viruses, bacteria and parasites. The first COVID-19 case was detected in Turkey on 12 March 2020 and researchers have since then attempted to examine periodicity in the number of daily new cases. One of the most curious questions in the pandemic process that affects the whole world is whether there will be a second wave. Such questions can be answered by examining any periodicities in the series of daily cases. Periodic series are frequently seen in many disciplines. An important method based on harmonic regression is the focus of the study. The main aim of this study is to identify the hidden periodic structure of the daily infected cases. Infected case of Turkey is analyzed by using periodogram-based methodology. Our results revealed that there are 4, 5 and 62 days cycles in the daily new cases of Turkey.

Description

Ünlü, Kamil Demirberk/0000-0002-2393-6691; Karamanoğlu, Yunus Emre/0000-0001-9711-6867

Keywords

Corona virus, Covid-19, periodicity, harmonic regression, Turkey

Fields of Science

0101 mathematics, 01 natural sciences, 0105 earth and related environmental sciences

Citation

WoS Q

Q3

Scopus Q

Q2
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OpenCitations Citation Count
7

Source

Journal of Applied Statistics

Volume

50

Issue

11-12

Start Page

2360

End Page

2372

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Citations

CrossRef : 5

Scopus : 7

PubMed : 6

Captures

Mendeley Readers : 8

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1.3678

Sustainable Development Goals

3

GOOD HEALTH AND WELL-BEING
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11

SUSTAINABLE CITIES AND COMMUNITIES
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