Context

Roughly a year has passed since the outbreak of COVID-19, in which South Korea has managed to contain the virus with relative success. However, the pandemic nevertheless caused great harm to the Korean public and the economy. Notably, recent weeks (December 2020) were marked by soaring numbers of infections in South Korea, where infections exceeded 1000 for the first time. Thus, analyzing the covid status data of South Korea may give insight into the trend of the pandemic.

Content

The time period of the data is January 1, 2020 - December 23, 2020. Updates may be provided later.

The covid_kr file contains information such as number of: confirmed cases, released from quarantine, tests, deaths, patients being treated, negative cases, aggregate tests etc.

The gender_age file contains information of cases based on age and gender category.

Please refer to the column descriptions for details :)

Acknowledgements

The data was provided by the Ministry of Health and Welfare, which I obtained through the open API in the Korean Public Data Portal.

Image Credit: PIRO4D from Pixabay

Note

Analysis such as the trend of infections, vulnerable age groups, and many others can be conducted. Other useful datasets may be uploaded later on if found.

As of January 2025, the number of regular workers amounted to around **** million, up around *** thousand compared to the same month a year earlier. While the number of regular workers has increased following the outbreak of the COVID-19 pandemic, non-regular daily workers were more affected by the pandemic and experienced a decline in employment.

Context

• A new coronavirus designated 2019-nCoV was first identified in Wuhan, the capital of China's Hubei province
• People developed pneumonia without a clear cause and for which existing vaccines or treatments were not effective
• The virus has shown evidence of human-to-human transmission
• Korea has defended well against coronavirus until summer, but it increased many confirmed cases from fall
• As of 24th Dec. approximately 53K cases have been confirmed, and daily around 1K cases are getting confirmed
• This datasets are prepared to cheer Korea up fighting against coronavirus

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F4837224%2Ff829b8bd45aacf4c63b17e0116cb52c9%2Fcover_photo.PNG?generation=1608792447857317&alt=media" alt="">

Content

• 3 files attached which are 1) COVID Korea Status 2) COVID Korea Demo 3) COVID Korea Geo

• 1) COVID Korea Status : General daily update . STATE_DT : standard date . STATE_TIME : standard time . DECIDE_CNT : confirmed cases . CLEAR_CNT : clear cases after hospitalization . EXAM_CNT : examination cases . DEATH_CNT : death counts . CARE_CNT : counts on care . RESUTL_NEG_CNT : negative results after examination . ACC_EXAM_CNT : accumulative examination counts . ACC_EXAM_COMP_CNT: accumulative examination completes count . ACC_DEF_RATE : accumulative confirmed rate . CREATE_DT : posted date and time . UPDATE_DT : updated date and time

• 2) COVID Korea Demo : Updates with demographic information . GUBUN : classified by gender and age . CONF_CASE : confirmed cases . CONF_CASE_RATE : confirmed case rate . DEATH : death counts . DEATH_RATE : death rate . CRITICAL_RATE : critical rate . CREATE_DT : created date and time . UPDATE_DT : updated date and time

• 3) COVID Korea Geo : Updates with geographic information
  . CREATE_DT : created date and time
  . DEATH_CNT : death counts
  . GUBUN : city name
  . GUBUN_CN : city name in Chinese
  . GUBUN_EN : city name in English
  . INC_DEC : increase/decrease vs. past day
  . ISOL_CLEAR_CNT : clear counts from isolation
  . QUR_RATE : confirmed rate per 100K people
  . STD_DAY : standard day
  . UPDATE_DT : updated date and time
  . DEF_CNT : confirmed cases
  . ISOL_ING_CNT : isolated cases
  . OVER_FLOW_CNT : confirmed cases from foreign countries
  . LOCAL_OCC_CNT : domestic confirmed cases

Acknowledgements

• http://www.kdca.go.kr/cdc/
• https://data.go.kr/index.do

If these are useful, I will frequently update. Thanks.

Performance of the forecasting models for imported COVID-19 cases after 12 days.

On March 1, 2023, exactly 12,291 new cases of coronavirus (COVID-19) were reported in South Korea. South Korea's handling of the coronavirus (COVID-19) was initially widely praised, though the government's handling of vaccine distribution has been criticized. Seoul and the metropolitan areas were hit especially hard by a few group infections during the second wave in August 2020. This was followed by a fourth wave, driven by the delta variant and low vaccination rates, leading to rising figures. Though the country has since achieved high vaccination rates, the omicron variant led to record new daily cases. Cases once again began to decline in January of 2023.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

South Korea KCDC: COVID-19: Patients: 0000H: Con: SDC: Ulsan data was reported at 16.000 Person in 21 Apr 2021. This stayed constant from the previous number of 16.000 Person for 20 Apr 2021. South Korea KCDC: COVID-19: Patients: 0000H: Con: SDC: Ulsan data is updated daily, averaging 16.000 Person from Feb 2020 (Median) to 21 Apr 2021, with 423 observations. The data reached an all-time high of 16.000 Person in 21 Apr 2021 and a record low of 1.000 Person in 25 Feb 2020. South Korea KCDC: COVID-19: Patients: 0000H: Con: SDC: Ulsan data remains active status in CEIC and is reported by Korea Disease Control and Prevention Agency. The data is categorized under High Frequency Database’s Disease Outbreaks – Table KR.D001: Korea Centers for Disease Control and Prevention: Coronavirus Disease 2019 (COVID-2019) (Discontinued).

Context

Started in China, the Wuhan corona-virus is spreading around the world. Also, Korea is currently suffering from a virus that is spreading rapidly. The new coronavirus is difficult to analyze because it spreads through a variety of pathways, including asymptomatic infections.

Also, the infection propagation pattern differs from region to region, which requires specialized analysis for each city. We focused on constructing and analyzing data sets to prevent local infections in Busan City.

The following web app developed for visualizing and analyzing the local infection situation in Busan in a time series. http://corona-busan.co.kr

Content

In Korea, viruses are spreading rapidly due to certain religious activities. To analyze unusual situations, we included religion as a type of infection, and we constructed a confirmatory line over time to quickly identify contaminated areas and minimize additional infections.

Structure Description

Busan_Patient_Path.json In this data include 3-large hierachical category of patient (patient_info, infection_info, route_info)

• Patient_info
  • patient_id :
  • age
  • sex
  • country
  • religion :
  • residential_info
  • city
  • district
  • latitude
  • longtitude
• Infection_Info
  • Infection_Place
    • name
    • latitude
    • longtitude
  • Infection_type :
  • Infection_factor :
  • Isolation_place
    • name
    • latitude
    • longtitude
• Route {Array}
  • name :
  • latitude
  • longtitude
  • start_time :
  • end_time :

Acknowledgements

Pusan ​​National University(PNU) CSE, Chang-Hong Lee, and Jun-Hwan Huh has made the data sets and develop an analysis framework for the public good.

Source of data: Busan City, KCDC (Korea Centers for Disease Control & Prevention),

Thanks to the Korean Government and Busan city for making data available.

Inspiration

1. The virus spread caused by religion activity
2. Change in virus spread cases over at city level
3. Relationships between patients by infection type

This site provides comprehensive statistical information on the status of COVID-19 infections with data (cumulative confirmation rate, cumulative number of tests, cumulative number of tests completed, number of patients receiving treatment, number released from quarantine, number of deaths, number of confirmed cases, number of negative results, date of application of standard, time of application, number of tests in progress).

As of July 3, 2023, South Korea has confirmed a total of 32,256,154 cases of coronavirus (COVID-19) within the country, including 35,071 deaths. South Korea's handling of the coronavirus (COVID-19) was initially widely praised, though the government's handling of vaccine distribution has been criticized. After the first wave lasted till April, Seoul and the metropolitan areas were hit hard by a few group infections during the second wave in August 2020. This was followed by a fourth wave, driven by the delta variant and low vaccination rates, leading to rising figures. Though the country has since achieved high vaccination rates, the omicron variant led to record new daily cases in 2022.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

In past 24 hours, S. Korea, Asia had N/A new cases, N/A deaths and N/A recoveries.

This provides a function to search for information on the status of COVID-19 patients entering the country from overseas using data on the status of overseas inflow of COVID-19 patients. ※ Data source: Korea Disease Control and Prevention Agency (COVID-19 website) ※ The Korea Disease Control and Prevention Agency is strengthening quarantine at major entry points such as airports and ports, and is managing overseas inflow cases and providing information on them through diagnostic testing and self-quarantine measures for entrants. ※ We would like to inform you that updates to data on the status of overseas inflow of COVID-19 patients will be discontinued from June 1, 2023 in accordance with the decision of the Central Disaster and Safety Countermeasures Headquarters (Korea Disease Control and Prevention Agency) to lower the COVID-19 crisis level and switch to quarantine measures.

State-by-state data on South Korea COVID-19 vaccinations data Acknowledgement and License

All data are produced by Our World in Data are completely open access under the Creative Commons BY license. You have the permission to use, distribute, and reproduce these in any medium, provided the source and authors are credited.

https://ncov.kdca.go.kr/

South Korea recorded 31415280 Coronavirus Cases since the epidemic began, according to the World Health Organization (WHO). In addition, South Korea reported 34610 Coronavirus Deaths. This dataset includes a chart with historical data for South Korea Coronavirus Cases.

GlobalData expects the construction industry’s growth to decline to -2.8% in 2020. Although there will be a recovery, construction output value in real terms will not return to the 2017 highs until 2023. Read More

Ranking results of the countries based on COVID-19 status.

We have decided to leave the old version of Coronavirus-Dataset, because many kernels had been made based on it. Link to the new version of Coronavirus-Dataset

Context

COVID-19 has infected more than 7000 people in South Korea. KCDC (Korea Centers for Disease Control & Prevention) announces the information of COVID-19 quickly and transparently. We make a structured dataset based on the report materials of KCDC and local governments.

Acknowledgements

Thanks sincerely to all the members of KCDC and local governments. Source of data: KCDC (Korea Centers for Disease Control & Prevention)

South Korea KCDC: COVID-19: Patients: 0000H: Con: QDH: Daejeon data was reported at 0.000 Person in 07 Aug 2020. This stayed constant from the previous number of 0.000 Person for 06 Aug 2020. South Korea KCDC: COVID-19: Patients: 0000H: Con: QDH: Daejeon data is updated daily, averaging 0.000 Person from Feb 2020 (Median) to 07 Aug 2020, with 166 observations. The data reached an all-time high of 0.000 Person in 07 Aug 2020 and a record low of 0.000 Person in 07 Aug 2020. South Korea KCDC: COVID-19: Patients: 0000H: Con: QDH: Daejeon data remains active status in CEIC and is reported by Korea Disease Control and Prevention Agency. The data is categorized under High Frequency Database’s Disease Outbreaks – Table KR.D001: Korea Centers for Disease Control and Prevention: Coronavirus Disease 2019 (COVID-2019) (Discontinued).

Depression among university students and international university students is an increasing problem globally. This study aimed to clarify the differences on the conditions and determinants of the knowledge, preventive practices and depression of the Chinese international students and local Korean students in South Korea during the COVID-19 pandemic. An online cross-sectional questionnaire including general demographic characteristics, COVID-19-related knowledge, preventive practice, and the Patient Health Questionnaire (PHQ-9) was applied from March 23 to April 22, 2020. A total of 533 university students (171 Chinese international students and 362 local South Korean students) were included in the study. The majority of both Chinese international students and local South Korean students had a good comprehension of COVID-19. Chinese international students in South Korea showed better preventive practice than local Korean students, while the proportion of moderate to severe depression of Chinese international students was relatively higher (28.07%) than that of local Korean students (22.38%). Determinants of depression of Chinese international students in South Korea were information satisfaction, likelihood of survival after infection, symptoms of a cough and feelings of discrimination, while for local Korean students were gender, educational level, family, suspected symptoms, self-assessed physical health status, COVID-19 detection, population contact history and online sources of information. These results could be used as a reference for decreasing the depressive symptoms among the university students.

South Korea KCDC: COVID-19: Patients: 0000H: Con: QDH: Incheon data was reported at 0.000 Person in 07 Aug 2020. This stayed constant from the previous number of 0.000 Person for 06 Aug 2020. South Korea KCDC: COVID-19: Patients: 0000H: Con: QDH: Incheon data is updated daily, averaging 0.000 Person from Feb 2020 (Median) to 07 Aug 2020, with 166 observations. The data reached an all-time high of 0.000 Person in 07 Aug 2020 and a record low of 0.000 Person in 07 Aug 2020. South Korea KCDC: COVID-19: Patients: 0000H: Con: QDH: Incheon data remains active status in CEIC and is reported by Korea Disease Control and Prevention Agency. The data is categorized under High Frequency Database’s Disease Outbreaks – Table KR.D001: Korea Centers for Disease Control and Prevention: Coronavirus Disease 2019 (COVID-2019) (Discontinued).

Context

This dataset contains the latest data of Covid-19 in Seoul, South Korea as of August 28, 2021. This dataset can be used to analyze Covid 19 trend in Seoul, South Korea. Recommended for Exploratory Data Analysis about Covid 19.

Content

1. serial_number: Serial Number by the Seoul Metropolitan Government
2. diagnosed date: Date of diagnosis for Covid 19
3. area: Mainly districts in Seoul; some of the cases are from other cities or provinces
4. travelled_history: Travelled locations or countries before diagnosis
5. status: Status of infected personnel
6. registered_date: Registered Date
7. corrected_date: Corrected Date for data registration
8. exposed_yn: Exposed to Covid 19 (Y/N)

Source:

Link: http://data.seoul.go.kr/dataList/OA-20279/S/1/datasetView.do

Thanks to Seoul Metropolitan Government for providing the data as a public dataset.