Willingness of CDC Staff to Participate in Continuing Education in China: A Bayesian Network Analysis
Jialin Lu, Nan Meng, Yanping Wang, Kexin Wang, Peng Wang, Yiran Gao, Min Wei, Huan Liu, Qunhong Wu · 2026
Read Willingness of CDC Staff to Participate in Continuing Education in China: A Bayesian Network Analysis by Jialin Lu, Nan Meng, Yanping Wang, Kexin Wang, Peng Wang, Yiran Gao, Min Wei, Huan Liu, Qunhong Wu (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13225026.txt.
Description
Jialin Lu and colleagues survey a 2026 study of disease-control staff across north-east China and their willingness to keep learning on the job. Continuing education sustains a public-health workforce, but motivation varies. Nearly twelve thousand valid questionnaires fed a Bayesian network model, a method that maps how many factors influence one another at once.
Nineteen factors linked significantly to willingness in first-pass analysis. The network placed four influences closest to the decision: family support for the job, sensible career-development opportunities, work fatigue, and team cohesion. When all four pointed the right way, the modelled chance of high willingness reached about ninety-four percent. Sensitivity analysis highlighted nine especially important nodes for managers to watch.
Catalog record
| CREATOR | Jialin Lu, Nan Meng, Yanping Wang, Kexin Wang, Peng Wang, Yiran Gao, Min Wei, Huan Liu, Qunhong Wu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 34 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |