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Human Development and HIV: Exploring the Link Through Data Visualization

This project examines the relationship between Human Development Index (HDI) and HIV prevalence, using data visualization techniques. By comparing HDI and HIV rates in various countries, the study aims to analyze the potential correlation between socio-economic factors and the spread of HIV. The research involves motion charts and maps to visualize the data, with a focus on understanding how changes in HDI values may impact HIV incidence rates in different regions. Through observations in selected countries, the study provides insights into the complex interplay between human development and HIV.

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Human Development and HIV: Exploring the Link Through Data Visualization

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  1. Human Development and HIV: Are they related? Data Visualization using Divya Khandekar

  2. The IDEA • Hans Rosling “Let my dataset change your mindset” http://www.gapminder.org/videos/ted-us-state-department/

  3. The IDEA • Compared Human Development Index (HDI) to prevalence of HIV in a country. • HDI is a measure of Human Development or well-being. Combines 3 factors: • Life expectancy at birth • Mean years of schooling and Expected years of schooling • standard of living: GNI per capita (PPP US$)

  4. HDI

  5. The IDEA • HIV has been linked with socio-economic factors - mixed study results. • HDI and HIV- probable co-relation.

  6. Google. Docs 1) MAPS HDI_2009 2) MOTION CHARTS

  7. MOTION CHARTS • Finding data: United Nations Development Programmewebsite, World Data Bank website • Selecting cases (countries): 29 • Selecting a baseline: 1990 • Selecting Variables: • Country name • HDI rank 2011 • HDI (1990,1995,2000,2005,2009) • Prevalence of HIV among adults aged 15 to 49 (%) (1990, 1995, 2000, 2005, 2009) • Number of people infected with HIV • Continent

  8. MOTION CHARTS • Primary hypothesis: An increase in HDI value will cause a relative decrease in the incidence of HIV in adult population.

  9. OBSERVATIONS

  10. OBSERVATIONS

  11. OBSERVATIONS

  12. OBSERVATIONS • Out of the 29 countries selected, 9 showed a correlation between increase in HDI and HIV (8 African countries and 1 Asian) • High HDI vs. Low HDI African countries • Stabilization period • India: Increase in total number of cases but % remains same • Why African counties are different?

  13. THANK YOU

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