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Addressing Critical COVID-19 Questions Through Research Using Linked Population Data (ACCORD)

Andrew Boulle and colleagues at the Western Cape Government Health Department and the University of Cape Town in South Africa will use a data science approach applied to anonymized COVID-19 health data from the government health department including over one million tests and 60,000 hospital admissions, to study the clinical epidemiology and evolution of a new variant of SARS-CoV-2 that emerged in South Africa and the impact on patients with existing health conditions. They will conduct a case-control study to determine the clinical severity of the variant and use a cross-sectional design to explore the evolution of viral load. They will also analyze the impact of COVID-19 on pregnancy by evaluating birth weight and other birth outcomes, such as still births, and use death registries to determine mortality rates in patients with HIV, TB, and diabetes.

Grant ID
2021.0092
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Initiatives
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Funding Amount (in original currency)
99313.00
Funding Currency
USD
Funding Amount (in USD)
99313.00
Project Type
Project Primary Sector
Funding Date Range
-
Funding Total (In US dollars)
99313.00
Co-Funded
False