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Online dashboard and data analysis approach for assessing COVID-19 case and death data
1Universidad Distrital Francisco Jose de Caldas, Bogota, Colombia.
F1000Research
|September 5, 2020
Summary
This study introduces an online dashboard for real-time coronavirus disease 2019 (COVID-19) data and a mathematical model for projecting future cases and deaths globally and nationally.
Area of Science:
- Epidemiology
- Public Health
- Data Science
Background:
- The 2019-2020 global pandemic is caused by Severe Acute Respiratory Syndrome coronavirus-2 (SARS-CoV-2), leading to widespread infections and fatalities.
- Existing data visualization tools for COVID-19 lack predictive capabilities for case and death trends.
Purpose of the Study:
- To design and develop an online dashboard for presenting current COVID-19 data.
- To create a mathematical model for projecting the future evolution of COVID-19 cases and deaths.
Main Methods:
- Development of an interactive online dashboard for real-time data.
- Implementation of a mathematical modeling approach for trend projection based on current data.
Main Results:
- The online dashboard provides up-to-date information on COVID-19 cases and deaths.
- The mathematical model offers projections for the future trajectory of the pandemic worldwide and by country.
Conclusions:
- The developed dashboard and model enhance understanding of COVID-19 trends.
- This approach aids in anticipating the pandemic's future impact and informing public health strategies.
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