Results of the global OLS model.

<p>Significance levels: * <0.05, ** <0.01. ***<0.001.</p

Possible explanatory variables.

<p>Possible explanatory variables.</p

Evaluated combinations of kernel function, bandwidth type and optimization method for COPD.

<p>Significance levels: * <0.05, ** <0.01. ***<0.001.</p

Demographic composition of the AOK Nordost insurants in 2012.

<p>Demographic composition of the AOK Nordost insurants in 2012.</p

GWR regression coefficients of COPD.

<p>GWR regression coefficients of COPD.</p

Is the current pertussis incidence only the results of testing? A spatial and space-time analysis of pertussis surveillance data using cluster detection methods and geographically weighted regression modelling - Fig 1

<p>Spatial distribution of a) pertussis testing, b) incidence and c) test-positivity, 2007–2013.</p

Poisson regression models for pertussis testing, stratified by age.

<p>Significance levels: * = 0.05; ** = 0.01; *** = 0.001. Only significant predictors are reported.</p

Significant clusters with high HCV risk as determined by the spatial scan statistic.

<p>Significant clusters with high HCV risk as determined by the spatial scan statistic.</p

Rates of testing, test positivity and population incidence.

<p>SD = standard deviation.</p

Comparison of global and local models.

<p>Comparison of global and local models.</p