Modeling and predicting individual variation in COVID-19 vaccine-elicited antibody response in the general population.

Modeling and predicting individual variation in COVID-19 vaccine-elicited antibody response in the general population.

As we learned during the COVID-19 pandemic, vaccines are one of the most important tools in infectious disease control. To date, an unprecedentedly large volume of high-quality data on COVID-19 vaccinations have been accumulated. For preparedness in future pandemics beyond COVID-19, these valuable d...

Full description

Saved in:
Bibliographic Details
Main Authors: Naotoshi Nakamura, Yurie Kobashi, Kwang Su Kim, Hyeongki Park, Yuta Tani, Yuzo Shimazu, Tianchen Zhao, Yoshitaka Nishikawa, Fumiya Omata, Moe Kawashima, Makoto Yoshida, Toshiki Abe, Yoshika Saito, Yuki Senoo, Saori Nonaka, Morihito Takita, Chika Yamamoto, Takeshi Kawamura, Akira Sugiyama, Aya Nakayama, Yudai Kaneko, Yong Dam Jeong, Daiki Tatematsu, Marwa Akao, Yoshitaka Sato, Shoya Iwanami, Yasuhisa Fujita, Masatoshi Wakui, Kazuyuki Aihara, Tatsuhiko Kodama, Kenji Shibuya, Shingo Iwami, Masaharu Tsubokura
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-05-01
Series:PLOS Digital Health
Online Access:https://journals.plos.org/digitalhealth/article/file?id=10.1371/journal.pdig.0000497&type=printable
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://journals.plos.org/digitalhealth/article/file?id=10.1371/journal.pdig.0000497&type=printable

Similar Items