SDG 03-3-1: HIV Incidence per 1,000 Uninfected Population

Data as of 2022

Number of new HIV infections per 1,000 uninfected population by sex, as per the specifications of SDG Indicator 3-3-1.

0 viewsΒ·0 downloads

How is this data produced?

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.

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

β€”

Publication(s) using this data

β€”

Metadata

Dataset description

Number of new HIV infections per 1,000 uninfected population by sex, as per the specifications of SDG Indicator 3-3-1.

Variable definitions
  • Date
  • Sex
  • Incidence
Last updated:

01 Sept 2024, 12:00

Next update:

N/A

Data source(s)
  • Ministry of Health Malaysia
License

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.

Download

Data
Full Dataset (CSV)

Full Dataset (CSV)

Recommended for individuals seeking an Excel-friendly format.

0

Full Dataset (Parquet)

Full Dataset (Parquet)

Recommended for data scientists seeking to work with data via code.

0

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.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)

Sample OpenAPI query

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)
jata negara

Department of Statistics Malaysia

Β© 2024 Public Sector Open Data