Prediction of Infection and Death Ratio of COVID-19 Virus in Turkey by Using Artificial Neural Network (ANN)

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dc.contributor.authorÇolak, Andaç Batur
dc.date.accessioned2024-11-07T10:40:18Z
dc.date.available2024-11-07T10:40:18Z
dc.date.issued2021
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractBackground: For the first time in December 2019, as reported in the Wuhan city of China, COVID-19 deadly virus spread rapidly around the world and the first cases were seen in Turkey on March 11, 2020. On the same day, a pandemic was declared by the World Health Organization due to the rapid spread of the disease throughout the world. Methods: In this study, a multilayered perception feed-forward back propagation neural network has been designed for predicting the spread and mortality rate of the COVID-19 virus in Turkey. COVID-19 data from six different countries were used in the design of the artificial neural network, which has 15 neurons in its hidden layer. 70% of these optimized data were used for training, 20% for validation, and 10% for testing. Results: The simulation results showed that the COVID-19 virus in Turkey, between day 20 and 37, was the fastest to rise. The number of cases for the 20th day was predicted to be 13.845. Conclusion: As for the death rate, it was predicted that a rapid rise would start on the 20th day and a slowdown around the 43rd day and progress towards the zero case point. The death rate for the 20th day was predicted to be 170 and for the 43rd day it was 1,960s. © 2021 Bentham Science Publishers.
dc.identifier.doi10.2174/2666796701999200915142539
dc.identifier.endpage112
dc.identifier.issn2666-7967
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85111288812
dc.identifier.scopusqualityN/A
dc.identifier.startpage106
dc.identifier.urihttps://doi.org/10.2174/2666796701999200915142539
dc.identifier.urihttps://hdl.handle.net/11480/11559
dc.identifier.volume2
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherBentham Science Publishers
dc.relation.ispartofCoronaviruses
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241106
dc.subjectartificial neural network
dc.subjectCoVID-19
dc.subjectpandemic
dc.subjectSARS-CO-V-2
dc.subjectTurkey
dc.subjectviral transmission
dc.subjectWuhan
dc.titlePrediction of Infection and Death Ratio of COVID-19 Virus in Turkey by Using Artificial Neural Network (ANN)
dc.typeArticle

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