/Data-Science-for-COVID-19

COVID-19 Korea Dataset & Comprehensive Medical Dataset & visualizer

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COVID-19 Korea Dataset with patient routes and visualizer

heatmap.gif

We are currently in the process of officially partnering up with the Korean CDC to bring more accurate and up-to-date data. And the most powerful tool to expedite the process is the sign of support from developers like you. So if you liked our work, please leave a ⭐ and share this with others. Your support makes our work meaningful. Thanks. - Isaac


Kaggle

Also checkout our Kaggle dataset.


1. COVID-19 Korea Dataset with Patient Routes

Dataset components:

  1. Patient routes (more coming!)
  2. Patient age / gender / diagnosed date

2. Epidemics & Medical Statistics

Dataset components:

  1. 22 major epidemics
  2. 16 vaccines
  3. 7 chronic diseases
  4. 5 major cancers
  5. Annual health screening results
  6. Medical facilities
  7. Population
  8. Depression & mental health
  9. Life satisfaction

3. Multi-variate & Time-scrollable Data Visualizer

Coming soon!

Key features:

  1. Displays infected patient route and regional patient count
  2. Visualizes changes in the number of patients and route with time
  3. Displays non-COVID-19 data as heatmap

visualizer.gif


Upcoming

  • Official partnership with the Korean CDC (in progress)
  • More patient routes from non-Seoul provinces
  • Daily-updates on COVID-19
  • Release visualizer
  • More features for the visualizer
  • More non-COVID-19 data

How to Give Feedback

  • Data request: Fill out this issue to request for specefic data, and we will try our best to gather them.
  • Errors in values: Fill out this issue if there are alarming errors in the existing data.

DS4C (Data Science for COVID-19) Project

  1. To reprocess information provided by KCDC and local governments for easy data analysis
  2. To find meaningful patterns by applying various data mining or visualization techniques

Partnership

1) Competition

2) Research

3) Media

4) Sponsor

5) Partner


License

CC BY-NC-SA 4.0