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An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation
Infectious disease modelling can serve as a powerful tool for situational awareness and
decision support for policy makers. However, COVID-19 modelling efforts faced many …
decision support for policy makers. However, COVID-19 modelling efforts faced many …
[HTML][HTML] Pandemic strategies with computational and structural biology against COVID-19: a retrospective
CH Liu, CH Lu, LT Lin - Computational and Structural Biotechnology …, 2022 - Elsevier
The emergence of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2),
which is the etiologic agent of the coronavirus disease 2019 (COVID-19) pandemic, has …
which is the etiologic agent of the coronavirus disease 2019 (COVID-19) pandemic, has …
Forecasting the spread of COVID-19 using deep learning and Big Data Analytics methods
C Kiganda, MA Akcayol - SN computer science, 2023 - Springer
To contain the spread of the COVID-19 pandemic, there is a need for cutting-edge
approaches that make use of existing technology capabilities. Forecasting its spread in a …
approaches that make use of existing technology capabilities. Forecasting its spread in a …
Conventional dendritic cell 2 links the genetic causal association from allergic asthma to COVID-19: a Mendelian randomization and transcriptomic study
H Liu, S Huang, L Yang, H Zhou, B Chen, L Wu… - Journal of Big Data, 2024 - Springer
Recent evidence suggests that allergic asthma (AA) decreases the risk of Coronavirus
Disease 2019 (COVID-19). However, the reasons remain unclear. Here, we systematically …
Disease 2019 (COVID-19). However, the reasons remain unclear. Here, we systematically …
Suburban road networks to explore COVID-19 vulnerability and severity
The Delta variant of COVID-19 has been found to be extremely difficult to contain worldwide.
The complex dynamics of human mobility and the variable intensity of local outbreaks make …
The complex dynamics of human mobility and the variable intensity of local outbreaks make …
Covid-19 classification using deep learning two-stage approach
In this paper, deep-learning-based approaches namely fine-tuning of pretrained
convolutional neural networks (VGG16 and VGG19), and end-to-end training of a developed …
convolutional neural networks (VGG16 and VGG19), and end-to-end training of a developed …
[HTML][HTML] Deep neural network for monitoring the growth of COVID-19 epidemic using meteorological covariates
Growth of an epidemic is influenced by the natural variation in climatic conditions and
enforcement variation in government stringency policies. Though these variations do not …
enforcement variation in government stringency policies. Though these variations do not …
Novel cost-effective method for forecasting COVID-19 and hospital occupancy using deep learning
The emergence of the COVID-19 pandemic in 2019 and its rapid global spread put
healthcare systems around the world to the test. This crisis created an unprecedented level …
healthcare systems around the world to the test. This crisis created an unprecedented level …
A Boosted Evolutionary Neural Architecture Search for Time Series Forecasting with Application to South African COVID-19 Cases.
In recent years, there has been an increase in studies on time-series forecasting for the
future occurrence of disease incidents. Improvements in deep learning approaches offer …
future occurrence of disease incidents. Improvements in deep learning approaches offer …
GA-Stacking: A New Stacking-Based Ensemble Learning Method to Forecast the COVID-19 Outbreak.
As a result of the increased number of COVID-19 cases, Ensemble Machine Learning (EML)
would be an effective tool for combatting this pandemic outbreak. An ensemble of classifiers …
would be an effective tool for combatting this pandemic outbreak. An ensemble of classifiers …