Study on the prediction performance of AIDS monthly incidence in Xinjiang based on time series and deep learning models.

Journal: BMC public health
PMID: 40001115

Abstract

OBJECTIVE: AIDS is a highly fatal infectious disease of Class B, and Xinjiang is a high-incidence region for AIDS in China. The core of prevention and control lies in early monitoring and early warning. This study aims to identify the best model for predicting the monthly AIDS incidence in Xinjiang, providing scientific evidence for AIDS prevention and control.

Authors

  • Dandan Tang
    Medical Engineering College of Xinjiang Medical University, Urumqi, 830017, China.
  • Yuanyuan Jin
  • XuanJie Hu
    Medical Engineering College of Xinjiang Medical University, Urumqi, 830017, China.
  • Dandan Lin
    College of Public Health of Xinjiang Medical University, Urumqi, 830017, China.
  • Abiden Kapar
    College of Public Health of Xinjiang Medical University, Urumqi, 830017, China.
  • Yanjie Wang
    Zhejiang Key Laboratory of Blood-Stasis-Toxin Syndrome, Zhejiang Chinese Medical University, Hangzhou, 310000, China.
  • Fang Yang
    College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, People's Republic of China.
  • Huling Li
    Medical Engineering College of Xinjiang Medical University, Urumqi, 830017, China. lihuling@xjmu.edu.cn.

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