Erdal Ceylan, Ayşegül Koç
The association between health literacy, COVID-19 knowledge and adherence to preventive measures in Turkey
Global health promotion
2019 novel coronavirus renamed sarscov2 generally referred covid19 virus spread 184 countries 15 million confirmed cases major viral outbreak demands early elucidation taxonomic classification origin virus genomic sequence strategic planning containment treatment emerging global infectious covid19 disease novel severe acute respiratory syndrome coronavirus 2 sarscov2 presents critical threats global public health economy since identified late december 2019 china virus gone various pathways evolution due continued evolution sarscov2 pandemic researchers worldwide working mitigate suppress spread better understand deploying deep learning machine learning approaches general computational context biomedical data analysis dna sequence classification crucial challenge several machine deep learning techniques used recent years complete task success classification dna sequences key research area bioinformatics enables researchers conduct genomic analysis detect possible diseases paper three stateoftheart deep learningbased models proposed using two dna sequence conversion methods also proposed novel multitransformer deep learning model pairwise features fusion technique dna sequence classification furthermore deep features extracted last layer multitransformer used machinelearning models dna sequence classification kmer onehot encoding sequence conversion techniques presented proposed multitransformer achieved highest performance covid dna sequence classification automatic identification classification viruses essential avoid outbreak like covid19 also helps detecting effect viruses drug design