AIMC Topic: COVID-19 Vaccines
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Aspect Based Twitter Sentiment Analysis on Vaccination and Vaccine Types in COVID-19 Pandemic With Deep Learning.
IEEE journal of biomedical and health informatics
May 5, 2022
Due to the COVID-19 pandemic, vaccine development and community vaccination studies are carried out all over the world. At this stage, the opposition to the vaccine seen in the society or the lack of trust in the developed vaccine is an important fac...
Evaluation of the humoral response induced by BBIBP-CorV vaccine by determining neutralizing antibodies in peruvian healthcare personnel.
Revista peruana de medicina experimental y salud publica
Apr 1, 2022
OBJECTIVE.: To determine the titer of antibodies against the receptor binding domain (RBD) of the spike protein (S) in health personnel between the 4th and 12th week after receiving the BBIBP-CorV vaccine (Sinopharm).
Analyzing the Effect of Vaccination Over COVID Cases and Deaths in Asian Countries Using Machine Learning Models.
Frontiers in cellular and infection microbiology
Feb 8, 2022
Coronavirus Disease 2019 (COVID-19) is spreading across the world, and vaccinations are running parallel. Coronavirus has mutated into a triple-mutated virus, rendering it deadlier than before. It spreads quickly from person to person by contact and ...
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. ...
Leveraging artificial intelligence to assist the ethical and science-based distribution of COVID-19 vaccines.
Journal of global health
Nov 30, 2021
Mild Adverse Events of Sputnik V Vaccine in Russia: Social Media Content Analysis of Telegram via Deep Learning.
Journal of medical Internet research
Nov 29, 2021
BACKGROUND: There is a limited amount of data on the safety profile of the COVID-19 vector vaccine Gam-COVID-Vac (Sputnik V). Previous infodemiology studies showed that social media discourse could be analyzed to assess the most concerning adverse ev...
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...
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