Awesome
COVID-19 Korea Dataset with patient routes and visualizer
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 :star: and share this with others. Your support makes our work meaningful. Thanks. - Isaac
Kaggle
<img src="https://user-images.githubusercontent.com/50820635/87324270-d4771280-c56a-11ea-9e85-6749c2c640dd.PNG">Also checkout our Kaggle dataset.
1. COVID-19 Korea Dataset with Patient Routes
Dataset components:
- Patient routes (more coming!)
- Patient age / gender / diagnosed date
2. Epidemics & Medical Statistics
Dataset components:
- 22 major epidemics
- 16 vaccines
- 7 chronic diseases
- 5 major cancers
- Annual health screening results
- Medical facilities
- Population
- Depression & mental health
- Life satisfaction
3. Multi-variate & Time-scrollable Data Visualizer
Coming soon!
Key features:
- Displays infected patient route and regional patient count
- Visualizes changes in the number of patients and route with time
- Displays non-COVID-19 data as heatmap
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
- To reprocess information provided by KCDC and local governments for easy data analysis
- To find meaningful patterns by applying various data mining or visualization techniques
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Chief Research Director
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Senior Research Engineer
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Research Engineer
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Former Maintainer
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Logo Designer
Partnership
1) Competition
- COVID-19 Visualization & AI Competition (DACON)
- Post-Corona Data Visualization Competition (KT)
- 2020.07.01 ~ 2020.07.31
- Transport Big Data Online Hackathon (Ministry of Land, Infrastructure and Transport)
- 2020.07.14 ~ 2020.09.04
2) Research
- Maggie Munkhjargal (Harvard T.H. Chan School of Public Health)
- Gwang-Jin Kim (University of Freiburg)
- Sofia K. Mettler (Swiss Federal Institute of Technology, University of Zurich)
- Myung-Bae Park (Department of Gerontology Health and Welfare, Pai Chai University)
- Jinhee Lee (Department of Psychiatry, Yonsei University Wonju College of Medicine)
- Sun Kim (Harvard T.H. Chan School of Public Health)
- Ardiansyah Ardiansyah (Chonnam National University)
- Atina Husnayain (College of Medical Science and Technology, Taipei Medical University)
- Carlos Saez (Universitat Politècnica de València & Harvard Medical School)
- Dimitrios E. Kouzoukas (Edward Hines, Jr. VA Hospital & Loyola University Chicago)
- Tanima Bose (Ludwig-Maximilian University of Munich)
- Keumseok Peter Koh (Faculty of Social Sciences, The University of Hong Kong)
3) Media
- News articles
- ZDNet Korea (2020.03.05)
- The Electronic Times (2020.03.06)
- The Korea Economic Daily (2020.03.10)
- The Washington Post (2020.03.25)
- Blog posts
- Databricks (2020.04.14)
- DataRobot (2020.05.08)
4) Sponsor
- Google Korea (Soonson Kwon)
- Slack Technologies (Andy Pflaum)
- Notion Labs