Harnessing COVID-19 data to support public health and economic decision-making in Kenya and Malawi 'Äì COVID AI

  • Funded by International Development Research Centre (IDRC)
  • Total publications:10 publications

Grant number: 109622

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2020
  • Known Financial Commitments (USD)

    $916,344
  • Funder

    International Development Research Centre (IDRC)
  • Principal Investigator

    Sylvia Muyingo
  • Research Location

    Kenya
  • Lead Research Institution

    African Population and Health Research Centre
  • Research Priority Alignment

    N/A
  • Research Category

    Secondary impacts of disease, response & control measures

  • Research Subcategory

    Indirect health impacts

  • Special Interest Tags

    Data Management and Data Sharing

  • 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

The emergence of the COVID-19 global pandemic presents serious health and livelihood threats to people in low- and middle-income countries (LMICs) all over the world. There is an urgent need for accurate, real-time data for health policy and planning to combat the threats. In many countries there are methodological gaps in data integration and a lack of information and research capacity to make informed decisions to guide public health policy. The absence of data also makes it difficult to identify vulnerable populations and provide appropriate information to protect and improve people'Äôs health. Moreover, obtaining information can be especially difficult under the restrictions of pandemic lockdowns. Current innovations in AI and data science can support the collection and analysis of real-time, accurate data from multiple data sources. This project proposes to develop the key elements of a coordinated pan-African COVID-19 data ecosystem with a robust suite of data standards, technologies, and data integration methods that leverage AI and data science for analysis and oversight. It will focus on data from Kenya and Malawi because both countries adopted different strategies to combat the COVID-19 pandemic. The goal is to scale the dissemination of information to enhance decision-making and guide the development and implementation of strategies to reduce morbidity and mortality from COVID-19. The project is developing a network of stakeholders to exchange information, experiences, and knowledge that will support data acquisition, management, governance, and reporting; a data tracking system; a common data model; and a comprehensive data hub for COVID-19 data to demonstrate how COVID-19 is affecting transmission dynamics, its impact on health, education, work, transport, and effective interventions. It will also enhance the methodological capacity of data analysts and develop communication strategies for the public, policymakers, and decision-makers.

Publicationslinked via Europe PMC

Last Updated:43 minutes ago

View all publications at Europe PMC

Effects of Single and Repeated Oral Doses of Ochratoxin A on the Lipid Peroxidation and Antioxidant Defense Systems in Mouse Kidneys.

Wild Strawberry, Blackberry, and Blueberry Leaf Extracts Alleviate Starch-Induced Hyperglycemia in Prediabetic and Diabetic Mice.

Increasing diversity of swine parvoviruses and their epidemiology in African pigs.

Distinct regulation pattern of Egr-1, BDNF and Arc during morphine-withdrawal conditioned place aversion paradigm: Role of glucocorticoids.

Molecular detection of Porcine circovirus type 2 in swine herds of Eastern Cape Province South Africa.

Glucocorticoid Homeostasis in the Dentate Gyrus Is Essential for Opiate Withdrawal-Associated Memories.

Different contribution of glucocorticoids in the basolateral amygdala to the formation and expression of opiate withdrawal-associated memories.

Brown adipose tissue in obesity: Fractalkine-receptor dependent immune cell recruitment affects metabolic-related gene expression.

Angiopoietin-like 4 is a potent angiogenic factor and a novel therapeutic target for patients with proliferative diabetic retinopathy.