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Longitudinal Study of Child Diarrhoea and Malaria Rates
Data Science and Analytics
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About
Provides essential statistics on Child Malaria and Diarrhoea across various regions and countries, tracking data points collected between 1999 and 2024. The information originates from the UNICEF Data Warehouse and is a critical resource for understanding global child health trends and the incidence of these diseases over time. The data includes details stratified by geography, income group, and specific indicators, enabling detailed comparative analysis of health outcomes. The expected update frequency for this material is annually.
Columns
The primary child dataset consists of 16 columns. Key fields include:
- ISO Code / Country name: Geographic identification for the data points (135 unique country names recorded).
- UNICEF Reporting Region / UNICEF Programme Region: Categorical fields defining the regional grouping used by UNICEF.
- World Bank Income Group (2024): Classification of the country by income type, such as Lower middle income or Low income.
- Year(s) of data collection: The specific year the data was collected, spanning 56 unique years within the overall timeframe.
- Short Source / Long Source: Descriptions of the data collection method or report (e.g., Multiple Indicator Cluster Survey).
- Indicator: Identification codes (such as DIARCARE) detailing the specific health metric being measured.
- Stratifier / Level: Fields used to segment the data (e.g., WIQ, National, Rural).
- Value: The measured health percentage or rate, ranging from 0 to 100.
Distribution
The dataset, which is suitable for distribution as a CSV file, is currently 5 MB in size. The main child data table contains 32,361 rows and 16 distinct columns. The data values represent statistics on indicators, mostly spanning a value range between 0 and 100.
Usage
This dataset is ideally suited for time series analysis focused on public health trends. It facilitates data visualization projects tracking the success or failure of child health interventions. Potential applications include exploratory data analysis for researchers, health policy planning, and generating data storytelling narratives related to childhood disease eradication efforts globally.
Coverage
The data covers global scope, including numerous countries and areas (over 130 unique entities). Regional coverage is significant in areas such as West and Central Africa and Eastern and Southern Africa. The temporal range is 1999 through to 2024. Data points are stratified by geography, year of collection, and World Bank income group classification.
License
CC0: Public Domain
Who Can Use It
- Public Health Researchers: To analyse correlations between income level and disease prevalence.
- Non-Governmental Organisations (NGOs): To benchmark program impact and target funding efforts.
- Government Policy Makers: To inform national health strategies regarding diarrhoeal disease and malaria prevention.
- Data Scientists: For developing predictive models related to health indicator changes over time.
Dataset Name Suggestions
- UNICEF Global Child Health Indicators: Malaria and Diarrhoea (1999–2024)
- Longitudinal Study of Child Diarrhoea and Malaria Rates
- UNICEF Data Warehouse: Child Health Metrics
Attributes
Original Data Source:Longitudinal Study of Child Diarrhoea and Malaria Rates
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