Scopus
🔓 Açık Erişim YÖKSİS Eşleşti
Modeling Covid-19 Infection Cases and Vaccine in 5 Countries Highly Vaccinations
Turkish Journal of Mathematics and Computer Science · Aralık 2021
YÖKSİS Kayıtları
Modeling Covid-19 Infection Cases and Vaccine in 5 Countries Highly Vaccinations
Turkish Journal of Mathematics and Computer Science · 2021 TR DİZİN
DOÇENT KADİR KARAKAYA →
Modeling Covid-19 Infection Cases and Vaccine in 5 Countries Highly Vaccinations
Turkish Journal of Mathematics and Computer Science · 2021 TR DİZİN
DOKTOR ÖĞRETİM ÜYESİ AYNUR YONAR →
Modeling Covid-19 Infection Cases and Vaccine in 5 Countries Highly Vaccinations
Turkish Journal of Mathematics and Computer Science · 2021 TR DİZİN
DOKTOR ÖĞRETİM ÜYESİ HARUN YONAR →
Makale Bilgileri
DergiTurkish Journal of Mathematics and Computer Science
Yayın TarihiAralık 2021
Cilt / Sayfa13 · 403-417
Scopus ID2-s2.0-85202168613
Erişim🔓 Açık Erişim
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.
Yazarlar (7)
1
Mostafa Abotaleb
2
Tatiana Makarovskikh
ORCID: 0000-0002-3656-9632
3
Harun Yonar
4
Pradeep Mishra
5
Amr Badr
ORCID: 0000-0003-2260-2128
6
Kadir Karakaya
7
Aynur Yonar
Anahtar Kelimeler
ARIMA
BATS
Covid-19
Holt’s Linear
TBATS
Kurumlar
Jawaharlal Nehru Krishi Vishwa Vidyalaya
Jabalpur India
Selçuk Üniversitesi
Selçuklu Turkey
SelcukUniversity
Konya Turkey
South Ural State University
Chelyabinsk Russian Federation
University of New England Australia
Armidale Australia