Complex Adaptive Modelling Climate Change Health Impacts in Malawi

Grant number: 216080/Z/19/Z

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Key facts

  • Disease

    N/A

  • Start & end year

    2020
    2024
  • Known Financial Commitments (USD)

    $508,569.1
  • Funder

    Wellcome Trust
  • Principal Investigator

    Dr. James J Orbinski
  • Research Location

    Canada
  • Lead Research Institution

    York University (Canada)
  • Research Priority Alignment

    N/A
  • Research Category

    Secondary impacts of disease, response & control measures

  • Research Subcategory

    Indirect health impacts

  • 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

Malawi is among the most climate change affected countries in the world, and its Chilwa Basin among the most severely affected regions in the country. Extreme weather events including floods and drought are coupled with human- induced deforestation. These are causally associated with population displacement, disruption in health services, increases in specific infectious diseases and in acute and chronic undernutrition. Working in consultation with identified operational partners, we will apply Complex Adaptive Systems Theory to develop a computer-based simulation of the following five subsystems and their interactions in the Chilwa Basin: 1) ecological services, 2) extreme weather, 3) infectious diseases, 4) food security, and 5) clinical public health & disaster risk management. Our target heath impacts are (A) infectious diseases: malaria, cholera, schistosomiasis, acute diarrheal disease; (B) food security outcomes: protein energy malnutrition, growth stunting in children, and (C) potable water, sanitation and hygiene. In cooperation with operational partners, we will (a) select or design appropriate indicators, (b) design, iterate and refine the accuracy of the model, (b) create a monitoring and evaluation dashboard, and (c) develop a scenario planning toolbox for selecting, monitoring and evaluating clinical and population health treatment, prevention and ecological adaptation interventions.