HIViz: Interactive Dashboard for 'HIV' Data Visualization (original) (raw)

An interactive 'Shiny' dashboard for visualizing and exploring key metrics related to HIV/AIDS, including prevalence, incidence, mortality, and treatment coverage. The dashboard is designed to work with a dataset containing specific columns with standardized names. These columns must be present in the input data for the app to function properly: year: Numeric year of the data (e.g. 2010, 2021); sex: Gender classification (e.g. Male, Female); age_group: Age bracket (e.g. 15–24, 25–34); hiv_prevalence: Estimated HIV prevalence percentage; hiv_incidence: Number of new HIV cases per year; aids_deaths: Total AIDS-related deaths; plhiv: Estimated number of people living with HIV; art_coverage: Percentage receiving antiretroviral therapy (ART); testing_coverage: HIV testing services coverage; causes: Description of likely HIV transmission cause (e.g. unprotected sex, drug use). The dataset structure must strictly follow this column naming convention for the dashboard to render correctly.

Version: 0.1.2
Depends: R (≥ 3.5.0)
Imports: shiny (≥ 1.7.0), shinydashboard, readxl, haven, dplyr, DT, ggplot2, plotly, tidyr, wordcloud, ggrepel, paletteer, shinyWidgets, tools
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2025-07-23
DOI: 10.32614/CRAN.package.HIViz
Author: Atefeh Rashidi PourORCID iD [aut, cre], Marzieh RashidipourORCID iD [aut]
Maintainer: Atefeh Rashidi Pour
BugReports: https://github.com/Atefehrashidi/HIViz/issues
License: GPL-3
URL: https://github.com/Atefehrashidi/HIViz
NeedsCompilation: no
Materials: README
CRAN checks: HIViz results

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