An analysis of the COVID-19 data from South Korea is presented in the covid_fight_plan.ipynb
notebook. The data can be found on Kaggle.
The aim of this work is to analyze the COVID-19 data from South Korea and prepare recommendations for fighting the next wave of the pandemic in Lithuania.
The work objectives are as follows:
- Provide the picture of a COVID-19 patient;
- Get insights on COVID-19 infection cases;
- Describe the spread of COVID-19 and government reaction to it.
Resources from South Korea available for analysis:
- Data of COVID-19 infection cases
- Epidemiological data of COVID-19 patients (from 2020-01-20 to 2020-06-30)
- Time series data of COVID-19 status
- in terms of diagnostic tests (from 2020-01-20 to 2020-06-30)
- in terms of the age (from 2020-03-02 to 2020-06-30)
- in terms of gender (from 2020-03-02 to 2020-06-30)
- in terms of the province (from 2020-01-20 to 2020-06-30)
- Additional data:
- location and statistical data of the regions
- data of the weather in the regions (from 2016-01-01 to 2020-06-29)
- trend data of the keywords searched in NAVER which is one of the largest portals in South Korea (from 2016-01-01 to 2020-06-29)
- data of floating population in Seoul, South Korea (from SK Telecom Big Data Hub) (from 2020-01-01 to 2020-05-31)
- data of the government policy for COVID-19 (as of 2020-06-30)
However, in this work only a part of the available resources is used.