Annual global dengue dynamics are related to multi-source factors revealed by a machine learning prediction analysis.

Journal: PLoS neglected tropical diseases
Published Date:

Abstract

BACKGROUND: Dengue is a significant global health threat, transmitted by mosquitoes and influenced by multiple factors. A comprehensive analysis of the impact of these factors on dengue at a global scale is helpful for better understanding and effective control of dengue epidemics.

Authors

  • Haoyu Long
    School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, P.R. China.
  • Yilin Chen
    College of Data Science, Taiyuan University of Technology, Taiyuan, Shanxi, China.
  • Jingru Feng
    Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular-imaging, Center of AI Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.
  • Jian Chen
    School of Pharmacy, Shanghai Jiaotong University, Shanghai, China.
  • Xue Zhang
    School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
  • Wenjie Han
    Shenyang Aircraft Corporation, Shenyang 110136, China.
  • Min Kang
    Department of Computer Engineering, Gachon University, Sungnam-si 13306, Korea.
  • Xiangjun Du
    School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, P.R. China.

Keywords

No keywords available for this article.