The role of ENSO in understanding changes in Colombia's annual malaria burden by region, 1960–2006

Malaria Journal

Table 6 Results of Poisson Regression Model: PRM; Negative Binomial Regression Model: NBRM.

Colombia's Total Malaria Cases Models: Mal_Tot. Yearly data 1960–2006.
Nobs: Number of observations available for the model;
DF: Degrees of Freedom; BLT: Some or all of Base Line Trends (including vextre)
Test: Wald Test, W, LR; High value or number of stars means reject in favor of the last model used in the test, [];
S: Significance: P-value ≤ 0.01: ***; 0.01 < P-value ≤0.05: **; 0.05 ≤ P-value < 0.10: *; P-value > 0.1 (NS)
♣: All confidence intervals at 95% confidence of the dispersion parameter do not include zero inside their boundaries
Coefficients and their approximate statistical significances are shown for both Poisson (PRM) and Negative Regression Binomial (NBRM) models, each for either of the two ENSO indices (ENSO_Avg and ENSO_Dom).

ISSN: 1475-2875