Modelling the Impacts of Climate Change on Mosquito-Borne Diseases

  • Funded by UK Research and Innovation (UKRI)
  • Total publications:0 publications

Grant number: 2888319

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Key facts

  • Disease

    Zika virus disease, Dengue
  • Start & end year

    2023
    2027
  • Known Financial Commitments (USD)

    $0
  • Funder

    UK Research and Innovation (UKRI)
  • Principal Investigator

    N/A

  • Research Location

    N/A
  • Lead Research Institution

    N/A
  • Research Priority Alignment

    N/A
  • Research Category

    Epidemiological studies

  • Research Subcategory

    Disease surveillance & mapping

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

This project will focus on modelling the population dynamics of the highly invasive mosquito species Aedes albopictus and Aedes aegypti, and their human diseases such as Dengue, Chikungunya and Zika. The modelling approach will be to use systems of environmentally driven stage-structured delayed differential equation models (see References & Further Reading) to predict current and future disease risk at a global scale. The models will be fitted and validated against a broad range of datasets and overlaid with data on human populations, tourism and trade pathways, and disease interventions. The models will be driven by an ensemble of climate change models to predict future risk. Using interactive visualisations, model outputs will be disseminated through key stakeholder and community engagement