A Forecasting Study of Covid-19 Epidemic: Turkey Case

Omer Faruk Gurcan; Omer Faruk Beyca; Ugur Atici; Orhan Er

doi:10.1007/978-3-031-09176-6_31

A Forecasting Study of Covid-19 Epidemic: Turkey Case

Omer Faruk Gurcan^*, Omer Faruk Beyca, Ugur Atici, Orhan Er

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Özet

The Coronavirus (Covid-19) is an infectious disease and has spread over the 170 countries. The pandemic brings new challenges to the research community. Many measures are taken by countries and developed vaccines limit the spread of pandemic. Globally, there have been more than 490 million confirmed case of Covid-19, and 6.1 million deaths reported World Health Organization as of April 4, 2022. Disease modelling has critical policy impact on Covid-19. Forecasting is one of the key purposes of epidemic modelling. It will not only help the governments but also, the medical practitioners to know the future trajectory of the spread, which might help them with the best possible treatments, precautionary measures and protections. This study makes a forecasting of Covid-19 for Turkey. Specifically, a multi-step forecasting model is proposed. Additionally, the effect of some measures taken against Covid-19 are analyzed. The study period covers 11 March 2020 - 16 March 2022 and number of confirmed cases is selected as indicator. A summary information is given about the course of the pandemic in Turkey and the fight against Covid-19.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference, Volume 2
Editörler	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, A. Cagri Tolga, Selcuk Cebi
Yayınlayan	Springer Science and Business Media Deutschland GmbH
Sayfalar	263-271
Sayfa sayısı	9
ISBN (Basılı)	9783031091759
DOI'lar	https://doi.org/10.1007/978-3-031-09176-6_31
Yayın durumu	Yayınlandı - 2022
Etkinlik	International Conference on Intelligent and Fuzzy Systems, INFUS 2022 - Izmir, Turkey Süre: 19 Tem 2022 → 21 Tem 2022

Yayın serisi

Adı	Lecture Notes in Networks and Systems
Hacim	505 LNNS
ISSN (Basılı)	2367-3370
ISSN (Elektronik)	2367-3389

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???event.eventtypes.event.conference???	International Conference on Intelligent and Fuzzy Systems, INFUS 2022
Ülke/Bölge	Turkey
Şehir	Izmir
Periyot	19/07/22 → 21/07/22

Bibliyografik not

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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Belgeye Erişim

10.1007/978-3-031-09176-6_31

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Gurcan, O. F., Beyca, O. F., Atici, U., & Er, O. (2022). A Forecasting Study of Covid-19 Epidemic: Turkey Case. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. U. Sari, A. C. Tolga, & S. Cebi (Eds.), Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference, Volume 2 (pp. 263-271). (Lecture Notes in Networks and Systems; Hac. 505 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-09176-6_31

Gurcan, Omer Faruk ; Beyca, Omer Faruk ; Atici, Ugur et al. / A Forecasting Study of Covid-19 Epidemic : Turkey Case. Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference, Volume 2. editör / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; A. Cagri Tolga ; Selcuk Cebi. Springer Science and Business Media Deutschland GmbH, 2022. pp. 263-271 (Lecture Notes in Networks and Systems).

@inproceedings{946fab12de914b22a1e1658aa89ce776,

title = "A Forecasting Study of Covid-19 Epidemic: Turkey Case",

abstract = "The Coronavirus (Covid-19) is an infectious disease and has spread over the 170 countries. The pandemic brings new challenges to the research community. Many measures are taken by countries and developed vaccines limit the spread of pandemic. Globally, there have been more than 490 million confirmed case of Covid-19, and 6.1 million deaths reported World Health Organization as of April 4, 2022. Disease modelling has critical policy impact on Covid-19. Forecasting is one of the key purposes of epidemic modelling. It will not only help the governments but also, the medical practitioners to know the future trajectory of the spread, which might help them with the best possible treatments, precautionary measures and protections. This study makes a forecasting of Covid-19 for Turkey. Specifically, a multi-step forecasting model is proposed. Additionally, the effect of some measures taken against Covid-19 are analyzed. The study period covers 11 March 2020 - 16 March 2022 and number of confirmed cases is selected as indicator. A summary information is given about the course of the pandemic in Turkey and the fight against Covid-19.",

keywords = "Covid-19, Forecasting, Random forest regression",

author = "Gurcan, {Omer Faruk} and Beyca, {Omer Faruk} and Ugur Atici and Orhan Er",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference on Intelligent and Fuzzy Systems, INFUS 2022 ; Conference date: 19-07-2022 Through 21-07-2022",

year = "2022",

doi = "10.1007/978-3-031-09176-6_31",

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Gurcan, OF, Beyca, OF, Atici, U & Er, O 2022, A Forecasting Study of Covid-19 Epidemic: Turkey Case. in C Kahraman, S Cevik Onar, B Oztaysi, IU Sari, AC Tolga & S Cebi (eds), Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference, Volume 2. Lecture Notes in Networks and Systems, hac. 505 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 263-271, International Conference on Intelligent and Fuzzy Systems, INFUS 2022, Izmir, Turkey, 19/07/22. https://doi.org/10.1007/978-3-031-09176-6_31

A Forecasting Study of Covid-19 Epidemic: Turkey Case. / Gurcan, Omer Faruk; Beyca, Omer Faruk; Atici, Ugur et al.
Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference, Volume 2. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; A. Cagri Tolga; Selcuk Cebi. Springer Science and Business Media Deutschland GmbH, 2022. p. 263-271 (Lecture Notes in Networks and Systems; Hac. 505 LNNS).

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

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T1 - A Forecasting Study of Covid-19 Epidemic

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2022

AU - Gurcan, Omer Faruk

AU - Beyca, Omer Faruk

AU - Atici, Ugur

AU - Er, Orhan

PY - 2022

Y1 - 2022

N2 - The Coronavirus (Covid-19) is an infectious disease and has spread over the 170 countries. The pandemic brings new challenges to the research community. Many measures are taken by countries and developed vaccines limit the spread of pandemic. Globally, there have been more than 490 million confirmed case of Covid-19, and 6.1 million deaths reported World Health Organization as of April 4, 2022. Disease modelling has critical policy impact on Covid-19. Forecasting is one of the key purposes of epidemic modelling. It will not only help the governments but also, the medical practitioners to know the future trajectory of the spread, which might help them with the best possible treatments, precautionary measures and protections. This study makes a forecasting of Covid-19 for Turkey. Specifically, a multi-step forecasting model is proposed. Additionally, the effect of some measures taken against Covid-19 are analyzed. The study period covers 11 March 2020 - 16 March 2022 and number of confirmed cases is selected as indicator. A summary information is given about the course of the pandemic in Turkey and the fight against Covid-19.

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SN - 9783031091759

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Gurcan OF, Beyca OF, Atici U, Er O. A Forecasting Study of Covid-19 Epidemic: Turkey Case. In Kahraman C, Cevik Onar S, Oztaysi B, Sari IU, Tolga AC, Cebi S, editörler, Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference, Volume 2. Springer Science and Business Media Deutschland GmbH. 2022. p. 263-271. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-09176-6_31

A Forecasting Study of Covid-19 Epidemic: Turkey Case

Özet

Yayın serisi

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Bibliyografik not

BM SKH

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