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Accelerating the global response against the exponentially growing COVID-19 outbreak through decent data sharing
Cooper J Galvin1, Luis Fernandez-Luque2, Yu-Chuan Jack Li3
1Biophysics program, Stanford Medical School, Stanford, CA, USA; International Center for Health Information Technology, Taipei Medical University, Taipei, Taiwan.
Diagnostic Microbiology and Infectious Disease
|June 24, 2021
Summary
The COVID-19 pandemic requires strategic decisions informed by data. Analytical and Artificial Intelligence models are crucial for navigating this global health crisis effectively.
Area of Science:
- Epidemiology
- Public Health
- Data Science
Background:
- The novel coronavirus disease 2019 (COVID-19) presents a rapidly evolving global health challenge.
- The exponential growth of the pandemic necessitates swift and informed decision-making worldwide.
Purpose of the Study:
- To highlight the critical role of data-driven insights in combating the COVID-19 pandemic.
- To emphasize the necessity of strategic decisions at multiple scales to manage the global health crisis.
Main Methods:
- Leveraging analytical and Artificial Intelligence (AI)-based predictive models.
- Utilizing rapidly developed knowledge from global data.
Main Results:
- AI and analytical models provide essential tools for understanding and predicting disease spread.
- Data-driven strategies are fundamental for effective pandemic response.
Conclusions:
- Informed strategic decisions, powered by AI and analytical models, are vital for addressing the COVID-19 pandemic.
- Global collaboration and data utilization are key to managing this unprecedented health crisis.
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