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Online dashboard and data analysis approach for assessing COVID-19 case and death data

Hector Florez1, Sweta Singh2

  • 1Universidad Distrital Francisco Jose de Caldas, Bogota, Colombia.

F1000Research
|September 5, 2020
PubMed

Insights

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.

Keywords:
COVID-19Data analysisMathematical modelSARS-CoV-2

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