Previous versions of the Supporting Information files S1, S2 and S3 Figs, S1 and S2 Tables were published in error. The publisher apologizes for the errors. Please see the correct Supporting Information files below.
Cross-wavelet coherence analysis of monthly dengue incidence rates and local climate variables with different ENSO indices.
(a-c) Multivariate ENSO Index (MEI) vs. dengue, minimum temperature, and precipitation. (d-f) NINO 1+2 Index vs. dengue, minimum temperature, and precipitation. (g-i) NINO 3 Index vs. dengue, minimum temperature, and precipitation. (j-l) NINO 4 Index vs. dengue, minimum temperature, and precipitation. The cross-wavelet coherence scale is from 0 (blue) to 1 (red). The cone of influence (results are not influenced by the data edges) and the significantly coherent time-frequency regions (p < 0.05) are indicated by solid black lines.(TIF)Click here for additional data file.
Autocorrelation function (ACF) and partial autocorrelation function (PACF) of dengue time-series data from 1998 to 2015.
The dotted blue lines indicate a significant level. The lag refers to the number of weeks.(JPEG)Click here for additional data file.
Autocorrelation function (ACF) and partial autocorrelation function (PACF) of the residual.
The autoregressive terms (lag = 5) were included to adjust for seasonality and autocorrelation in the model. The dotted blue lines indicate a significant level. The lag refers to the number of weeks.(TIFF)Click here for additional data file.
Model comparison results of seasonal adjustment.
(PDF)Click here for additional data file.
Annual meteorological parameters in southern Taiwan from 1998 to 2015.