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Modeling the SARS-CoV-2 parallel transmission dynamics: Asymptomatic and symptomatic pathways
(
Elsevier Ltd
, 2022 , Article)
Asymptomatic transmission of the coronavirus disease and the infected individual prediction has become very important in the COVID-19 outbreak study. The asymptomatic and symptomatic transmission studies are still ongoing ...
Emerging COVID-19 variants and their impact on SARS-CoV-2 diagnosis, therapeutics and vaccines
(
Taylor and Francis
, 2022 , Article)
The emergence of novel and evolving variants of SARS-CoV-2 has fostered the need for change in the form of newer and more adaptive diagnostic methods for the detection of SARS-CoV-2 infections. On the other hand, developing ...
A review of deep learning-based detection methods for COVID-19
(
Elsevier Ltd
, 2022 , Article)
COVID-19 is a fast-spreading pandemic, and early detection is crucial for stopping the spread of infection. Lung images are used in the detection of coronavirus infection. Chest X-ray (CXR) and computed tomography (CT) ...
BEMD-3DCNN-based method for COVID-19 detection
(
Elsevier Ltd
, 2022 , Article)
The coronavirus outbreak continues to spread around the world and no one knows when it will stop. Therefore, from the first day of the identification of the virus in Wuhan, China, scientists have launched numerous research ...
Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images
(
Springer
, 2022 , Article)
Novel coronavirus disease (COVID-19) is an extremely contagious and quickly spreading coronavirus infestation. Severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS), which outbreak in 2002 ...