Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67156, first published .
Population-Wide Depression Incidence Forecasting Comparing Autoregressive Integrated Moving Average and Vector Autoregressive Integrated Moving Average to Temporal Fusion Transformers: Longitudinal Observational Study

Population-Wide Depression Incidence Forecasting Comparing Autoregressive Integrated Moving Average and Vector Autoregressive Integrated Moving Average to Temporal Fusion Transformers: Longitudinal Observational Study

Population-Wide Depression Incidence Forecasting Comparing Autoregressive Integrated Moving Average and Vector Autoregressive Integrated Moving Average to Temporal Fusion Transformers: Longitudinal Observational Study

Deliang Yang   1 * , PhD ;   Yiyi Tang   1, 2 * , BSc ;   Vivien Kin Yi Chan   3 , PhD ;   Qiwen Fang   3 , MPH ;   Sandra Sau Man Chan   4 , MBChB ;   Hao Luo   5 , PhD ;   Ian Chi Kei Wong   3, 6, 7 , PhD ;   Huang-Tz Ou   8, 9 , PhD ;   Esther Wai Yin Chan   3, 10 , PhD ;   David Makram Bishai   11 , PhD ;   Yingyao Chen   12 , PhD ;   Martin Knapp   13 , PhD ;   Mark Jit   10, 14, 15, 16 , PhD ;   Dawn Craig   17 , PhD ;   Xue Li   1, 3, 10 , PhD

1 Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (Hong Kong)

2 Faculty of Science, University of Hong Kong, Hong Kong, China (Hong Kong)

3 Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (Hong Kong)

4 Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong)

5 School of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada

6 School of Pharmacy, Aston University, Birmingham, United Kingdom

7 Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong, China (Hong Kong)

8 Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan

9 Department of Pharmacy, College of Medicine, National Cheng Kung University, Tainan, Taiwan

10 Laboratory of Data Discovery for Health (D24H), Hong Kong, China (Hong Kong)

11 Division of Health Economics, Policy and Management, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (Hong Kong)

12 National Health Commission Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China

13 Care Policy and Evaluation Centre, London School of Economics and Political Science, London, United Kingdom

14 Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom

15 Department of Global and Environmental Health, School of Global Public Health, New York University, New York, NY, United States

16 School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China (Hong Kong)

17 Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, United Kingdom

*these authors contributed equally

Corresponding Author:

  • Xue Li, PhD
  • Department of Medicine
  • School of Clinical Medicine, Li Ka Shing Faculty of Medicine
  • The University of Hong Kong
  • Queen Mary Hospital, 102 Pok Fu Lam Road
  • Hong Kong PB306
  • China (Hong Kong)
  • Phone: 852 22553319
  • Email: sxueli@hku.hk