Sexually Transmitted Diseases (STDs) by State
Data as of 2022Number and incidence of sexually transmitted diseases (STDs) by state, covering HIV, AIDS, chancroid, gonorrhea, and syphilis.
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How is this data produced?
This dataset is tabulated from administrative records on the notifications of infectious diseases collected by the Ministry of Health. The incidence is calculated as the number of new cases per 100,000 population, based on the most recent population estimates.
What caveats I should bear in mind when using this data?
In general, the data presented here is based on the date of report rather than the date of the event. Furthermore, there may be underreporting of cases to varying degrees depending on the disease and state.
Publication(s) using this data
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Metadata
Dataset description
Number and incidence of sexually transmitted diseases (STDs) by state, covering HIV, AIDS, chancroid, gonorrhea, and syphilis.
Variable definitions
- Date
- State
- Disease
- Cases
- Incidence
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 |
state (Categorical) | State | One of 16 states, or Malaysia; data for W.P. Putrajaya is subsumed under W.P. Kuala Lumpur. |
disease (Categorical) | Disease | The type of sexually transmitted disease (STD) |
cases (Integer) | Cases | Number of reported cases, classified based on the date of report |
incidence (Numeric) | Incidence | Incidence rate per 100,000 population in the state |
Last updated:
01 Sept 2024, 12:00
Next update:
N/A
Data source(s)
- Ministry of Health Malaysia
URLs to dataset
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.
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Data
Full Dataset (CSV)
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Full Dataset (Parquet)
Recommended for data scientists seeking to work with data via code.
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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.data.gov.my/healthcare/std_state.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=std_state&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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