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Asymptomatic Carriers are Associated with Shorter Negative Conversion Time in Children with Omicron Infections
Objective: Among the Omicron carriers, asymptomatic ones should be paid close attention to due to their silence in clinical symptoms and uncertainty...
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Understanding the Influence of Multiple Factors on the Spread of Omicron Variant Strains via the Multivariate Regression Method
The Omicron variant of SARS-CoV-2, emerging in November 2021, has rapidly spread worldwide due to its high transmissibility and ability to evade...
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Changes in Patterns of Infectivity and Mortality with SARS-CoV-2 Omicron Variant in Bulgaria
We use our previously developed models (branching processes and time series analysis) to track the changes in the spread of the new SARS-COV-2...
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Analyzing and Comparing Omicron Lineage Variants Protein–Protein Interaction Network Using Centrality Measure
The Worldwide spread of the Omicron lineage variants has now been confirmed. It is crucial to understand the process of cellular life and to discover...
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An Analytical Insight of Discussions and Sentiments of Indians on Omicron-Driven Third Wave of COVID-19
Microblogging site Twitter is one of the most crucial tool for expressing and sharing the opinions and views of everyday life events. Many...
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Forecasting Omicron Variant of Covid-19 with ANN Model in European Countries – Number of Cases, Deaths, and ICU Patients
Accurate predictions of time series are increasingly required to support judgments in a variety of decisions. Several predictive models are available...
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VADER vs. BERT: A Comparative Performance Analysis for Sentiment on Coronavirus Outbreak
Nowadays, social media is getting more attention. Opinions on a wide range of topics are constantly expressed and distributed via a variety of social...
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A cognitive effective framework for analysis, monitoring and identifying variant of coronavirus disease
Airborne diseases have contributed in an incredible way to increase worldwide morbidity and disability during the last few years. The omicron is an...
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CT imaging and lung segmentation analysis of SARS-CoV-2 variants and vaccination impacts on lung impairment quantification
This study analyzed Chest CT exams from 592 patients with SARS-CoV-2 between 2020 and 2022 using the open-source 3D Slicer software. We conducted...
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Classifications of COVID-19 Variants Using Rough Set Theory
Since January 2020, the corona epidemic has created havoc worldwide. Although this virus has been mutated many times, the recent variant is more...
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Assessment of text-generated supply chain risks considering news and social media during disruptive events
Information flow is an important task in a supply chain network. Disruptive events often impede this flow due to confounding factors, which may not...
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Forecasting COVID-19 Cases Using n-SARS-CoV-2 Variants
This work proposes a novel Deep Learning-based model to forecast the total number of confirmed COVID-19 cases in four of the worst-hit states of...
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Computational tools and databases at the forefront to study geographic and genomic distribution of SARS-CoV-2 variants
In human history, crippling viral pandemics have occurred many times and recently Coronavirus-19 (COVID-19) disease caused by novel severe acute...
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Application of Continuous Embedding of Viral Genome Sequences and Machine Learning in the Prediction of SARS-CoV-2 Variants
Since the beginning of the novel coronavirus pandemic, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has spread to 224 countries with...
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Machine-learning method for analyzing and predicting the number of hospitalizations of children during the fourth wave of the COVID-19 pandemic in the Lviv region
The purpose of this paper is to develop a machine-learning model for analyzing and predicting the number of hospitalizations of children in the Lviv...
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District-Coupled Epidemic Control via Deep Reinforcement Learning
The rapid spread of the Coronavirus (COVID-19) poses an unprecedented threat to the public health system and social economy, with approximately 500...
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Detecting Hand Hygienic Behaviors In-the-Wild Using a Microphone and Motion Sensor on a Smartwatch
In recent years, the emergence of the COVID-19 pandemic has led to new viral variants, such as Omicron. These variants are more harmful and impose...
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Analysis of Quarantine Norms and Their Healthcare Benefits for Covid-19
The corona virus, which causes COVID-19 disease, is constantly changing its genetic characteristics, and new variants of the virus are expected to...
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Social Media Analysis: The Relationship Between Private Investors and Stock Price
Understanding peoples’ opinions on social networks, such as Twitter or Reddit, has become easier with the assistance of analysis of users’ sentiments...
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Biological Sequence Analysis Using Complex Networks and Entropy Maximization: A Case Study in SARS-CoV-2
During the COVID-19 pandemic, several genetic mutations occurred in the SARS-CoV-2 virus, making more infectious or transmissible. The World Health...