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. 2012 Feb 1;86(2):328–334. doi: 10.4269/ajtmh.2012.11-0074

Table 3.

Secondary models to predict the incidence of reported cases and case fatality rate of dengue. Latin America and the Caribbean, 1995–2009*

Variable Incidence model Case fatality rate model
(Pseudo R2 49.87%) (Pseudo R2 48.3%)
Adjusted RR (95% CI) P value Adjusted RR (95% CI) P value
Region
  Brazil Reference Reference
  Central America 0.32 (0.32–0.32) < 0.001 2.78 (2.48–3.11) < 0.001
  Andean subregion 0.37 (0.37–0.37) < 0.001 3.41 (3.06–3.81) < 0.001
  Non-Spanish-speaking  Caribbean 0.15 (0.15–0.15) < 0.001 3.75 (2.66–5.29) < 0.001
   Southern Cone 0.25 (0.25–0.25) < 0.001 6.03 (3.65–9.96) < 0.001
  Spanish-speaking Caribbean 0.13 (0.13–0.13) < 0.001 13.01 (10.19–16.6) < 0.001
Age of endemicity (each 10 years) 1.54 (1.53–1.54) < 0.001 1.99 (1.82–2.17) < 0.001
Population density
  < 20 inhabitants/km2 Reference Reference
  20–120 inhabitants/km2 1.24 (1.24–1.24) < 0.001 2.56 (1.93–3.40) < 0.001
  > 120 inhabitants/km2 1.00 (0.99–1.01) 0.91 2.50 (1.75–3.56) < 0.001
Annual rainfall (per 103 L/m2) 2.11 (2.10–2.11) < 0.001 0.95 (0.85–1.06) 0.35
HDI ≥ 0.83 1.26 (1.26–1.27) < 0.001 0.27 (0.23–0.33) < 0.001
*

This table presents two separate multivariate models: one to predict the dengue incidence rate and another to predict the case fatality rate. In the multivariate analysis, data were available for 7.07×109 population-years, 8,637,372 clinical cases, and 2,775 deaths.

RR = rate ratio; CI = confidence interval; HDI = Human Development Index.