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Disease surveillance, vaccination data, epidemiology, health system capacity, mortality statistics
2,894 datasets
Refined COVID-19 Data Analysis Dataset is a cleaned and structured collection of COVID-19 cases and recoveries. The dataset appears to be sourced from Kaggle and is intended for exploratory data analysis. Specifics on volume, source, and update frequency are not provided in the input.
1,000,000 deidentified COVID-19 case records provide a substantial base for analysis. The dataset includes geographic and demographic information, as suggested by platform tags. It was sourced from Kaggle, but the author, organization, and specific collection time range are not provided.
2018–2026 simulated epidemiological surveillance data for Pakistan. The dataset is described as covering infectious disease surveillance across the country. It is hosted on Kaggle, but the author, organization, and specific data characteristics are unknown.
A data series and code package for reproducing Human Cause-of-Death (HCD) data for two countries: the United States and Ukraine. The dataset includes raw input data and computer code from the Human Mortality Database project, authored by Denys Dukhovnov. Users must preserve the provided directory structure for the code to execute.
Brazilian Covid-19 vaccination data covering a multi-year period from 2021 to 2026. The dataset originates from Kaggle and is described in Portuguese, focusing on the country's vaccination campaign. Specific details on record count, columns, and update schedule are unavailable.
City-level data on COVID-19 cases in Brazil. The dataset is hosted on Kaggle and is associated with the identifier 10.1590/SciELOPreprints.362. Specific details on the number of rows, columns, and time coverage are not provided in the available metadata.
A dataset originally created for a Kaggle competition focused on predicting COVID-19 mortality. The description indicates it was used for a prediction task, but specific column details, size, and temporal coverage are not provided. The original author, organization, and license information are also unknown.
Three categories of epidemiological data—confirmed, recovered, and death cases—are tracked across global locations. These cumulative totals facilitate the monitoring of pandemic progression and mortality impact across different regions.
COVID-19 Data Analysis Project is a dataset hosted on Kaggle. The dataset's specific content, size, and structure are unknown from the provided metadata. Its origin, collection method, and temporal coverage are also unspecified.
Comprising data on deaths from hypertensive diseases, organized by country. The data was entered into a joinpoint analysis framework by author J. Smith Torres-Roman. The specific number of rows, columns, and temporal coverage is not provided in the input.
Data on COVID-19 vaccination in the EU/EEA. The dataset is published on Kaggle. The specific temporal coverage, row count, and column details are not provided in the metadata.
Vietnam SARS-CoV-2 and COVID-19 Data is a dataset compiled from sources described as reliable. The dataset is hosted on Kaggle, a platform for data science and machine learning projects. Specific details on the number of records, time coverage, and data collection methodology are not provided in the available metadata.
A dataset tracking the spread of the coronavirus in Guatemala, sourced from Kaggle. The raw description indicates it contains data on the pandemic's progression. Specific details such as row count, column definitions, and update frequency are not provided in the metadata.
COVID-19 in Belgium (Auto-update) tracks the evolution of the coronavirus pandemic in Belgium. The dataset is published on Kaggle and likely contains time-series metrics related to case counts, hospitalizations, or deaths. The specific columns, data volume, and last update date are unknown from the provided metadata.
A data repository for the COVID-19 pandemic, originally collated by Johns Hopkins CSSE. The dataset likely contains time-series statistics on cases, deaths, and recoveries. It is published on the Kaggle platform.
Belgium's confirmed COVID-19 cases are recorded by date, age, sex, and province. The dataset likely contains time-series epidemiological data. It is published on Kaggle.
Time-series data on community mobility changes during the COVID-19 pandemic, sourced from Google. The dataset likely contains aggregated, anonymized metrics on movement trends across different categories of places. It was published on Kaggle, but specific temporal coverage, update frequency, and collection methodology are not detailed in the provided metadata.
A dataset from Kaggle focused on identifying lung disorders in the context of COVID-19. The specific data type, size, and collection details are not provided in the metadata. The dataset likely contains features for distinguishing between COVID-19 and other pulmonary conditions.
Comprising information on COVID-19 testing centers and kiosks in Bangladesh. The data is provided in JSON and CSV formats and is tagged for public health and medical facilities analysis.
A dataset on the COVID-19 pandemic, aggregated from Kaggle. The specific temporal coverage, geographic scope, and data collection method are not detailed in the provided metadata. The dataset's author, organization, and exact content require verification after download.