Americans' Vision and Eye Health: 2005-2014

The Impact of Different Factors

About this dataset

The kaggle dataset description for the Vision and Eye Health Surveillance System is a population-based study that collects data on visual impairments, eye diseases, and access to eye care. The system is intended to provide accurate estimates of the prevalence of vision loss and eye diseases, as well as to identify barriers to access to vision and eye care. This information can be used for designing, implementing, and evaluating vision and eye health prevention programs

The Vision and Eye Health Surveillance System is a critical tool for public health officials working to prevent vision loss and promote eye health. The system provides accurate estimates of the prevalence of vision loss and eye diseases, which can be used to design, implement, and evaluate effective prevention programs. In addition, the system can help identify barriers to access to vision and eye care, which can be addressed in order to improve access for all Americans

How to use the dataset

When using this dataset, it is important to keep in mind that it provides population estimates of visual impairments, eye diseases, and access to eye care. This information can be used for designing, implementing, and evaluating vision and eye health prevention programs.

When using this dataset, it is also important to note that the data is self-reported and may not be accurate. Therefore, it is important to use caution when interpreting the data

Research Ideas

To generate estimates of prevalence of visual impairments, eye diseases and access to eye care at the state level

To identify barriers to access to vision and eye care

To design, implement and evaluate programs for preventing vision loss and promoting eye health

Acknowledgements

The health dataset was used in this study to provide population estimates of vision loss function, eye diseases, health disparities, as well as barriers and facilitators to access to vision and eye care. This information can be used for designing, implementing, and evaluating vision and eye health prevention programs

License

License: Open Database License (ODbL) v1.0

You are free to:

Share - copy and redistribute the material in any medium or format.

Adapt - remix, transform, and build upon the material for any purpose, even commercially.

You must:

Give appropriate credit - Provide a link to the license, and indicate if changes were made.

ShareAlike - You must distribute your contributions under the same license as the original.

Keep intact - all notices that refer to this license, including copyright notices.

No Derivatives - If you remix, transform, or build upon the material, you may not distribute the modified material.

No additional restrictions - You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Columns

File: Behavioral_Risk_Factors_-_Vision___Eye_Health.csv

Column name	Description
Year	The year the data was collected. (Integer)
LocationAbbr	The two-letter abbreviation for the state where the data was collected. (String)
LocationDesc	The name of the state where the data was collected. (String)
Topic	The topic of the data. (String)
Question	The question asked in the survey. (String)
DataSource	The source of the data. (String)
Response	The response to the question. (String)
Data_Value_Unit	The unit of measurement for the data value. (String)
Data_Value_Type	The type of data value. (String)
Data_Value_Footnote_Symbol	A footnote symbol for the data value. (String)
Sample_Size	The sample size for the data value. (Integer)
Break_Out	A breakout for the data value. (String)
Break_Out_Category	A category for the breakout. (String)
GeoLocation	The latitude and longitude for the state. (String)

Tables

Behavioral Risk Factors Vision Eye Health

@kaggle.thedevastator_americans_vision_and_eye_health_2005_2014.behavioral_risk_factors_vision_eye_health

657.99 KB
50288 rows
25 columns


CREATE TABLE behavioral_risk_factors_vision_eye_health (
  "index" BIGINT,
  "year" BIGINT,
  "locationabbr" VARCHAR,
  "locationdesc" VARCHAR,
  "topic" VARCHAR,
  "question" VARCHAR,
  "datasource" VARCHAR,
  "response" VARCHAR,
  "data_value_unit" VARCHAR,
  "data_value_type" VARCHAR,
  "data_value" DOUBLE,
  "data_value_footnote_symbol" VARCHAR,
  "data_value_footnote" VARCHAR,
  "low_confidence_limit" DOUBLE,
  "high_confidence_limit" DOUBLE,
  "sample_size" DOUBLE,
  "break_out" VARCHAR,
  "break_out_category" VARCHAR,
  "geolocation" VARCHAR,
  "topicid" VARCHAR,
  "questionid" VARCHAR,
  "locationid" BIGINT,
  "breakoutid" VARCHAR,
  "breakoutcategoryid" VARCHAR,
  "responseid" VARCHAR
);