Covid-19 Dataset: Worldwide spread log including countries first case and first death

Area of Science:

• Epidemiology
• Data Science
• Public Health

Background:

• The COVID-19 pandemic highlighted the need for robust data on infectious disease spread.
• Understanding transmission dynamics is crucial for effective pandemic response.
• Existing datasets may lack comprehensive, country-specific early-stage data.

Purpose of the Study:

• To compile and analyze a historical log of coronavirus spread.
• To provide a dataset for predicting future pandemic trajectories.
• To identify key variables influencing the speed and nature of viral transmission.

Main Methods:

• Data collection from trusted news sources and official reports.
• Consolidation of information on first cases and deaths across 186 countries.
• Inclusion of variables such as date of first case, initial case numbers, patient age, and last visited country.
• Focus on early pandemic indicators: date of first death and age of first deceased patient.

Main Results:

• A comprehensive dataset covering 186 countries from November 17, 2019, to May 16, 2020.
• Detailed information on the initial spread of COVID-19, including geographical and demographic factors.
• Identification of 8 unique variables characterizing the spread of the virus.
• Dataset facilitates analysis of spread duration and comparison with historical pandemics.

Conclusions:

• The compiled dataset is valuable for tracking and predicting infectious disease outbreaks.
• Machine learning applications can leverage this data for forecasting spread rates and mortality.
• Early prediction of pandemic spread enables timely implementation of public health interventions.