METEOR

Meta-analysis Tool for Exploring antimicrobial resistance Outcomes across Realms

METEOR is an R package designed for meta-analysis of antimicrobial resistance (AMR) data across different domains: human, animal, and environment. The package provides tools for data import, validation, analysis, visualization, and reporting.

Features

• Import AMR data from various file formats (CSV, Excel, RData)
• Validate and standardize data for meta-analysis
• Perform meta-analysis with various methods and options
• Create static and interactive visualizations
• Analyze heterogeneity and publication bias
• Compare data across different domains (One Health approach)
• Interactive exploration via a Shiny application

Installation

You can install the development version of meteor from GitHub with:

# install.packages("devtools")
devtools::install_github("ChaokunHong/meteor")

Example

Basic usage example:

library(meteor)

# Import data
amr_data <- import_amr_data("path/to/data.csv")

# Validate and standardize data
validated_data <- validate_data(amr_data, domain = "human")
std_data <- standardize_amr_data(validated_data, domain = "human")

# Perform meta-analysis
meta_results <- calculate_pooled_rate(
  std_data,
  by = c("pathogen", "antibiotic"),
  method = "random"
)

# Create forest plot
create_forest_plot(meta_results)

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

For questions or feedback, please contact: chaokun.hong@gmail.com

Acknowledgments

• World Health Organization (WHO) for guidance on AMR monitoring
• R meta-analysis community and package developers