Immunization Coverage Data
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**Overview**
Immunization Coverage Data package contains statistics related to immunization at country and city level, by type of vaccine and age group. The sources of data are the Centers for Disease Control and Prevention (CDC) and the Big Cities Health Coalition (BCHC), which is described as forum for the leaders of America’s largest metropolitan health departments.
**Description**
The CDC mission, as agency of the U.S. Department of Health & Human Services, is to protect America from health, safety and security threats, both foreign and in the U.S, regardless of where the disease starts (at home or abroad), is chronic or acute, curable or preventable, caused by a human error or deliberate attack. On the other side BCHC is a project of the National Association of County and City Health Officials (NACCHO) and it purpose is to facilitate the exchange of strategies and to address issues to promote and protect the health and safety of all people they serve.The main indicators related to vaccination coverage at country level are listed below:• Immunization among children 19-35 months old- DTaP (Diphtheria, Tetanus, and Pertussis)- IPV (Polio)- MMR (Measles, Mumps, and Rubella (MMR)- Hib (Herophilus Influenzae Type B)- Hepatitis A-Hepatitis B- Varicella- PCV (Pneumococcal Conjugate Vaccine)• Immunization among kindergarten students- DTaP (Diphtheria, Tetanus, and Pertussis)• Immunization among children 13-17 years old- DTaP (Diphtheria, Tetanus, and Pertussis)- Meningococcal Conjugate Vaccine- HPV (Human Papilloma Virus)• Global population immunization, time series (Diphtheria, Tetanus, and Pertussis)At city level the data is available for two types of immunizations: influenza and pneumococcal among most vulnerable age groups teenagers and elders.
**Benefits**
- Useful for epidemiologists, public health specialists and specialized institutions that plan and assess health services.
- useful for researchers seeking to improve the methods, regulations, health policies and strategy.
- the raw version can be found on authors website, but jsl is offering a clean, standardized and easier to use version, alone or in combination with other datasets found in jsl dataset library.
- the fields descriptions along with the dataset description are again useful for user to quick understand the data and the dataset.
**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 Immunization Coverage Rates](https://www.johnsnowlabs.com/marketplace/big-cities-immunization-coverage-rates)
- This dataset contains estimates of influenza and pneumococcal immunization coverage rates shared by the Big Cities Health Coalition members represented by the largest metropolitan health departments in United States. Influenza immunization estimates are for two moajor vulnerable categories, adults of 65 years and older and children and teenagers under 18 years old.
- [CDC Immunization Coverage 13 to 17 Year Olds 2011 to 2014](https://www.johnsnowlabs.com/marketplace/cdc-immunization-coverage-13-to-17-year-olds-2011-to-2014)
- Vaccinations are one of the best ways to put an end to the serious effects of certain diseases. Vaccination helps to check the occurrence of epidemics as well as control the mortality and morbidity rates. Vaccination in the absence of prevalence of any disease is necessary that it will avoid the reoccurrence of the disease and save future generations from the agony of the deadly disease. The dataset carries vaccination statistics of 13 to 17 year olds.
- [CDC Immunization Coverage 19 to 35 Months 2011 to 2014](https://www.johnsnowlabs.com/marketplace/cdc-immunization-coverage-19-to-35-months-2011-to-2014)
- Vaccinations are one of the best ways to put an end to the serious effects of certain diseases. Vaccination helps to check the occurrence of epidemics as well as control the mortality and morbidity rates. Vaccination in the absence of prevalence of any disease is necessary that it will avoid the reoccurrence of the disease and save future generations from the agony of the deadly disease. The dataset carries vaccination statistics of 19 to 35 Months Old Children.
- [CDC Immunization Coverage Kindergarten Student 2011 to 2014](https://www.johnsnowlabs.com/marketplace/cdc-immunization-coverage-kindergarten-student-2011-to-2014)
- Vaccinations are one of the best ways to put an end to the serious effects of certain diseases. Vaccination helps to check the occurrence of epidemics as well as control the mortality and morbidity rates. Vaccination in the absence of prevalence of any disease is necessary that it will avoid the reoccurrence of the disease and save future generations from the agony of the deadly disease. The dataset carries vaccination statistics of kindergarten students.
- [Child Immunization Annual Uptake Rates by NHS Board in Scotland](https://www.johnsnowlabs.com/marketplace/child-immunization-annual-uptake-rates-by-nhs-board-in-scotland)
- This dataset provides information about child immunization uptake rates for the 6-1n-1 vaccine by 12 and 24 months of rates by Scottish Index of Multiple Deprivation (SIMD) 2016 quintile by National Health Service (NHS) board in Scotland. It also includes Pneumococcal conjugate vaccine (PCV), Rotavirus and Meningococcal serogroup B (MenB) by 12 months of age, Measles, Mumps, and Rubella (MMR1), Hib/MenC, PCV Booster (PCVB) and MenB by 24 months of age for evaluation period in the Year 2018.
- [DTP3 Immunization Coverage 1986 to 2006](https://www.johnsnowlabs.com/marketplace/dtp3-immunization-coverage-1986-to-2006)
- This dataset provides estimates with confidence intervals of the coverage of three-dose diphtheria, tetanus, and pertussis (DTP3) vaccination.
**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 [info@johnsnowlabs.com](mailto:info@johnsnowlabs.com).
提供机构:
John Snow Labs



