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Indonesia COVID-19 Situation Report Data
Patient Health Records & Digital Health
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About
Data details the COVID-19 situation in Indonesia, derived from daily situation reports provided by the Ministry of Health. This resource was initially compiled as part of the Inkovis Python project for visualization and analysis of the initial phase of the pandemic. The material tracks crucial metrics including daily reported cases, recoveries, fatalities, and testing volumes.
Columns
The single data document,
data_infeksi_covid19_indonesia.csv, contains 9 columns, based on 105 total records:- tanggal: The date the data was reported. Records span from 18 February 2020 to 1 June 2020. This field is 100% valid.
- jumlah_periksa: The total number of cases or specimens received for examination. Values range up to 232k, with a mean of 54.2k. This field is 100% valid.
- konfirmasi: The total count of positive COVID-19 confirmed cases. Values range up to 26.9k, with a mean of 7.14k. This field is 100% valid.
- sembuh: The total count of cases recovered from the virus. Values range up to 7,637, with a mean of 1.44k. This field is 100% valid.
- meninggal: The total number of COVID-19 related fatalities. Values range up to 1,641, with a mean of 500. This field is 100% valid.
- negatif: The total number of negative COVID-19 cases. Values range up to 205k, with a mean of 45.8k. This field is 100% valid.
- proses_periksa: The number of specimens currently still undergoing examination. Values range up to 50, with a mean of 4.44. This field is 100% valid.
- kasus_perawatan: The number of cases currently under care. This information was not consistently available in the source reports, resulting in 53% missing values.
- catatan: Additional information or comments regarding the data report. This field is 59% valid.
Distribution
The material is distributed as a single CSV file named
data_infeksi_covid19_indonesia.csv, which is 5.78 kB in size. The dataset contains 105 records. Data validity is 100% for all core time series metrics (date, confirmed, recovered, deceased, tested). The expected update frequency is daily, scheduled for 17.00 WIB (GMT+7) via GitHub automation, although the material on this platform has not been updated since 1 June 2020.Usage
This resource is highly suitable for epidemiological time series analysis, particularly tracking the early progression of the COVID-19 pandemic in Indonesia. It can be used to model infection rates, recovery patterns, and fatality trends based on officially reported government data. Analysts can also track the efficiency of testing (total examined versus confirmed cases).
Coverage
The geographic scope is limited to Indonesia. The temporal coverage spans the beginning phase of the outbreak, from 18 February 2020 up to 1 June 2020. The content includes daily counts of testing activity, positive and negative results, recoveries, and deaths.
License
CC BY-NC-SA 4.0
Who Can Use It
The dataset is intended for academics, researchers, and data scientists studying global public health, virology, and the effects of current events. It holds a maximum usability rating of 10.00.
Dataset Name Suggestions
- Indonesia COVID-19 Situation Report Data
- Inkovis Project Indonesian Pandemic Data
- COVID-19 Infection Data Indonesia (Feb-June 2020)
Attributes
Original Data Source: Indonesia COVID-19 Situation Report Data
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