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HIViz  

Interactive Dashboard for 'HIV' Data Visualization
View on CRAN: Click here


Download and install HIViz package within the R console
Install from CRAN:
install.packages("HIViz")

Install from Github:
library("remotes")
install_github("cran/HIViz")

Install by package version:
library("remotes")
install_version("HIViz", "0.1.2")



Attach the package and use:
library("HIViz")
Maintained by
Atefeh Rashidi Pour
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-07-23
Latest Update: 2025-07-23
Description:
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.
How to cite:
Atefeh Rashidi Pour (2025). HIViz: Interactive Dashboard for 'HIV' Data Visualization. R package version 0.1.2, https://cran.r-project.org/web/packages/HIViz. Accessed 09 Mar. 2026.
Previous versions and publish date:
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Complete documentation for HIViz
Functions, R codes and Examples using the HIViz R package
Full HIViz package functions and examples
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