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  "Package": "HIViz",
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  "Title": "Interactive Dashboard for 'HIV' Data Visualization",
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  "Authors@R": "c(\nperson(\"Atefeh\", \"Rashidi Pour\",\nemail = \"rashidiatefeh98@gmail.com\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0009-0002-3834-3183\")),\nperson(\"Marzieh\", \"Rashidipour\",\nemail = \"marzyeh.rashidi@gmail.com\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0003-4024-765X\")))",
  "Description": "An interactive 'Shiny' dashboard for visualizing and\nexploring key metrics related to HIV/AIDS, including\nprevalence, incidence, mortality, and treatment coverage. The\ndashboard is designed to work with a dataset containing\nspecific columns with standardized names. These columns must be\npresent in the input data for the app to function properly:\nyear: Numeric year of the data (e.g. 2010, 2021); sex: Gender\nclassification (e.g. Male, Female); age_group: Age bracket\n(e.g. 15–24, 25–34); hiv_prevalence: Estimated HIV prevalence\npercentage; hiv_incidence: Number of new HIV cases per year;\naids_deaths: Total AIDS-related deaths; plhiv: Estimated number\nof people living with HIV; art_coverage: Percentage receiving\nantiretroviral therapy (ART); testing_coverage: HIV testing\nservices coverage; causes: Description of likely HIV\ntransmission cause (e.g. unprotected sex, drug use). The\ndataset structure must strictly follow this column naming\nconvention for the dashboard to render correctly.",
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  "Date/Publication": "2025-11-20 06:23:03 UTC",
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