nytimes/covid-19-data
Covid 19 Data
This project is a public health dataset providing historical and real-time COVID-19 case and death counts across the United States. It consists of a collection of CSV files containing time-series pandemic data organized by date, state, and county.
The dataset includes specialized records for institutional outbreaks, tracking infection and death rates within correctional facilities, colleges, and universities. It also provides statistics on excess mortality to estimate total pandemic impact and survey-based data on mask usage prevalence across different counties.
To facilitate geographic analysis and the integration of external population data, the records utilize Federal Information Processing Standard codes. The data covers a broad range of metrics, including cumulative and daily infection counts, mortality trends, and regional health statistics.
Features
- Public Health Datasets - Provides a comprehensive collection of public health datasets containing historical COVID-19 case and death counts.
- Daily Weather Aggregates - Provides aggregated daily health metrics including new cases and deaths using rolling averages.
- Daily Health Aggregates - Monitors daily counts of new cases and deaths alongside seven-day rolling averages.
- Time Series Datasets - Organizes case and death counts as collections of data points indexed in time order.
- Health Case-Isolated Data - Retrieves historical time-series data on confirmed and probable cases and deaths at multiple geographic levels.
- Time Series Data Storage - Maintains historical records of numerical infection and death counts over time.
- Geographic Data - Retrieves standardized global location entities and attributes to merge health metrics with population data.
- Geographic State Tracking - Retrieves historical time-series data including case counts and death tolls organized by state.
- Flat-File Storage - Stores time-series metrics and facility records in CSV files for simple distribution and consumption.
- Administrative Regional Indexing - Uses Federal Information Processing Standard codes to map health data to specific administrative regions.
- Pandemic Mortality Statistics - Provides time-series data on all-cause and expected deaths to estimate the total impact of the pandemic.
- Epidemiological Statistics Tracking - Provides historical time-series data on COVID-19 cases and deaths across national, state, and county levels.
- National Health Statistics Tracking - Retrieves historical time-series data for cases and deaths across national, state, and county levels.
- Time Series Analysis - Provides cumulative and daily infection and mortality statistics organized by date, state, and county for historical trend analysis.
- Trend Tracking - Provides historical time-series data for monitoring COVID-19 cases and deaths across national and regional levels.
- Epidemiological - Monitors cumulative counts of cases and deaths across national, state, and county levels over time.
- Pandemic - Retrieves historical time-series data for analyzing the progression of COVID-19 cases and deaths.
- Trend Analysis - Monitors cumulative and daily counts of pandemic cases and deaths across multiple geographic levels.
- Data Validation and Anomaly Detection - Lists specific dates and regions with reporting errors to identify and exclude data anomalies.
- Health Data - Provides public health tracking resources for infections, deaths, and tests in correctional facilities.
- Correctional Facility Health Datasets - Retrieves infection, death, and testing data for prisons and jails using specific personnel metrics.
- Unified Live and Historical Metric Queries - Provides queryable access to both finalized historical end-of-day tallies and partial real-time counts.
- Educational Outbreak Datasets - Monitors total and annual case counts for educational institutions using geographic locations and identifiers.
- Health Data Integration - Merges regional health metrics with external population and mapping data using FIPS codes.
- Higher Education Health Metrics - Monitors reported infection counts for students and staff across educational institutions using institutional identifiers.
- Institutional Demographic Datasets - Extracts population metrics, location coordinates, and facility types for a large number of institutional sites.
- Institutional Outbreak Datasets - Tracks infection and death rates within correctional facilities, colleges, and universities using institutional identifiers.
- Patient Mortality Evaluation - Analyzes mortality rates and survival outcomes by tracking deaths categorized by location and residence.
- Excess Mortality Analysis - Retrieves time-series data on all-cause and expected deaths to estimate total pandemic impact.
- Institutional Outbreak Monitoring - Monitors infection and death rates within correctional facilities and academic institutions.
- Correctional Facility Health Monitoring - Tracks infection, death, and testing rates among staff and inmates within correctional facilities.
- Education Sector Health Tracking - Monitors reported infection counts for students and faculty across higher education institutions.
- Moving Average Calculations - Processes daily raw counts into seven-day windows to smooth out reporting spikes and anomalies.
- Public Health Aggregations - Evaluates broad trends by aggregating health and population statistics at the state and federal levels.
- Rolling Window Functions - Applies sliding window functions to compute moving averages and smooth out daily reporting anomalies.
- Geographic Outbreak Tracking - Correlates regional health metrics with external population data using standard FIPS location codes.
