As of March 9, 2023, the total number of COVID-19 cases in Indonesia amounted to approximately 6.74 million. Up until now, the death toll in Indonesia has risen to more than 160.9 thousand.

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

Indonesia recorded 6799760 Coronavirus Cases since the epidemic began, according to the World Health Organization (WHO). In addition, Indonesia reported 161646 Coronavirus Deaths. This dataset includes a chart with historical data for Indonesia Coronavirus Cases.

As of March 9, 2023, Indonesia registered 160,941 deaths from the coronavirus. This week, Indonesia is experiencing an increase in cases caused by the highly-contagious Omicron variant.

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

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

Context:

From World Health Organization - On 31 December 2019, WHO was alerted to several cases of pneumonia in Wuhan City, Hubei Province of China. The virus did not match any other known virus. This raised concern because when a virus is new, we do not know how it affects people.

So daily level information on the affected people can give some interesting insights when it is made available to the broader data science community.

Johns Hopkins University has made an excellent dashboard using the affected cases data. Data is extracted from the google sheets associated and made available here.

Edited:

Now data is available as csv files in the Johns Hopkins Github repository. Please refer to the github repository for the Terms of Use details. Uploading it here for using it in Kaggle kernels and getting insights from the broader DS community.

Content

2019 Novel Coronavirus (2019-nCoV) is a virus (more specifically, a coronavirus) identified as the cause of an outbreak of respiratory illness first detected in Wuhan, China. Early on, many of the patients in the outbreak in Wuhan, China reportedly had some link to a large seafood and animal market, suggesting animal-to-person spread. However, a growing number of patients reportedly have not had exposure to animal markets, indicating person-to-person spread is occurring. At this time, it’s unclear how easily or sustainably this virus is spreading between people - CDC

This dataset has daily level information on the number of affected cases, deaths and recovery from 2019 novel coronavirus. Please note that this is a time series data and so the number of cases on any given day is the cumulative number.

The data is available from 22 Jan, 2020.

Here’s a polished version suitable for a professional Kaggle dataset description:

Dataset Description

This dataset contains time-series and case-level records of the COVID-19 pandemic. The primary file is covid_19_data.csv, with supporting files for earlier records and individual-level line list data.

Files and Columns

1. covid_19_data.csv (Main File)

This is the primary dataset and contains aggregated COVID-19 statistics by location and date.

• Sno – Serial number of the record
• ObservationDate – Date of the observation (MM/DD/YYYY)
• Province/State – Province or state of the observation (may be missing for some entries)
• Country/Region – Country of the observation
• Last Update – Timestamp (UTC) when the record was last updated (not standardized, requires cleaning before use)
• Confirmed – Cumulative number of confirmed cases on that date
• Deaths – Cumulative number of deaths on that date
• Recovered – Cumulative number of recoveries on that date

2. 2019_ncov_data.csv (Legacy File)

This file contains earlier COVID-19 records. It is no longer updated and is provided only for historical reference. For current analysis, please use covid_19_data.csv.

3. COVID_open_line_list_data.csv

This file provides individual-level case information, obtained from an open data source. It includes patient demographics, travel history, and case outcomes.

4. COVID19_line_list_data.csv

Another individual-level case dataset, also obtained from public sources, with detailed patient-level information useful for micro-level epidemiological analysis.

✅ Use covid_19_data.csv for up-to-date aggregated global trends.

✅ Use the line list datasets for detailed, individual-level case analysis.

Country level datasets:

If you are interested in knowing country level data, please refer to the following Kaggle datasets:

India - https://www.kaggle.com/sudalairajkumar/covid19-in-india

South Korea - https://www.kaggle.com/kimjihoo/coronavirusdataset

Italy - https://www.kaggle.com/sudalairajkumar/covid19-in-italy

Brazil - https://www.kaggle.com/unanimad/corona-virus-brazil

USA - https://www.kaggle.com/sudalairajkumar/covid19-in-usa

Switzerland - https://www.kaggle.com/daenuprobst/covid19-cases-switzerland

Indonesia - https://www.kaggle.com/ardisragen/indonesia-coronavirus-cases

Acknowledgements :

Johns Hopkins University for making the data available for educational and academic research purposes

MoBS lab - https://www.mobs-lab.org/2019ncov.html

World Health Organization (WHO): https://www.who.int/

DXY.cn. Pneumonia. 2020. http://3g.dxy.cn/newh5/view/pneumonia.

BNO News: https://bnonews.com/index.php/2020/02/the-latest-coronavirus-cases/

National Health Commission of the People’s Republic of China (NHC): http://www.nhc.gov.cn/xcs/yqtb/list_gzbd.shtml

China CDC (CCDC): http://weekly.chinacdc.cn/news/TrackingtheEpidemic.htm

Hong Kong Department of Health: https://www.chp.gov.hk/en/features/102465.html

Macau Government: https://www.ssm.gov.mo/portal/

Taiwan CDC: https://sites.google....

Context

Global update on coronavirus disease As of 17 March 2020, a total of 179.112 confirmed cases have been reported for coronavirus disease (COVID-19) globally. Among these, there have been 7.426 deaths reported related to COVID-19.

Update on coronavirus disease in Indonesia As of 17 March 2020, the Government of the Republic of Indonesia has reported 172 confirmed cases and five deaths related to COVID-19. WHO is working with the Indonesian Government to monitor the situation and prevent further spread of disease.

Acknowledgements

• https://kawalcovid19.id/
• https://corona.jakarta.go.id/
• https://pikobar.jabarprov.go.id/

MoH: COVID-19: Cases: To-Date: NSTF: DKI Jakarta data was reported at 1,551,733.000 Person in 28 Jun 2023. This records an increase from the previous number of 1,551,721.000 Person for 27 Jun 2023. MoH: COVID-19: Cases: To-Date: NSTF: DKI Jakarta data is updated daily, averaging 847,721.000 Person from Mar 2020 (Median) to 28 Jun 2023, with 1198 observations. The data reached an all-time high of 1,551,733.000 Person in 28 Jun 2023 and a record low of 9.000 Person in 18 Mar 2020. MoH: COVID-19: Cases: To-Date: NSTF: DKI Jakarta data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under High Frequency Database’s Disease Outbreaks – Table ID.HLB025: Coronavirus Disease 2019 (Covid-19): Number of Cases (Discontinued). Negative Specimen Twice Follow-ups (NSTF) [COVID-19-IMPACT]

A data visualization representing Indonesia's Covid-19 cases have spiked

Analysis of ‘Indonesia-Coronavirus’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/ardisragen/indonesia-coronavirus-cases on 30 September 2021.

--- Dataset description provided by original source is as follows ---

Context

COVID-19 has infected many people in Indonesia, and the number of confirmed cases is increasing exponentially. Indonesia has raised its coronavirus alert to the "Darurat Nasional (National Emergency)" until 29 May 2020. The Java island, especially Jakarta, the capital city of Indonesia, is the most affected region by the coronavirus.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2849532%2Ff46e130bad5d4e74a8835ca057dd05ca%2Facc.png?generation=1584939612835429&alt=media" alt="">

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2849532%2F93b53d1b6601da74041f41ea4ba227f6%2Fcases.png?generation=1584938551413887&alt=media" alt="">

Following are the list of available online portals announce the information of COVID-19, from the public community and provincial (regional) government website in Indonesia.

1. https://www.covid19.go.id/situasi-virus-corona/, by Indonesian National Board for Disaster Management.
2. https://kawalcovid19.id/, by Kawal Covid-19 Indonesia community.
3. https://corona.jakarta.go.id/, Jakarta tanggap Covid-19 by Pemda DKI Jakarta.
4. https://pikobar.jabarprov.go.id/, Pusat Informasi & Koordinasi COVID-19, by Pemprov Jawa Barat.
5. https://corona.jatengprov.go.id/, Jawa Tengah Tanggap COVID-19, by Pemprov Jawa Tengah.
6. https://corona.sumbarprov.go.id/, Sumbar Tanggap Corona, by Pemprov Sumatera Barat.
7. http://corona.jogjaprov.go.id/, Yogyakarta Tanggap Covid-19, by Pemprov DIY.
8. https://covid19.bandung.go.id/. Pusat Informasi & Koordinasi COVID-19 Kota Bandung.

We make a structured dataset based on the report materials in these portals. Thus, the research community can apply recent AI and statistical techniques to generate new insights in support of the ongoing fight against this infectious disease in Indonesia.

Current State

Dataset 1) Total Confirmed Positive Cases 2) Google Trend Related keywords 3) Patient Epidemiological Data 4) Daily Case Statistics 5) Case per Province 6) Case in Jakarta Capital City 7) Daily New Confirmed Cases in Each Province (Timeline)

Kernel 1) Predicting Coronavirus Positive Cases in Indonesia 2) Visualization & Analysis of Covid-19 in Indonesia 3) Logistic Model for Indonesia COVID-19 4) DataSet Characteristics of Corona patients in several countries, including Indonesia 5) Novel Corona Virus (Covid-19) Indonesia EDA 6) Simple Visualization and Forecasting 7) Characteristics of Corona patients DS

Related Publication 1) Response to Covid-19: Data Analytics and Transparency, Koderea Talks, 18 March 2020, https://www.researchgate.net/publication/340003505_Response_to_Covid-19_Data_Analytics_and_Transparency 2) Covid-19 Data Science, ID Institute Obrolin Data Coronavirus, 24 March 2020, https://www.researchgate.net/publication/340116231_IDInstitute_Covid-19_Data_Science

Other Country Level Datasets

• South Korea - https://www.kaggle.com/kimjihoo/coronavirusdataset
• Italy - https://www.kaggle.com/sudalairajkumar/covid19-in-italy
• Brazil - https://www.kaggle.com/unanimad/corona-virus-brazil
• USA - https://www.kaggle.com/sudalairajkumar/covid19-in-usa
• France - https://www.kaggle.com/lperez/coronavirus-france-dataset
• Tunisia - https://www.kaggle.com/ghassen1302/coronavirus-tunisia
• Japan - https://www.kaggle.com/tsubasatwi/close-contact-status-of-corona-in-japan

Acknowledgements

Thanks sincerely to all the members of the DSCI Team, KawalCovid19.id, Pemda DKI Jakarta, Pemprov Jawa Barat, Pemprov Jawa Tengah, Pemprov Sumatera Barat, and Pemprov DIY.

DSCI Team

1. Ardiansyah (ardisragen)
2. Tri A Sundara (trilabs)
3. Thomhert (thomhert)
4. Epsi Sayidina (epsisayidina)
5. Teuku Hashrul (hahasrul)
6. Naufal Hakim (hakimbazol)

Invitation

We welcome anyone to join us as collaborators! Join WAG Chat: https://s.id/fgPoP For more information please contact ardi@ejnu.net or WA +8210-4297-0504

Working with https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2849532%2Fd56eaf0a5d770d756a54cec0d09c87ff%2Fkoderea.png?generation=1584539195622597&alt=media" alt="">

--- Original source retains full ownership of the source dataset ---

MoH: COVID-19: Cases: To-Date: NSTF: Bengkulu data was reported at 29,427.000 Person in 28 Jun 2023. This stayed constant from the previous number of 29,427.000 Person for 27 Jun 2023. MoH: COVID-19: Cases: To-Date: NSTF: Bengkulu data is updated daily, averaging 22,607.000 Person from Apr 2020 (Median) to 28 Jun 2023, with 1164 observations. The data reached an all-time high of 29,427.000 Person in 28 Jun 2023 and a record low of 1.000 Person in 20 May 2020. MoH: COVID-19: Cases: To-Date: NSTF: Bengkulu data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under High Frequency Database’s Disease Outbreaks – Table ID.HLB025: Coronavirus Disease 2019 (Covid-19): Number of Cases (Discontinued). [COVID-19-IMPACT]

Risk factors (according to sex, age group and main island) for mortality of COVID-19 in Indonesia from March 2nd–August 2nd2020.

Indonesia MoH: COVID-19: Cases: To-Date: NSTF: South Sulawesi data was reported at 146,670.000 Person in 28 Jun 2023. This stayed constant from the previous number of 146,670.000 Person for 27 Jun 2023. Indonesia MoH: COVID-19: Cases: To-Date: NSTF: South Sulawesi data is updated daily, averaging 107,461.500 Person from Apr 2020 (Median) to 28 Jun 2023, with 1182 observations. The data reached an all-time high of 146,670.000 Person in 28 Jun 2023 and a record low of 4.000 Person in 03 Apr 2020. Indonesia MoH: COVID-19: Cases: To-Date: NSTF: South Sulawesi data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under High Frequency Database’s Disease Outbreaks – Table ID.HLB025: Coronavirus Disease 2019 (Covid-19): Number of Cases (Discontinued). [COVID-19-IMPACT]

According to a survey conducted in September 2020, **** percent of Indonesian respondents stated that the workplaces they visited had implemented temperature checking with an infrared thermometer gun as one of their COVID-19 health measures. As of October 13, 2020, the total number of COVID-19 cases in Indonesia amounted to ******* and the number had been increasing since Indonesia had its first COVID-19 case in March 2020.

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

Dataset

This dataset was created by Muhammad Ikbar Fahreza

Contents

According to a survey conducted in September 2020, ** percent of Indonesian respondents stated that the public service places they visited had implemented physical distancing as one of their COVID-19 safety measures. As of October 13, 2020, the total number of COVID-19 cases in Indonesia amounted to ******* and the number had been increasing since Indonesia had its first COVID-19 case in March 2020.

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

According to a survey conducted in September 2020, about ** percent of Indonesian respondents that had a baccalaureate/university degree believe that it is really unlikely to get infected by COVID-19. As of October 13, 2020, the total number of COVID-19 cases in Indonesia amounted to ******* and the number had been increasing since Indonesia had its first COVID-19 case in March 2020.

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

Characteristics of total national demographics, symptoms and comorbidity based on case categorization (confirmed, recovered, death) in Indonesia from March 2nd–August 2nd 2020.

Context

COVID-19 data in Turkey. Daily Covid-19 data published by our health ministry.

Content

time_series_covid_19_confirmed_tr
time_series_covid_19_recovered_tr
time_series_covid_19_deaths_tr
time_series_covid_19_intubated_tr
time_series_covid_19_intensive_care_tr.csv 
time_series_covid_19_tested_tr.csv 
test_numbers : Number of test (daily)

Total data

covid_19_data_tr

Github

Github repo : https://github.com/gkhan496/Covid19-in-Turkey/

Acknowledgements

We would like to thank our health ministry and all health workers.

Country level datasets

USA - https://www.kaggle.com/sudalairajkumar/covid19-in-usa Indonesia - https://www.kaggle.com/ardisragen/indonesia-coronavirus-cases France - https://www.kaggle.com/lperez/coronavirus-france-dataset Tunisia - https://www.kaggle.com/ghassen1302/coronavirus-tunisia Japan - https://www.kaggle.com/tsubasatwi/close-contact-status-of-corona-in-japan South Korea - https://www.kaggle.com/kimjihoo/coronavirusdataset Italy - https://www.kaggle.com/sudalairajkumar/covid19-in-italy Brazil - https://www.kaggle.com/unanimad/corona-virus-brazil

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2311214%2Feaf61a1cf97850b64aefd52d3de5890b%2FXMhaJ.png?generation=1586182028591623&alt=media" alt="">

Source : https://fastlifehacks.com/n95-vs-ffp/

https://covid19.saglik.gov.tr https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html?fbclid=IwAR0k49fzqTxI4HBBZF7n4hLX4Zj0Q2KII_WOEo7agklC20KODB3TOeF8RrU#/bda7594740fd40299423467b48e9ecf6 http://who.int/ --situation reports https://evrimagaci.org/covid19#turkey-statistics

Context

This is an early version of my dataset. I'm planing to expand this dataset with the addition of every province in Indonesia and vaccination data.

Content

This dataset contains the latest Covid-19 in Indonesia, from the first confirmed case in Indonesia, 02 March 2021 until 30 June 2021.

Acknowledgements

Thanks to covid.go.id/peta-sebaran where's this data is collected

Indonesia COVID-19: Tracing: Tracked Confirmed Cases (7DMA): DI Yogyakarta data was reported at 0.143 NA in 23 May 2023. This stayed constant from the previous number of 0.143 NA for 22 May 2023. Indonesia COVID-19: Tracing: Tracked Confirmed Cases (7DMA): DI Yogyakarta data is updated daily, averaging 0.714 NA from Dec 2021 (Median) to 23 May 2023, with 279 observations. The data reached an all-time high of 7.000 NA in 24 Jul 2022 and a record low of 0.140 NA in 20 Jul 2022. Indonesia COVID-19: Tracing: Tracked Confirmed Cases (7DMA): DI Yogyakarta data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under Indonesia Premium Database’s Health Sector – Table ID.HLB023: Coronavirus Disease 2019 (Covid-19): Covid Situation: Tracing: by Province (Discontinued).