Data and Code Repository for the Article [ARTICLE TITLE]

This repository contains the data and analysis code for the article titled "[ARTICLE TITLE]" submitted to the Cureus journal.

Repository Structure

• /data: Contains the dataset used in the analysis.
  • FraturasCorrigido.csv: The processed dataset.
  • Fraturas.csv: Raw dataset extracted from DATASUS (generated by the R script).
• /scripts: Contains the extraction and analysis scripts.
  • extracao_microdatasus.R: R script to extract and preprocess data from SIH-DATASUS.
  • analise.py: Python script to perform the descriptive analysis and generate the plots.
• /documents: Contains supplementary documents.
  • ResultadosDaAnaliseArtigo.pdf: PDF with the detailed results of the analysis.
  • document.pdf: Article manuscript.
  • Código inicial de analise 20b1cce9e5718010aafeedd9b99b64b7.md: Original analysis code.
  • Differential Mortality Risk and Healthcare Costs Associated with Fragility Fracture Types.docx: Article manuscript (DOCX format).

How to Reproduce the Analysis

Prerequisites

• Python 3.8 or higher.
• R 4.0 or higher (only if you wish to run the data extraction from DATASUS).
• The Python libraries listed in the requirements.txt file.
• R packages: microdatasus, dplyr, readr (for extraction only).

Execution Steps

1. Clone the repository:

   bash git clone https://github.com/WelCode99/CureusArticleFractures.git cd CureusArticleFractures

2. For Python analysis:

   a. Create and activate a virtual environment (highly recommended):

   ```bash

   For macOS/Linux

   python3 -m venv venv source venv/bin/activate

   For Windows

   python -m venv venv .\venv\Scripts\activate ```

   b. Install the dependencies:

   bash pip install -r requirements.txt

   c. Run the analysis script:

   bash python scripts/analise.py

   The plots generated by the analysis will be displayed on the screen during the script's execution.

3. For data extraction from DATASUS (optional):

   This step is only necessary if you wish to recreate the dataset from the original sources.

   ```bash

   In R or RStudio

   Rscript scripts/extracao_microdatasus.R ```

   Note: This process can take several hours, depending on your internet connection, as it downloads and processes data for 60 months (2019-2023).

Data Citation

If you use this data or code in your research, please cite the original article (once published) and this data repository.

Article Citation:

Author(s). (Year). Article Title. Cureus. DOI: [DOI_TO_BE_ASSIGNED]

Data Repository Citation:

Author(s). (Year). Data and Code for: "Article Title" [Data and software repository]. Zenodo. DOI: 10.5281/zenodo.15650904

License

The code in this repository is under the MIT license. The data is available under the Creative Commons Attribution 4.0 International (CC-BY-4.0) license. See the LICENSE file for more details.