Mercy-OG/HIV-in-Akwa-Ibom-Analysis-with-R

I built a synthetic HIV dataset (500 participants, 81 variables) modeling adolescent and young women in rural Nigeria. I created it using R using AKAIS 2017 and NDHS 2018 data, it supports analysis, modeling, and public health research where real data is limited. # HIV-in-Akwa-Ibom-Analysis-with-R I built a synthetic HIV dataset (500 participants, 81 variables) modeling adolescent and young women in rural Nigeria. I created it using R using AKAIS 2017 and NDHS 2018 data, it supports analysis, modeling, and public health research where real data is limited. Overview This project generates a synthetic (computer-simulated) dataset for HIV research in rural Akwa Ibom State, Nigeria. The data is NOT from real people, but the patterns and probabilities are based on actual research findings from: AKAIS 2017 - Akwa Ibom AIDS Indicator Survey (1,818 adolescents) NDHS 2018 - Nigeria Demographic and Health Survey (1,068 sexually active youth) Installation bash# Clone this repository git clone github.com # Navigate to the directory cd akwa-ibom-hiv-dataset Generate Your Dataset (3 Steps) Open R or RStudio Run the script: r source("generate_hiv_dataset.R") Export Your Data r# Save as CSV (for Excel, SPSS, Stata) write.csv(hiv_data, 'my_hiv_dataset.csv', row.names = FALSE) # Save as RDS (for R) saveRDS(hiv_data, 'my_hiv_dataset.rds') Dataset Details The Basics FeatureDetailsSample Size500 participantsLocation2 rural LGAs (Ika, Ibiono Ibom)Age Range15-24 yearsGenderFemaleVariables81 total (75 primary + 6 derived)FormatR data frame, exportable to CSV/SPSS/Stata What's Inside The dataset covers all major areas of HIV research: 1. Demographics (8 variables) Age, education, marital status, occupation, income, religion, household size 2. HIV Knowledge (10 variables) Transmission knowledge Prevention knowledge Misconceptions (mosquitoes, food sharing, witchcraft) Finding: Only ~2% have comprehensive HIV knowledge (matches literature: 9.4%) 3. HIV Testing (5 variables) Testing history and frequency Status awareness Willingness to test Finding: ~29% ever tested (low coverage) 5. Sexual Behavior & Risk (9 variables) Sexual activity Age at sexual debut Number of partners Condo …