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.

Guardat en:
Dades bibliogràfiques
Format: Online
Idioma:anglès
Publicat: MDPI - Multidisciplinary Digital Publishing Institute 2024
Matèries:
NLP
n/a
Accés en línia:ONIX_20240514_9783725800483_97
Etiquetes: Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
_version_ 1869514591652806656
collection Directory of Open Access Books
description 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.
format Online
id doab-20.500.12854ir-137495
institution Directory of Open Access Books
language eng
publishDate 2024
publishDateRange 2024
publishDateSort 2024
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
record_format ojs
spelling doab-20.500.12854ir-1374952024-05-14T13:18:11Z Computation to Fight SARS-CoV-2 (CoVid-19) Brogi, Simone Calderone, Vincenzo 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 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. 2024-05-14T13:18:07Z 2024-05-14T13:18:07Z 2024 book ONIX_20240514_9783725800483_97 9783725800483 9783725800476 https://directory.doabooks.org/handle/20.500.12854/137495 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/8653 https://mdpi.com/books/pdfview/book/8653 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-0047-6 10.3390/books978-3-7258-0047-6 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725800483 9783725800476 544 open access
spellingShingle 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
Computation to Fight SARS-CoV-2 (CoVid-19)
title Computation to Fight SARS-CoV-2 (CoVid-19)
title_full Computation to Fight SARS-CoV-2 (CoVid-19)
title_fullStr Computation to Fight SARS-CoV-2 (CoVid-19)
title_full_unstemmed Computation to Fight SARS-CoV-2 (CoVid-19)
title_short Computation to Fight SARS-CoV-2 (CoVid-19)
title_sort computation to fight sars cov 2 covid 19
topic 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
topic_facet 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
url ONIX_20240514_9783725800483_97