A two-stage unified Bayesian framework for adolescent physical fitness surveillance in Sichuan, China: Latent factor measurement followed by spatiotemporal modeling

• Honglei Wei,

  Roles Formal analysis, Methodology, Resources, Writing – original draft, Writing – review & editing

  Affiliations School of Mathematics, Southwest Jiaotong University, Chengdu, Sichuan, China, Sichuan Province Big Data Research and Joint Application Technology Center of Student Health, Chengdu, Sichuan, China

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• Haoran Li,

  Roles Data curation, Validation, Writing – review & editing

  Affiliations School of Mathematics, Southwest Jiaotong University, Chengdu, Sichuan, China, Sichuan Province Big Data Research and Joint Application Technology Center of Student Health, Chengdu, Sichuan, China

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• Maowu Pu,

  Roles Software, Validation, Writing – review & editing

  Affiliations School of Mathematics, Southwest Jiaotong University, Chengdu, Sichuan, China, Sichuan Province Big Data Research and Joint Application Technology Center of Student Health, Chengdu, Sichuan, China

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• Zhou He ,

  Roles Methodology, Software, Writing – review & editing

  * E-mail: zhou.he@swjtu.edu.cn

  Affiliations School of Mathematics, Southwest Jiaotong University, Chengdu, Sichuan, China, Sichuan Province Big Data Research and Joint Application Technology Center of Student Health, Chengdu, Sichuan, China

  https://orcid.org/0009-0003-5596-3445

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• Yiru Wang

  Roles Data curation, Investigation, Writing – review & editing

  Affiliations Sichuan Province Big Data Research and Joint Application Technology Center of Student Health, Chengdu, Sichuan, China, College of International Education, Chengdu University of Technology (Oxford Brookes College), Chengdu, Sichuan, China

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