Sold by: Rearc
Deployed on AWS
This resource shows health conditions and contributing causes mentioned in conjunction with deaths involving coronavirus disease 2019 (COVID-19) starting from February 1, 2020.
Overview
The source code outlining how this product gathers, transforms, revises and publishes its datasets is available at https://github.com/rearc-data/conditions-contributing-to-deaths-covid-19 .
Main Overview:
This resource shows health conditions and contributing causes mentioned in conjunction with deaths involving coronavirus disease 2019 (COVID-19) starting from February 1, 2020.
Centers for Disease Control and Prevention provides free and open access to various health related data. If you are intersted in learning more about datasets released by the CDC, please visit the page on the CDC Data Homepage .
Data Source
The dataset contained with this product is presented in CSV and JSON format. The included dataset has the following columns:
data_as_of, start_week, end_week, condition_group, condition, icd10_codes, all_ages, 0-24_years, 25-34_years, 35-44_years, 45-54_years, 55-64_years, 65-74_years, 75-84_years, 85_years_and_over
More Information
- Source - Data | Conditions contributing to deaths involving coronavirus disease 2019 (COVID-19), by age group, United States.
- Terms of Use
- CDC Data Homepage
- Frequency: Weekly
- Formats: CSV, JSON
Contact Details
- If you find any issues or have enhancements with this product, open up a GitHub issue and we will gladly take a look at it. Better yet, submit a pull request. Any contributions you make are greatly appreciated :heart:.
- If you are interested in any other open datasets, please create a request on our project board here .
- If you have questions about this source data, please send the CDC an email at cdcinfo@cdc.gov .
- If you have any other questions or feedback, send us an email at data@rearc.io .
About Rearc
Rearc is a cloud, software and services company. We believe that empowering engineers drives innovation. Cloud-native architectures, modern software and data practices, and the ability to safely experiment can enable engineers to realize their full potential. We have partnered with several enterprises and startups to help them achieve agility. Our approach is simple — empower engineers with the best tools possible to make an impact within their industry.
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Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
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Dimensions summary
This listing uses a single pricing dimension called Product Access (Units). It grants you access to the dataset at no cost. There are no tiers, usage add-ons, or size options to compare. The vendor publishes free public datasets so you can consume them through AWS Data Exchange in a consistent format. Because pricing is free, there is no scaling logic or per-unit charge to weigh. You simply subscribe to gain access.
Top-of-mind questions for buyers
It grants you subscription access to the dataset at no cost. The unit maps to your subscription entitlement, not a quantity you scale up. You subscribe once to consume the data through AWS Data Exchange in a consistent format. There is no per-record or per-query charge to track.
You access the dataset through AWS Data Exchange, which delivers it in a consistent format. The vendor sources, transforms, and publishes free public datasets so you can feed them into your data pipeline without managing acquisition or processing steps yourself.
No. This listing has a single free access dimension with no usage meters, tiers, or included-amount limits. Your cost stays at zero regardless of how much data you consume or how often you query it. Any AWS infrastructure fees for storing or processing the data are separate.
www.rearc.io
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Refunds Not Applicable
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Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
Conditions Contributing to Deaths involving COVID-19, by Age, U.S. | CDC | All historical revisions | All future revisions | Not included | Not included |
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