Number of new HIV infections per 1,000 uninfected population by sex, as per the specifications of SDG Indicator 3-3-1.
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This dataset is tabulated from administrative data on the notifications of infectious diseases collected by the Ministry of Health. The total number of new cases per year is subsequently divided by the estimated uninfected population for that year to calculate the incidence rate. Although this data is primarily collected as part of Malaysia's general healthcare operations, it is specifically reported as part of Malaysia's monitoring of the Sustainable Development Goals (SDGs), in line with the most recent SDG Global Indicator Framework.
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Number of new HIV infections per 1,000 uninfected population by sex, as per the specifications of SDG Indicator 3-3-1.
Name in Dataset | Variable | Definition |
---|---|---|
date (Date) | Date | The date in YYYY-MM-DD format, with MM-DD set to 01-01 as the data is at annual frequency. |
sex (Categorical) | Sex | Either both sexes ('both'), male ('male') or female ('female') |
incidence (Numeric) | Incidence | Number of new HIV infections per 1,000 uninfected population |
01 Sept 2024, 12:00
N/A
This data is made open under the Creative Commons Attribution 4.0 International License (CC BY 4.0). A copy of the license is available Here.
Full Dataset (CSV)
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Full Dataset (Parquet)
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Connect directly to the data with Python.
# If not already installed, do: pip install pandas fastparquet
import pandas as pd
URL_DATA = 'https://storage.dosm.gov.my/sdg/sdg_03-3-1.parquet'
df = pd.read_parquet(URL_DATA)
if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])
print(df)
The following code is an example of how to make an API query to retrieve the data catalogue mentioned above. You can use different programming languages by switching the code accordingly. For a complete guide on possible query parameters and syntax, please refer to the official Open API Documentation.
import requests
import pprint
url = "https://api.data.gov.my/data-catalogue?id=sdg_03-3-1&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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