Socio-ecological dynamics of zoonotic and vector-borne diseases in changing landscapes: implications for surveillance and control

Grant number: 221963/Z/20/Z

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Key facts

  • Disease

    Zika virus disease, Other
  • Start & end year

    2021
    2026
  • Known Financial Commitments (USD)

    $1,636,310.9
  • Funder

    Wellcome Trust
  • Principal Investigator

    Dr. Kimberly M Fornace
  • Research Location

    United Kingdom
  • Lead Research Institution

    University of Glasgow
  • Research Priority Alignment

    N/A
  • Research Category

    Pathogen: natural history, transmission and diagnostics

  • Research Subcategory

    Environmental stability of pathogen

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

Landscape changes disrupt infectious disease dynamics, requiring new approaches to characterise risks and prevent outbreaks. Focusing on emerging (Chikungunya, Zika) and epidemic (malaria, dengue) zoonotic and vector-borne diseases in Malaysia and the Philippines, I aim to design and evaluate enhanced surveillance systems linking health and environmental data to detect and prevent pathogen spillover and transmission. By developing novel models relating social and ecological processes across spatial and temporal scales, I will bridge critical gaps linking environmental change with human behaviour and health systems. Fine-scale studies of human mobility, behaviour and infection risks will be integrated within a large-scale experiment on tropical forest modification to understand how landscape change both interacts with and alters environmental factors (e.g. seasonality, biodiversity) and socioeconomic and biological factors (e.g. demography, mobility, immunity) to determine disease dynamics. Statistical and mathematical models will be used to explore factors across ecological settings, integrating routine surveillance data, population-based serological surveys and multitemporal Earth Observation data to reconstruct historical disease transmission over major environmental shifts. Predictive models will be designed to identify how future land use can reduce disease risks and how control programmes can use environmental data from new sources of real-time Earth Observation data to improve disease surveillance.

Publicationslinked via Europe PMC

Serological analysis in humans in Malaysian Borneo suggests prior exposure to H5 avian influenza near migratory shorebird habitats.

Mitigating risks of malaria and other vector-borne diseases in the new capital city of Indonesia.

Serological analysis in humans in Malaysian Borneo suggests prior exposure to H5 avian influenza

Using image segmentation models to analyse high-resolution earth observation data: new tools to monitor disease risks in changing environments.

The incidence, and spatial trends of cholera in Sabah over 15 years: Repeated outbreaks in coastal areas.

Landscape drives zoonotic malaria prevalence in non-human primates.

Image Segmentation Models as a New Tool to Monitor Disease Risks in Changing Environments

Serological evaluation of risk factors for exposure to malaria in a pre-elimination setting in Malaysian Borneo.

Zoonotic malaria requires new policy approaches to malaria elimination.