From: Reaching the malaria elimination goal in Brazil: a spatial analysis and time-series study
Municipality | Parameter (ar)a | Estimate | P | Interpretation |
---|---|---|---|---|
Cluster 1 | ||||
Cruzeiro do Sul | \({\phi }_{1}\) | 0.04 | 0.64 | Decreasing |
\({\phi }_{2}\) | 0.05 | 0.54 | ||
\({\phi }_{3}\) | − 0.27 |  < 0.001 | ||
Mâncio Lima | \({\phi }_{1}\) | 1.71 |  < 0.001 | Decreasing |
\({\phi }_{2}\) | − 0.92 |  < 0.001 |  | |
Rodrigues Alves | \({\phi }_{1}\) | 0.67 |  < 0.001 | Increasing |
Guajará | \({\phi }_{1}\) | 0.72 |  < 0.001 | Increasing |
Ipixuna | \({\phi }_{1}\) | 0.62 |  < 0.001 | Increasing |
Cluster 2 | ||||
Lábrea | \({\phi }_{1}\) | 0.78 |  < 0.001 | Increasing |
Cluster 3 | ||||
Coari | \({\phi }_{1}\) | 0.89 |  < 0.001 | Increasing |
Cluster 4 | ||||
Manaus | \({\phi }_{1}\) | 0.68 |  < 0.001 | Increasing |
Rio Preto da Eva | \({\phi }_{1}\) | 0.50 |  < 0.05 | Decreasing |
\({\phi }_{2}\) | − 0.77 |  < 0.001 | ||
Cluster 5 | ||||
Bagre | \({\phi }_{1}\) | 0.84 |  < 0.001 | Increasing |
Oeiras do Pará | \({\phi }_{1}\) | Absent | Absent | Stable |
Cluster 6 | ||||
Barcelos | \({\phi }_{1}\) | 0.59 |  < 0.001 | Increasing |
Santa Isabel do Rio Negro | \({\phi }_{1}\) | 0.45 |  < 0.05 | Increasing |