Global Dynamics of Mosquito-Borne Disease Transmission Revealed by Hong Kong Researchers

Strategic Insights -

Research published by Hong Kong Polytechnic University has unveiled new insights into the transmission dynamics of mosquito-borne diseases. By developing a partially degenerate nonlocal dispersal Ross-Macdonald model, investigators investigate the impact of spatial heterogeneity and host dispersal on disease transmission. This study, supported by the Hong Kong Research Grants Council, reveals the critical role of host mobility and environmental heterogeneity in vector populations.

Key Takeaways:

  • The study proposes a partially degenerate nonlocal dispersal Ross-Macdonald model to investigate the impact of spatial heterogeneity and host dispersal on disease transmission dynamics.
  • The basic reproduction number is identified as a critical threshold that determines the global dynamics of the model, while analytical challenges of noncompact solution maps are addressed using comparison arguments for Lebesgue measurable and bounded functions.
  • Numerical simulations reveal how host mobility and spatially varying environment modulate disease persistence and transmission risks, highlighting the potential for local dispersal to underestimate transmission risks and epidemic size.
  • The research team, consisting of Yijun Lou, Mengjie Han, and Zhenguo Bai, have made significant contributions to the field of mosquito-borne disease transmission dynamics.

Statistics:

  • 155(2) is the issue number of the Studies in Applied Mathematics journal where this research was published.
  • The Hong Kong Research Grants Council provided financial support for this research.
  • Hong Kong Polytechnic University's Department of Applied Mathematics was involved in this study.
  • The research team used a partially degenerate nonlocal dispersal Ross-Macdonald model to investigate disease transmission dynamics.

Sources:

  • Studies in Applied Mathematics, 2025;155(2)
  • Hong Kong Research Grants Council
  • Hong Kong Polytechnic University, Dept. of Applied Mathematics