Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/4156
Title: Fuzzy Modelling of Covid-19 in Turkey and Some Countries in The World
Authors: Baldemir, Harun
Akın, Agah
Akın, Ömer
5047
Keywords: Novel coronavirus (COVID-19)
Population dynamics
Fuzzy modelling
Zadeh's extention principle
Issue Date: 2020
Publisher: Matematikçiler Derneği
Source: Baldemir, H., Agah, A. K. I. N., & Ömer, A. K. I. N. Fuzzy Modelling of Covid-19 in Turkey and Some Countries in The World. Turkish Journal of Mathematics and Computer Science, 12(2), 136-150.
Abstract: Coronaviruses are a large family of viruses that are found in many different species of animals and are deadly illnesses for human. In late December 2019, China first announced the outbreak of a new coronavirus: Corona Virus Disease 2019 (or COVID-19), in which the symptoms are similar to common colds and flu. However it can sometimes be more serious, particularly for the elderly as well as patients with weak immune systems. The World Health Organization declared COVID-19 a global pandemic on March 11, 2020. As of date \changemarker{October 14}, 2020, confirmed coronavirus cases exceeded \changemarker{38} million including more than \changemarker{one million} deaths worldwide. In this paper, we use dynamical modelling approach, namely Fuzzyfied Richards Growth Model, to understand the dynamic behaviour of the COVID-19 based on the real data and to predict possible future scenarios applying fuzzy approaches for some countries around the world including China, the United States, the top five countries with the highest population in Europe and Turkey.
URI: http://hdl.handle.net/20.500.11851/4156
https://doi.org/10.47000/tjmcs.751730
ISSN: 2148-1830
Appears in Collections:Matematik Bölümü / Department of Mathematics
TR Dizin İndeksli Yayınlar / TR Dizin Indexed Publications Collection

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