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Hungarian Chickenpox Spatio-Temporal Data
Data Science and Analytics
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About
Presents a spatio-temporal record of weekly reported chickenpox cases across various counties in Hungary. The collection spans a decade, capturing time series data on the spread of this childhood disease between 2005 and 2015. This resource is designed for studying epidemiological trends, spatial dynamics, and building forecasting models related to infectious disease incidence. The dataset also includes a county-level adjacency matrix for advanced geographical analysis.
Columns
The dataset contains 21 distinct columns, typically found in a CSV file format:
- Date: The weekly date for which the case counts are reported. This column has 522 unique values, reflecting the time period covered.
- County Case Counts (20 Columns): These columns correspond to reported case totals for 20 specific Hungarian counties (e.g., BUDAPEST, BARANYA, BACS, BEKES, BORSOD, CSONGRAD, FEJER, GYOR, HAJDU, HEVES, JASZ, KOMAROM, NOGRAD, PEST, SOMOGY, SZABOLCS, TOLNA, VAS, VESZPREM, ZALA). Case counts range widely depending on the county and week.
Distribution
This collection is typically available as a single data file, often structured as a CSV, weighing approximately 35.07 kB. It is structured as a time series and tabular dataset. The data set consists of 522 total valid records (rows) across 21 columns, with no missing values observed in the records provided. The data is static, with an expected update frequency of "Never."
Usage
This data product is exceptionally useful for applications requiring epidemiological forecasting and time series analysis. Ideal use cases include:
- Developing predictive models for county level case count prediction.
- Building systems for nation level case count prediction.
- Geospatial analysis to understand the spread and dynamics of the disease across different Hungarian regions.
- Educational research on disease modelling and time series forecasting techniques.
Coverage
The dataset offers detailed geographical coverage of Hungary, featuring case counts disaggregated by county. The temporal scope ranges from 2005 through 2015, detailing weekly reported cases. The subject matter relates specifically to the incidence of chickenpox, a common childhood disease.
License
CC0: Public Domain
Who Can Use It
This material is suited for several groups:
- Epidemiologists: For researching disease patterns, seasonality, and spatial autocorrelation.
- Data Scientists/Machine Learning Engineers: For training and evaluating spatio-temporal prediction models.
- Academics and Students: For educational purposes, particularly in fields like data science, geography, and public health.
- Public Health Officials: For reference and simulation of disease control strategies.
Dataset Name Suggestions
- Hungarian Chickenpox Spatio-Temporal Data
- Weekly Chickenpox Cases in Hungary (2005-2015)
- County-Level Hungarian Chickenpox Tracker
Attributes
Original Data Source: Hungarian Chickenpox Spatio-Temporal Data
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