Development and validation of a COVID-19 vaccination prediction model based on self-reporting results in Chinese older adults from September 2022 to November 2022: A nationwide cross-sectional study

• Published in: Human vaccines & immunotherapeutics Vol. 20; no. 1; p. 2382502
• Main Authors: Liu, Dong, Zhang, Yushi, Liang, Rui, Lei, Jieping, Huang, Ke, Hu, Yaoda, Fang, Liwen, Feng, Luzhao, Shan, Guangliang, Wang, Min, Ding, Yuanyuan, Gao, Qian, Yang, Ting
• Format: Journal Article
• Language: English
• Published: United States Taylor & Francis Group 31.12.2024
• Subjects: Aged; Aged, 80 and over; China; COVID-19 - prevention & control; COVID-19 vaccine; COVID-19 Vaccines - administration & dosage; Cross-Sectional Studies; cross-sectional study; East Asian People; Female; Humans; Logistic Models; Male; Middle Aged; prediction model; ROC Curve; SARS-CoV-2 - immunology; Self Report; Vaccination - statistics & numerical data; vaccine hesitancy; China; vaccine hesitancy; COVID-19 vaccine; cross-sectional study; prediction model

It was common to see that older adults were reluctant to be vaccinated for coronavirus disease 2019 (COVID-19) in China. There is a lack of practical prediction models to guide COVID-19 vaccination program. A nationwide, self-reported, cross-sectional survey was conducted from September 2022 to Nove...