Using artificial intelligence to inform public health responses to COVID-19 in Colombia

  • Funded by International Development Research Centre (IDRC)
  • Total publications:5 publications

Grant number: 109582

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2020
    2023
  • Known Financial Commitments (USD)

    $908,250
  • Funder

    International Development Research Centre (IDRC)
  • Principal Investigator

    Catalina González-Uribe
  • Research Location

    Colombia
  • Lead Research Institution

    Universidad de los Andes
  • Research Priority Alignment

    N/A
  • Research Category

    Epidemiological studies

  • Research Subcategory

    Impact/ effectiveness of control measures

  • Special Interest Tags

    Data Management and Data SharingGender

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Vulnerable populations unspecified

  • Occupations of Interest

    Not applicable

Abstract

The COVID-19 pandemic is having devastating effects in Colombia, which has experienced over 666,000 observed cases and 21,000 deaths as of early September 2020. The COVID-19 crisis is being called a 'Äúdata-driven pandemic'Äù because massive amounts of information and data are being released and shared at an unprecedented scale. Globally, artificial intelligence (AI) and data science research is showing promise for early COVID detection, timely communications with the public, new diagnostic tools, and informed policy and public health responses that can be automated, implemented, and scaled affordably. This project is a five-pronged interdisciplinary research endeavour, based on AI methods and data science, aimed at developing, implementing, and communicating evidence for COVID-19-related challenges, responses, and recovery in Colombia. The aim is to develop long-term, real-time, gender-specific, and locally relevant mathematical models that will shed light on the possible impact, trajectories, geographical spread, and uncertainties of disease progression, in addition to risk assessment based on socio-demographic, behavioural, and medical history variables. The project will also focus on estimating the effect of COVID-19 on other diseases, particularly on disease incidence, the resurgence of other infectious diseases, changes in chronic disease frequency and severity, gender disparities, and mental health. The project also intends to analyze popular social networks to identify health-related trending interest for vulnerable groups or populations, common reactions to policies and events of social importance, and critical users that act as 'Äúsuper spreaders'Äù for information and misinformation. Finally, the research aims to design communication strategies to confront mis- and dis-information around COVID-19 that are tailored to different groups according to age, gender and regional and socioeconomic characteristics. This work will be carried out as part of the COVID-19 Global South Artificial Intelligence and Data Innovation Program, funded by IDRC and the Swedish International Development Cooperation Agency.

Publicationslinked via Europe PMC

Last Updated:43 minutes ago

View all publications at Europe PMC

Design of logistics indicators for monitoring the COVID-19 vaccination process in Colombia : Logistic indicators for vaccination process.

Prevalence of depression and anxiety in Colombia: What happened during Covid-19 pandemic?

Covid-19 vaccination: a mixed methods analysis of health system resilience in Latin America.

A mixed-methods study on the design of Artificial Intelligence and data science-based strategies to inform public health responses to COVID-19 in different local health ecosystems: A study protocol for COLEV

Pandemic preparedness means policy makers need to work with social scientists.