LEAPS-MPS: Impact of Network Structures and Dispersal on Population Persistence in Stream Environment

  • Funded by National Science Foundation (NSF)
  • Total publications:0 publications

Grant number: 2532769

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Key facts

  • Disease

    Cholera
  • Start & end year

    2025
    2027
  • Known Financial Commitments (USD)

    $246,528
  • Funder

    National Science Foundation (NSF)
  • Principal Investigator

    Yixiang Wu
  • Research Location

    United States of America
  • Lead Research Institution

    Middle Tennessee State University
  • Research Priority Alignment

    N/A
  • Research Category

    Epidemiological studies

  • Research Subcategory

    Disease transmission dynamics

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

This project applies mathematical models to study the effects of organism movement and the structure of stream systems on the survival of species and the spread of waterborne infectious diseases. Stream habitats have a dendritic structure, and organisms in stream environment undergo both random dispersal and water-driven drift. Human activities (e.g. constructing a channel or dam) and severe weather conditions (e.g. flooding and drought) may affect the stream network structure and water flow rate. This project aims to understand how these factors may affect stream populations and waterborne disease outbreaks. The results may contribute to better usage of stream resources, protection of stream species and improved responses to waterborne disease outbreaks. This project will offer research opportunities for both undergraduate and graduate students. The investigator will use graph theory tools to describe the stream network topology and differential equation models to study population dynamics. The research tasks are as follows: (1) finding the optimal distribution of resources and optimal harvesting strategies for single species network models; (2) studying the impact of the connectivity of networks and downstream boundary conditions on the competition between two stream species; (3) investigating the properties of the basic reproduction number and the endemic equilibrium of an epidemic network model; (4) simulating a cholera outbreak. The project activities initiate with simpler stream networks with three nodes and extend to more general networks with more than three nodes. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.