… of deep CNN and its applications for better prognosis, detection, classification, and screening
of COVID-19 … , limitations, and outlooks while using such methods for COVID-19 prognosis. …

… Coronavirus disease-19 (COVID-19… COVID-19 infection. The current review aims to evaluate
the available data on the impact of COVID-19 infection and treatment, as well as COVID-19 …

… of systems created for COVID-19 detection and classification. We … of using deep learning
algorithms to detect COVID-19, as … of various deep learning algorithms utilized in COVID-19 …

… Diabetic patients showed serious complications during the course of the COVID-19 infection,
the … post-COVID-19 treatment. Periodontal diseases in diabetic patients and COVID-19 may …

… novel coronavirus, severe acute respiratory syndrome coronavirus-… coronavirus disease
2019 (COVID-19) in February 2020, by World Health Organization [2]. The outburst of COVID-19 …

… of deep learning applications in medical image analysis targeting pulmonary imaging and
giving insights of contributions to COVID-19… , highlighting various deep learning tasks such as …

… Multiple reports recognize that numerous strategies tackle COVID-19 based on broad
similarities between COVID-19-induced acute respiratory distress syndrome (ARDS) and other …

… information on COVID-19 from recently … to coronavirus disease 2019 (COVID-19) and
discussed its epidemiology in detail. Moving on, we have discussed about novel coronavirus, SARS…

… The typical clinical symptoms of COVID-19 are fever, dry cough, and fatigue 3–7 days after
… to reexamine the existing deep learning (DL) models used for COVID-19 drug repurposing (…

… provides deep insights and reflections by a group of teachers on the redesign of three
postgraduate university courses in tourism management to a blended format during the Covid-19 …