The antibodies produced by vaccination with the new coronavirus vaccine decrease over time, reducing the effectiveness of preventing infection, but a group at Keio University has developed a method to predict the degree of antibody decrease with high accuracy.
It says it will help you decide when to get a booster dose.
A group led by Yoshinori Kamiyo, a senior lecturer at Keio University, developed a method to predict changes in antibodies after vaccination and published it in an international vaccine journal.
The group measured and analyzed the amount of antibodies in 3 university hospital and other staff who received two doses of the Pfizer vaccine in March and April every few weeks to months, and found that the amount of antibodies elevated after vaccination decreased in a certain pattern regardless of age or gender.
Based on this, we created a model to predict how the amount of antibodies would change, and when we entered and verified the values of the antibodies that rose after vaccination at another hospital, etc., the actual measured values and the values predicted using the model matched with an accuracy of 4.2% to 673.83%.
Based on the results, the group is developing a model that predicts the amount of antibodies after booster vaccination and an app that can determine when to take additional vaccination to obtain sufficient immunity.
"If each person can check the amount of antibodies and decide when to receive additional vaccinations, it will lead to more effective infection prevention."