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A mixed-methods study on the design of AI and data science-based strategies to inform public health responses to COVID-19 in different local health ecosystems within Colombia

  • Funded by International Development Research Centre (IDRC)
  • Total publications:0 publications

Grant number: unknown

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Key facts

  • Disease

    COVID-19

  • Start & end year

    N/A

  • Funder

    International Development Research Centre (IDRC)

  • Research Location

    Colombia

  • Lead Research Institution

    Universidad de los Andes

  • Research Priority Alignment

    N/A

  • Research Category

    Policies for public health, disease control & community resilience

  • Research Subcategory

    Communication

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Vulnerable populations unspecified

  • Occupations of Interest

    Unspecified

Abstract

Vulnerable communities in Colombia are affected not only by the coronavirus disease, but also by disinformation about the pandemic. Universidad de los Andes will develop Al models to shed light on the risk of disease progression to vulnerable communities and its impact on other diseases. They will also address the "infodemic" by analyzing popular social networks, users who act as "super spreaders" of information and misinformation, and common reactions to policies and events of social importance.