Computation to Fight SARS-CoV-2 (CoVid-19)

This is a reprint of articles from the Special Issue published online in the open-access journal Computation (ISSN 2079-3197) titled Computation to Fight SARS-CoV-2 (COVID-19). This reprint contains articles concerning the last pandemic health emergency, considering the period 2020–2023.

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Médium:	Online
Jazyk:	angličtina
Vydáno:	MDPI - Multidisciplinary Digital Publishing Institute 2024
Témata:	COVID-19 coronavirus protease spike protein computational inhibition air pollution Emilia-Romagna Granger-causality time series correlation predictions second wave machine learning models Emilia- Romagna Italy SARS-CoV-2 computational chemistry structure-based pharmacophore docking MM-GBSA binding energy eucalyptus compounds molecular docking molecular dynamics Twitter machine learning causal inference sentiment analysis social media chest X-ray convolutional neural network classification deep learning NLP weather least-squares finite element method susceptible-exposed-infected-quarantined-recovered-deceased (SEIQRD) daily reproduction number COVID-19 outbreak discrete epidemic growth equation discrete deconvolution COVID-19 in several countries topic modeling BigARTM latent Dirichlet analysis mass media analysis quinadoline B RNA-dependent RNA polymerase inhibitors virtual screening combinatorial screening explainable artificial intelligence mortality prediction ventilator support alpha-7 nicotinic receptor CD147 ivermectin molecular modeling main protease (Mpro) computer-aided drug design SEIR models dynamics generator unrecorded infections Richard’s curve innate immunity interferon-stimulated genes (ISGs) ISGylation phytochemicals PLpro immunomodulation bioinformatics immunoinformatic mRNA vaccine modeling traffic congestion departure delay traffic delay commuter perception chi-square test fuzzy synthetic evaluation (FSE) vaccines COVID-19 cases West Java Province k-medoids clustering algorithm shape-based lock step measures cross the correlation-based distance latent Dirichlet allocation text mining dendrogram infodemic Google Trends multivariate analysis forecasting flower pollination algorithm recurrent neural network coarse-grained modeling SARS-CoV-2 variant Omicron wave mathematical modeling vaccination scenarios simulations psychological impact social distancing knowledge n/a thema EDItEUR::M Medicine and Nursing
On-line přístup:	ONIX_20240514_9783725800483_97
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Shrnutí:	This is a reprint of articles from the Special Issue published online in the open-access journal Computation (ISSN 2079-3197) titled Computation to Fight SARS-CoV-2 (COVID-19). This reprint contains articles concerning the last pandemic health emergency, considering the period 2020–2023.

Computation to Fight SARS-CoV-2 (CoVid-19)

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