What is it about?
A large-scale study was conducted to assess the attitudes and side effects among Arab populations after receiving a COVID-19 vaccine. Machine learning tools were used to predict post-vaccination side effects based on predisposing factors. Results showed a high rate of vaccine hesitancy and significant associations between predisposing factors and side effects. Certain factors were found to be important in predicting specific side effects.
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Why is it important?
Machine learning tools were used to predict post-vaccination side effects based on predisposing factors. A high rate of vaccine hesitancy (51%) was reported among participants. Certain predisposing factors, such as number of doses, gender, type of vaccine, age, and hesitancy, were found to be important in predicting post-vaccination side effects.
Perspectives
The study aimed to assess attitudes and side effects among Arab communities after receiving a COVID-19 vaccine.
Dr. Marwan Al-Raeei
Damascus University
Read the Original
This page is a summary of: Reported Adverse Effects and Attitudes among Arab Populations Following COVID-19 Vaccination: A Large-Scale Multinational Study Implementing Machine Learning Tools in Predicting Post-Vaccination Adverse Effects Based on Predisposing Factors, Vaccines, February 2022, MDPI AG,
DOI: 10.3390/vaccines10030366.
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