US Mortality and Morbidity Data

**Overview**
This data package contains data on public health indicators, mortality and morbidity. Specifically this accelerator contains mortality and morbidity rates for groups of diseases in the United States by state and county from 1980 to 2014.

**Description**
The datasets included in this accelerator consists of mortality and morbidity data only for the United States, including all or specific states and counties. According to Center for Disease Control and Prevention, morbidity is defined as any departure, subjective or objective, from a state of physiological or psychological well-being. In practice, morbidity encompasses disease, injury, and disability. Measures of morbidity frequency characterize the number of persons in a population who become ill (incidence) or are ill at a given time (prevalence). On the other hand, a mortality rate is a measure of the frequency of occurrence of death in a defined population during a specified interval. Morbidity and mortality measures are often the same mathematically and computed as deaths or illness occurring during a given time period divided by size of the population among which the deaths or illnesses occurred.

**Benefits**
- This data is useful for public health officials, clinicians, and researchers seeking to improve health and reduce geographic disparities. this can be used for further research
- public health officials and program managers for potential interventions, setting priority areas for action and evaluating progress
- policymakers for policy use and development
- public health practitioner and clinicians' aid in designing and implementing targeted interventions and monitoring the progress of public health strategies.

**License Information**
The use of John Snow Labs datasets is free for personal and research purposes. For commercial use please subscribe to the [Data Library](https://www.johnsnowlabs.com/marketplace/) on John Snow Labs website. The subscription will allow you to use all John Snow Labs datasets and data packages for commercial purposes.

**Included Datasets**
- [Big Cities Age-Adjusted ED Visits Rates](https://www.johnsnowlabs.com/marketplace/big-cities-age-adjusted-ed-visits-rates)
- This dataset contains estimates of Emergency Department visit rates for asthma and firearms related injuries shared by the Big Cities Health Coalition members represented by the largest metropolitan health departments in the United States. The estimated values of age-adjusted visit rates cover the 2010-2017 period and are described by gender and race/ethnicity.
- [Big Cities Age-Adjusted Mortality Rates](https://www.johnsnowlabs.com/marketplace/big-cities-age-adjusted-mortality-rates)
- This dataset contains estimates of age-adjusted mortality rates, by the major causes of death, shared by the Big Cities Health Coalition members represented by the largest metropolitan health departments in the United States. The estimated values of age-adjusted mortality cover the 2010-2015 period and are described by gender and race/ethnicity.
- [Big Cities Morbidity Rates](https://www.johnsnowlabs.com/marketplace/big-cities-morbidity-rates)
- This dataset contains estimates of morbidity rates for the major infections causes and elevated lead levels in blood among children, shared by the Big Cities Health Coalition members represented by the largest metropolitan health departments in the United States. The estimated values morbidity rates cover the 2010-2018 period and are described by sex and race/ethnicity.
- [County Level Age Adjusted Drug Poisoning Mortality](https://www.johnsnowlabs.com/marketplace/county-level-age-adjusted-drug-poisoning-mortality)
- This dataset contains mortality statistics for drug poisoning in the US at county level, starting with 1999. The age adjusted mortality at county level is presented as an interval, containing the estimated values for 16 age categories (with a minimum and maximum value), along with names of the state and of the county and with state and county FIPS codes.
- [New York City Age Adjusted And Crude Mortality Rates By Cause Of Death](https://www.johnsnowlabs.com/marketplace/new-york-city-age-adjusted-and-crude-mortality-rates-by-cause-of-death)
- This dataset contains estimates of mortality rates due to the major causes of death among the population of New York City, starting 2007. The estimated data for crude and age-adjusted mortality rates due the major causes of death are described by gender and race/ethnicity of the population groups.
- [State Level Opioid Overdose Mortality Rates](https://www.johnsnowlabs.com/marketplace/state-level-opioid-overdose-mortality-rates)
- This dataset contains mortality statistics for opioid drugs poisoning in the US at state level starting from 2013 to 2016. The indicators used crude and age-adjusted mortality. At the same time it contains data about the number of deaths and the increase of the number, along with statistical significance (for a probability level of 95%) of increase between the years.
- [US And State Level Crude And Age Adjusted Drug Poisoning Mortality](https://www.johnsnowlabs.com/marketplace/us-and-state-level-crude-and-age-adjusted-drug-poisoning-mortality)
- This dataset contains mortality statistics for drug poisoning in the US at country and state level starting from 1999. The mortality indicators used (crude and age-adjusted) are broken down by demographic characteristics, age, sex and race and presented along with US and state levels values.
- [US Mortality Rates for All Types of Cancer](https://www.johnsnowlabs.com/marketplace/us-mortality-rates-for-all-types-of-cancer)
- Cancer survival statistics are typically expressed as the proportion of patients alive at some point subsequent to the diagnosis of their cancer. Statistics compare the survival of patients diagnosed with cancer with the survival of people in the general population who are the same age, race, and sex and who have not been diagnosed with cancer.
- [US Mortality Rates for Groups of Communicable Diseases](https://www.johnsnowlabs.com/marketplace/us-mortality-rates-for-groups-of-communicable-diseases)
- This dataset contains estimates for cause-specific age-standardized mortality rates for groups of Communicable, Maternal, Neonatal, and Nutritional Diseases at the county level for each state, the District of Columbia, and the United States as a whole for 1980-2014 (quinquennial), as well as the changes in rates during this period.
- [US Mortality Rates for Groups of Injuries](https://www.johnsnowlabs.com/marketplace/us-mortality-rates-for-groups-of-injuries)
- This dataset contains estimates for cause-specific age-standardized mortality rates for groups of Injuries (Transport Injuries, Unintentional Injuries, Self-harm and Interpersonal Violence, Forces of Nature, War, and Legal Intervention) at the county level for each state, the District of Columbia, and the United States as a whole for 1980-2014 (quinquennial), as well as the changes in rates during this period.
- [US Mortality Rates for Groups of Noncommunicable Diseases](https://www.johnsnowlabs.com/marketplace/us-mortality-rates-for-groups-of-noncommunicable-diseases)
- This dataset contains estimates for cause-specific age-standardized mortality rates for groups of Noncommunicable Diseases at the county level for each state, the District of Columbia, and the United States as a whole for 1980-2014 (quinquennial), as well as the changes in rates during this period.
- [US Mortality Rates for Specific Cancer Types](https://www.johnsnowlabs.com/marketplace/us-mortality-rates-for-specific-cancer-types)
- This dataset contains estimates for 29 cancer-specific age-standardized mortality rates for specific cancer types at the county level for each state, the District of Columbia, and the United States as a whole for 1980-2014 (quinquennial), as well as the changes in rates during this period.
- [US Mortality Rates for Specific Cardiovascular Disease Type](https://www.johnsnowlabs.com/marketplace/us-mortality-rates-for-specific-cardiovascular-disease-type)
- This dataset contains estimates for cardiovascular disease-specific age-standardized mortality rates for specific cardiovascular disease types at the county level for each state, the District of Columbia, and the United States as a whole for 1980-2014 (quinquennial), as well as the changes in rates during this period.
- [US Mortality Rates for Specific Infectious Disease Type](https://www.johnsnowlabs.com/marketplace/us-mortality-rates-for-specific-infectious-disease-type)
- This dataset contains estimates for age-standardized mortality rates from lower respiratory infections (LRIs), diarrheal diseases, HIV/AIDS, meningitis, hepatitis, and tuberculosis between 1980 t0 2014.
- [US Mortality Rates for Specific Respiratory Disease Type](https://www.johnsnowlabs.com/marketplace/us-mortality-rates-for-specific-respiratory-disease-type)
- This dataset contains estimates for respiratory disease-specific age-standardized mortality rates for specific respiratory disease types at the county level for each state, the District of Columbia, and the United States as a whole for 1980-2014 (quinquennial), as well as the changes in rates during this period.
- [US Mortality Rates for Substance Use Disorders](https://www.johnsnowlabs.com/marketplace/us-mortality-rates-for-substance-use-disorders)
- This dataset contains estimates for age-standardized mortality rates by county from alcohol use disorders, drug use disorders, self-harm, and interpersonal violence.
- [US Mortality Risk for All Age Groups](https://www.johnsnowlabs.com/marketplace/us-mortality-risk-for-all-age-groups)
- This dataset provides estimates for mortality risk at the county level for each state, the District of Columbia, and the United States as a whole for 1980-2014, as well as the changes in life expectancy and mortality risk for each location during this period.

**Data Engineering Overview**
**We deliver high-quality data**
- Each dataset goes through 3 levels of quality review
- 2 Manual reviews are done by domain experts
- Then, an automated set of 60+ validations enforces every datum matches metadata & defined constraints
- Data is normalized into one unified type system
- All dates, unites, codes, currencies look the same
- All null values are normalized to the same value
- All dataset and field names are SQL and Hive compliant
- Data and Metadata
- Data is available in both CSV and Apache Parquet format, optimized for high read performance on distributed Hadoop, Spark & MPP clusters
- Metadata is provided in the open Frictionless Data standard, and its every field is normalized & validated
- Data Updates
- Data updates support replace-on-update: outdated foreign keys are deprecated, not deleted

**Our data is curated and enriched by domain experts**

Each dataset is manually curated by our team of doctors, pharmacists, public health & medical billing experts:
- Field names, descriptions, and normalized values are chosen by people who actually understand their meaning
- Healthcare & life science experts add categories, search keywords, descriptions and more to each dataset
- Both manual and automated data enrichment supported for clinical codes, providers, drugs, and geo-locations
- The data is always kept up to date – even when the source requires manual effort to get updates
- Support for data subscribers is provided directly by the domain experts who curated the data sets
- Every data source’s license is manually verified to allow for royalty-free commercial use and redistribution.

**Need Help?**
If you have questions about our products, contact us at [[e-mail]](mailto:[e-mail]).