Fig 1.
(A) kernel density estimate and point location of Lyme cases and (B) spatial distribution of incidence rates across the Netherlands. Hotpots or clusters of municipalities with increased incidences as identified using the Local Indicators of Spatial Autocorrelation (LISA) analysis are indicated.
Fig 2.
Correlogram showing the spatial auto-correlation of leptospirosis incidence rates.
(A) before and (B) after fitting the multivariate model (e.g. residual variation) between municipalities over incremental distances. Lag orders correspond to the order of municipality adjacency ranging from 1st to 15th order neighboring municipalities.
Table 1.
Overview of the univariate and multivariate effects of environmental predictors to estimate the observed incidence of leptospirosis fitting a spatial auto regression model (SAR) to the data.
Fig 3.
Leptospirosis disease maps of the Netherlands.
(A) the estimated leptospirosis incidence and (B) residual variation after fitting the multivariate model to the data.