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-19Start & end year
2020Known Financial Commitments (USD)
$916,344Funder
International Development Research Centre (IDRC)Principal Investigator
Sylvia MuyingoResearch Location
KenyaLead Research Institution
African Population and Health Research CentreResearch 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.
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