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📊 HIViz

An R package for interactive visualization and exploration of key HIV/AIDS indicators, including prevalence, incidence, mortality, and treatment coverage, via a Shiny dashboard.

📁 Required Dataset Structure

The input dataset must include the following columns with exact names:

• country: (e.g., Iran, Spain)
• year: Numeric year (e.g., 2010, 2021)
• sex: Gender classification (e.g., Male, Female)
• age_group: Age brackets (e.g., 15–24, 25–34)
• hiv_prevalence: Estimated HIV prevalence (%)
• hiv_incidence: Number of new HIV cases
• aids_deaths: AIDS-related deaths
• plhiv: People living with HIV
• art_coverage: ART (antiretroviral therapy) coverage rate
• testing_coverage: HIV testing coverage (%)
• causes: Categorical variable describing cause of transmission (e.g., unprotected sex, drug use, mother-to-child)

All column names must be spelled exactly as listed. The causes column should contain clear, human-readable labels for transmission modes.

Installation

The development version of the ‘HIViz’ package is available for installation. You can install it from Github using:

# install.packages("remotes")
remotes::install_github("AtefehRashidi/HIViz")

Installation

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

# install pak if not installed:
install.packages("pak")

# then install HIViz from GitHub:
pak::pak("AtefehRashidi/HIViz")

Then run the Shiny App with:

HIViz::launchApp()

You can test the dashboard with the built-in sample_data.

🤝 Contributing

Issues and pull requests are welcome. Please open an issue to report bugs or suggest enhancements.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.