OpenDOSM

Partially Vaccinated Cases

Data as of 30 Jan 2023, 23:59

Cases

How is this data produced?

Confirmed COVID-19 cases are cases as defined in Annex 1 of the KKM COVID-19 Guidelines, which details how Malaysia defines suspected, probably, and confirmed COVID-19 cases.

What caveats I should bear in mind when using this data?

The number of confirmed cases may be less than the number of actual cases due to under-testing. The problem of under-testing is likely to have gotten more-severe after May 2023, when COVID-19 restrictions were lifted and testing rates fell.

Publication(s) using this data

KKMNOW's COVID-19 dashboard, developed by the Ministry of Health in collaboration with DOSM.

Metadata

Dataset description

This data documents COVID-19 cases as announced by the Ministry of Health Malaysia, with various breakdowns.

Variable definitions
  • Partially Vaccinated Cases
  • New Cases
  • Imported Cases
  • Recoveries
  • Active Cases
  • Unvaccinated Cases
  • Fully Vaccinated Cases
  • Boosted Cases
  • Date
  • State
Last updated

31 Jan 2023, 06:00

Next update

01 Feb 2023, 06:00

Data source(s)
  • KKM
License

This data is made open under the Creative Commons Attribution 4.0 International License (CC BY 4.0). A human-readable copy of the license is available Here.

Download

Code

Connect directly to the data with Python.

# If not already installed, do: pip install pandas fastparquet import pandas as pd URL_DATA = 'https://storage.googleapis.com/dosm-public-healthcare/covid-cases.parquet' df = pd.read_parquet(URL_DATA) if 'date' in df.columns: df['date'] = pd.to_datetime(df['date']) print(df)

Department of Statistics Malaysia

© 2023 Department of Statistics Malaysia (DOSM)