Opendatabay APP

International Coronavirus Case Log

Patient Health Records & Digital Health

Tags and Keywords

Covid

Health

Global

Cases

Deaths

Trusted By
Trusted by company1Trusted by company2Trusted by company3
International Coronavirus Case Log Dataset on Opendatabay data marketplace

"No reviews yet"

Free

About

This dataset provides up-to-date daily figures for confirmed, death, and active cases of COVID-19 across 225 countries. It was created to offer an easily digestible and current overview of the global pandemic. The data, scraped from Worldometers.info, covers the period from December 2019 to May 2022, capturing the progression of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pandemic. It aims to highlight the ongoing impact of the virus, from economic effects to mental health implications, while also reflecting on advancements like vaccine studies. The dataset is regularly updated, making it a valuable resource for tracking and analysing the pandemic's evolution globally.

Columns

The dataset primarily includes daily observation data with the following seven columns:
  • date: The specific date of the observation, presented in YYYY-MM-DD format.
  • country: Identifies the country for which the data in that row was recorded.
  • cumulative_total_cases: The cumulative number of confirmed COVID-19 cases recorded in the country up to the observation date.
  • daily_new_cases: The number of new confirmed COVID-19 cases reported on the specific observation date for the country.
  • active_cases: The count of confirmed cases that had not yet resulted in recovery or death as of the observation date for the country.
  • cumulative_total_deaths: The cumulative number of confirmed COVID-19 deaths recorded in the country up to the observation date.
  • daily_new_deaths: The number of new confirmed COVID-19 deaths reported on the specific observation date for the country.

Distribution

The dataset is typically provided as a CSV file, named worldometer_coronavirus_daily_data.csv, and has a size of 9.18 MB. The data was scraped from Worldometers.info on 14th May 2022. It includes records for 225 countries. For most countries, records span from 15th February 2020 until 14th May 2022, amounting to 820 days of data per country. China has data from 22nd January 2020 to 14th May 2022 (844 days), and Palau from 25th August 2021 to 14th May 2022 (263 days). The dataset contains approximately 185,000 records, with some columns having a small percentage of missing values (e.g., daily_new_cases at 6% missing, daily_new_deaths at 15% missing). It is expected to be updated daily.

Usage

This dataset is ideal for a variety of applications, including:
  • Visualising trends: Users can observe and chart the progression of COVID-19 cases and deaths within specific countries or compare trends across multiple nations.
  • Event impact analysis: It can be combined with information on significant events (e.g., lockdowns, new virus mutations, public holidays) to study their effects on the pandemic's trajectory.
  • Time series analysis: The daily nature of the data makes it highly suitable for time series modelling to understand patterns and forecast future developments.
  • Deep learning applications: Researchers can use this extensive collection of data to train deep learning algorithms for predictive modelling of pandemic outcomes.

Coverage

The dataset provides global coverage, representing 225 countries and territories. The time range for the data generally runs from 15th February 2020 until 14th May 2022. Specific exceptions include China, with data starting earlier from 22nd January 2020, and Palau, with data starting later from 25th August 2021. The dataset focuses on daily reported numbers of confirmed cases, deaths, and active cases, offering a granular view of the pandemic's impact over time across diverse geographies.

License

CC0: Public Domain

Who Can Use It

This dataset is designed for a wide array of users, including:
  • Data scientists and analysts: For conducting statistical analysis, creating visualisations, and building dashboards.
  • Public health researchers: To study epidemiological patterns, assess interventions, and understand the spread of the virus.
  • Academics and students: For educational purposes, research projects, and developing predictive models.
  • Anyone interested in global health trends: To explore and understand the dynamics of the COVID-19 pandemic.

Dataset Name Suggestions

  • Global COVID-19 Daily Tracking
  • Worldwide Coronavirus Statistics
  • Daily Pandemic Data
  • COVID-19 Global Impact Record
  • International Coronavirus Case Log

Attributes

Listing Stats

VIEWS

0

DOWNLOADS

0

LISTED

14/07/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in ZIP Format