nytimes/covid-19-data

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.

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