| Literature DB >> 17958469 |
Peter Piot1, Robert Greener, Sarah Russell.
Abstract
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Year: 2007 PMID: 17958469 PMCID: PMC2039763 DOI: 10.1371/journal.pmed.0040314
Source DB: PubMed Journal: PLoS Med ISSN: 1549-1277 Impact factor: 11.069
HIV Prevalence by Wealth Quintile in Eight African Countries (Percentage of Adult Population)
Figure 1HIV Prevalence and Income Inequality in Africa
The Gini coefficient has a value between 0 and 1, representing the extremes of income distribution. A zero value corresponds to the situation where everyone in the population has exactly the same income, whereas a value of 1 would correspond to extreme concentration of income in one person. A high value indicates a more unequal income distribution. Note that Figure 1 uses data from only one year and therefore cannot show any dynamic relationship between changes in income inequality (which are slow), and changes in HIV prevalence.
HIV-Related Labor Costs