Scopus Eşleşmesi Bulundu
13
Cilt
403-417
Sayfa
🔓
Açık Erişim
Scopus Yazarları: Tatiana Makarovskikh, Pradeep Mishra, Kadir Karakaya, Mostafa Abotaleb, Harun Yonar, Amr Badr, Aynur Yonar
Özet
COVID-19 has become the most important and crucial agenda in the world in the last year. COVID-19 has taken many lives around the world and millions of people have been infected. To get rid of this depression caused by COVID-19, many countries have started big campaigns for vaccine production. In this study, data on infection cases and vaccinations conducted in England, Germany, Israel, Russia, and the USA were analyzed from January 3, 2020, to March 3, 2021. We used univariate time series models, where the results are very accurate, rather than epmdicolgical models. In this article we used BATS, TBATS, Holt’s linear trend, and ARIMA models to recognize the pattern of spread of covid 19 infection cases. The best models are specified for all countries that have the least error according to MAPE. Findings obtained in this study have been reported extensively in England, Germany, Israel, Russia, and the USA with tables and figures. Using the results and forecasts obtained in this study, England, Germany, Israel, Russia, and the USA can take COVID-19 measures for the future.
Anahtar Kelimeler (Scopus)
ARIMA
Covid-19
TBATS
BATS
Holt’s Linear
Scimago Dergi Bilgisi
Otomatik ISSN Eşleştirmesi
2021 yılı verileri
Turkish Journal of Mathematics and Computer Science
-
SJR Quartile
5
H-Index
Kategoriler: Computer Science (miscellaneous) · Mathematics (miscellaneous)
Alanlar: Computer Science · Mathematics
Ülke: Turkey
· Association of Mathematicians (MATDER)
Bu bilgiler makale yılına göre Scimago veritabanından ISSN eşleştirmesiyle otomatik getirilmektedir.
Dergi sıralama verileri Scimago'nun ilgili yılı baz alınmaktadır.
Anahtar Kelimeler
ARIMA
Covid-19
TBATS
BATS
Holt’s Linear
Makale Bilgileri
Dergi
Turkish Journal of Mathematics and Computer Science
ISSN
2148-1830
Yıl
2021
/ 12. ay
Cilt / Sayı
13
/ 2
Sayfalar
403 – 417
Makale Türü
Özgün Makale
Hakemlik
Hakemli
Endeks
TR DİZİN
Yayın Dili
İngilizce
Kapsam
Ulusal
Toplam Yazar
7 kişi
Erişim Türü
Elektronik
Erişim Linki
Makaleye Git
Alan
Sağlık Bilimleri Temel Alanı
Biyoistatistik
YÖKSİS Yazar Kaydı
Yazar Adı
Abotaleb Mostafa, Makarovskikh Tatiana, YONAR HARUN, Mishra Pradeep, Badr Amr, KARAKAYA KADİR, YONAR AYNUR
YÖKSİS ID
6097710
Hızlı Erişim
Metrikler
Yazar Sayısı
7