Table 2. Poisson regression analysis of anti-merozoite IgG levels and clinical outcome for non-parasitized Ndiop inhabitants.
NDIOP | Bivariate analysis | Multivariate model | |||||
Category | Subcategory | RR | 95%CI | P | RR | 95%CI | P |
anti-merozoite IgG level | (continous) | 0.999 | 0.9985–0.9995 | <0.001 | 1.000 | 0.9996–1.0004 | NS |
Age (years) | ≥30 | 1 | 1 | (<0.001) | |||
15–29 | 3.632 | 1.349–9.783 | 0.01 | 2.446 | 0.822–7.271 | NS | |
2–14 | 15.925 | 6.484–39.116 | <0.001 | 16.432 | 5.954–45.350 | <0.001 | |
Deviance | 87.8 | ||||||
AIC | 89.8 |
Bivariate and multivariate Poisson regression models were built to analyze the relation between anti-merozoite IgG levels and acute malaria morbidity. The bivariate model includes morbidity and analysis of one variable. The multivariate model includes morbidity and other variables such as age and IgG levels, where the impact of the different variables is analyzed together. The P value in parenthesis refers to the overall impact of age on the multivariate model. (NS: non significant.)