Table 2.
Results of ordinary least squares regression analysis of correlates of HIV prevalence in log10 (per 100 000).
| Variable | log10 HIV prevalence and 95% confidence interval |
| Percentage reporting that they are aware that condoms are effective in reducing the risk of HIV (log) | −1.49∗ (−3.27 to 0.29) |
| Percentage reporting that they know where to obtain a test for HIV (log) | 0.54 (−0.77 to 1.86) |
| Percentage reporting that they believe that HIV can be transmitted by sharing food utensils (log) | 0.34 (−0.69 to 1.37) |
| Gross regional product (GRP) per capita, (log) | 0.52∗∗ (0.03–1.01) |
| Total patients with drug addiction, per 100 000 people (log) | 0.39∗∗ (0.06–0.73) |
| Intercept | −46.92∗∗ (−85.08 to −8.76) |
| Number of observations | 81 |
| F test | P value = 0.0001 |
| R 2 | 0.36 |
The full table also includes the following information: GRP per capita growth, population density (per square km), the fraction of the population living in an urban setting, doctors per 10 000 persons, nurses per 10 000 persons, hospital beds per 10 000 persons, female to male ratio, and poverty rate (all in log form; Appendix Table A3); ∗∗P less than 0.05, and ∗P less than 0.10. The values reported above are parameter estimates based on the results of regression analyses. All models were estimated with robust standard errors (SE). The tables also report the 95% confidence intervals. Sources: Rosstat, Federal AIDS Center, and authors’ estimates.