This paper is in the following e-collection/theme issue:

Vaccination and Immunization in the Digital Age (378) Public (e)Health, Digital Epidemiology and Public Health Informatics (750) Influenza and Influenza-Like-Illness (ILI) Surveillance (219) Artificial Intelligence (1421) Infectious Diseases (non-STD/STI) (1592) Surveillance Systems (466) Machine Learning (1501)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56064, first published .
A Prediction Model for Identifying Seasonal Influenza Vaccination Uptake Among Children in Wuxi, China: Prospective Observational Study

A Prediction Model for Identifying Seasonal Influenza Vaccination Uptake Among Children in Wuxi, China: Prospective Observational Study

A Prediction Model for Identifying Seasonal Influenza Vaccination Uptake Among Children in Wuxi, China: Prospective Observational Study

Authors of this article:

Qiang Wang1, 2 Author Orcid Image ;   Liuqing Yang2 Author Orcid Image ;   Shixin Xiu3 Author Orcid Image ;   Yuan Shen3 Author Orcid Image ;   Hui Jin2 Author Orcid Image ;   Leesa Lin4, 5, 6 Author Orcid Image
Article Authors Cited by Tweetations (3) Metrics

Qiang Wang   1, 2 * , PhD ;   Liuqing Yang   2 * , MM ;   Shixin Xiu   3 , MM ;   Yuan Shen   3 , MM ;   Hui Jin   2 , PhD ;   Leesa Lin   4, 5, 6 , PhD

1 Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China

2 Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China

3 Department of Immunization, Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University, Wuxi Center for Disease Control and Prevention, Wuxi, China

4 Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom

5 Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Special Administrative Region, China

6 WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China

*these authors contributed equally

Corresponding Author:

  • Leesa Lin, PhD
  • Department of Infectious Disease Epidemiology
  • London School of Hygiene & Tropical Medicine
  • Keppel Street
  • London, WC1E 7HT
  • United Kingdom
  • Phone: 44 617 632 6142
  • Email: Leesa.Lin@lshtm.ac.uk