AIMC Topic: Vaccination
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Twitter sentiment analysis from Iran about COVID 19 vaccine.
Diabetes & metabolic syndrome
Dec 13, 2021
BACKGROUND AND AIMS: The development of vaccines against COVID-19 has been a global purpose since the World Health Organization declared the pandemic. People usually use social media, especially Twitter, to transfer knowledge and beliefs on global co...
Deep Learning-Based Sentiment Analysis of COVID-19 Vaccination Responses from Twitter Data.
Computational and mathematical methods in medicine
Dec 2, 2021
The COVID-19 pandemic has had a devastating effect on many people, creating severe anxiety, fear, and complicated feelings or emotions. After the initiation of vaccinations against coronavirus, people's feelings have become more diverse and complex. ...
Machine Learning-Based Single Cell and Integrative Analysis Reveals That Baseline mDC Predisposition Correlates With Hepatitis B Vaccine Antibody Response.
Frontiers in immunology
Oct 29, 2021
Vaccination to prevent infectious disease is one of the most successful public health interventions ever developed. And yet, variability in individual vaccine effectiveness suggests that a better mechanistic understanding of vaccine-induced immune re...
Host-Pathogen Interactions
Canonical Correlation Analysis
Vaccine Efficacy
Hepatitis B Vaccines
Hepatitis B Antibodies
High-Throughput Nucleotide Sequencing
Machine Learning
Female
Aged
Dendritic Cells
Adult
Male
Humans
Hepatitis B
Middle Aged
Single-Cell Analysis
Gene Expression Profiling
Vaccination
An Agent-based Decision Support for a Vaccination Campaign.
Journal of medical systems
Sep 28, 2021
We explore the Covid-19 diffusion with an agent-based model of an Italian region with a population on a scale of 1:1000. We also simulate different vaccination strategies. From a decision support system perspective, we investigate the adoption of art...
Machine Learning Approach for Active Vaccine Safety Monitoring.
Journal of Korean medical science
Aug 9, 2021
BACKGROUND: Vaccine safety surveillance is important because it is related to vaccine hesitancy, which affects vaccination rate. To increase confidence in vaccination, the active monitoring of vaccine adverse events is important. For effective active...
Optimizing COVID-19 vaccine distribution across the United States using deterministic and stochastic recurrent neural networks.
PloS one
Jul 6, 2021
Optimizing COVID-19 vaccine distribution can help plan around the limited production and distribution of vaccination, particularly in early stages. One of the main criteria for equitable vaccine distribution is predicting the geographic distribution ...
Indian citizen's perspective about side effects of COVID-19 vaccine - A machine learning study.
Diabetes & metabolic syndrome
Jun 10, 2021
BACKGROUND AND AIMS: Ever since the vaccination drive for COVID-19 has started in India, the citizens have been sharing their views on social media about it. The present study examines the attitude of Indian citizens towards the side effects of the C...
Tracking COVID-19 vaccine hesitancy and logistical challenges: A machine learning approach.
PloS one
Jun 2, 2021
Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis.
Journal of medical Internet research
May 19, 2021
BACKGROUND: COVID-19 is one of the greatest threats to human beings in terms of health care, economy, and society in recent history. Up to this moment, there have been no signs of remission, and there is no proven effective cure. Vaccination is the p...
Artificial Intelligence-Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study.
Journal of medical Internet research
Apr 5, 2021
BACKGROUND: Global efforts toward the development and deployment of a vaccine for COVID-19 are rapidly advancing. To achieve herd immunity, widespread administration of vaccines is required, which necessitates significant cooperation from the general...
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