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

Influenza and Influenza-Like-Illness (ILI) Surveillance (203) Infectious Diseases (non-STD/STI) (1490) Vaccination and Immunization in the Digital Age (347) Innovative Methods in Public Health and Surveillance (307) Theme Issue: Bayesian Methods In Medical Research (26)

Published on in Vol 8, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25658, first published .
A Bayesian Network to Predict the Risk of Post Influenza Vaccination Guillain-Barré Syndrome: Development and Validation Study

A Bayesian Network to Predict the Risk of Post Influenza Vaccination Guillain-Barré Syndrome: Development and Validation Study

A Bayesian Network to Predict the Risk of Post Influenza Vaccination Guillain-Barré Syndrome: Development and Validation Study

Authors of this article:

Yun Huang1, 2 Author Orcid Image ;   Chongliang Luo3, 4 Author Orcid Image ;   Ying Jiang5 Author Orcid Image ;   Jingcheng Du6 Author Orcid Image ;   Cui Tao6 Author Orcid Image ;   Yong Chen3 Author Orcid Image ;   Yuantao Hao1, 7 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

Yun Huang   1, 2 , PhD ;   Chongliang Luo   3, 4 , PhD ;   Ying Jiang   5 , PhD ;   Jingcheng Du   6 , PhD ;   Cui Tao   6 , PhD ;   Yong Chen   3 , PhD ;   Yuantao Hao   1, 7 , PhD

1 Department of Medical Statistics, Sun Yat-Sen University, Guangzhou, China

2 Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China

3 Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, United States

4 Division of Public Health Sciences, Washington University School of Medicine in St. Louis, St. Louis, MO, United States

5 Department of Neurology and Multiple Sclerosis Research Center, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China

6 School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States

7 Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China

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