Affiliation:
1. Afyon Kocatepe University
2. AFYON KOCATEPE ÜNİVERSİTESİ
Abstract
This study, it is aimed to investigate the effect of the vaccine on the cases in the fight against Covid-19, which threatens the whole world. The number of Covid-19 cases, which were tried to be reduced with various precautions worldwide and in Turkey, has become a new hope with the start of vaccination. The increase in the effect of the vaccination, which started in January 2021, brought the need to examine the vaccination rate in three groups as slow, medium, and fast. In this study, different scenarios were tried in the number of vaccinations applied in Turkey, and the daily number of cases until December 2021 was forecasted by Artificial Neural Networks (ANN). The effect of restrictions and vaccination on the number of Covid-19 cases was investigated. Different training algorithms were used, and the best success rate was found with the comparison method. Accurate forecasting of cases will let policymakers take precautions on time. Moreover, the effect of vaccination on cases should be investigated.
Publisher
Academic Platform Journal of Engineering and Smart Systems
Reference26 articles.
1. [1] World Health Organization (WHO). “Coronavirus disease 2019 (COVID-19) Situation Report – 62” Accessed on: June 25, 2021. https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200322-sitrep-62-covid-19.pdf?sfvrsn=755c76cd_2
2. [2] NTV TV Channel. “World Health Organization declared international emergency for Corona virus” Accessed on: January. 13, 2022. https://www.ntv.com.tr/galeri/dunya/corona-virusu-icin-dunya-saglik-orgutu-uluslararasi-acil-durum-ilan-etti-sars-be,3O3Hubz-NUOgO3ymqTqtBg
3. [3] S.J. Daniel “Education and the COVID-19 pandemic”. Prospects, 2020, ch. 49(1), pp. 91–96.
4. [4] E. Cengiz, C. Yılmaz and H. Kahraman. “Classification of Human and Vehicles with The Deep Learning Based on Transfer Learning Method”. Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2021, ch. 9(3), pp. 215-225.
5. [5] M. Alazab et all, “COVID-19 prediction and detection using deep learning”. International Journal of Computer Information Systems and Industrial Management Applications, 2020, ch. 12(1), pp. 168-181.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献