9 research outputs found
Additional file 1: of Spatial prediction and validation of zoonotic hazard through micro-habitat properties: where does Puumala hantavirus hole – up?
Description of micro-habitat variables estimated in field and used in the statistical models. Data type: Text and table. (DOCX 37Â kb
Relationship between annual (July–June) nephropathia epidemica incidence (NE) (log-transformed) in Northern Sweden and bank vole autumn density (number of trapped individuals per 100 trap nights) (arcsine transformed) during a) increase and peak years (n = 13) and b) decrease and low years (n = 11) of the vole cycles in 1990–2012.
<p>Relationship between annual (July–June) nephropathia epidemica incidence (NE) (log-transformed) in Northern Sweden and bank vole autumn density (number of trapped individuals per 100 trap nights) (arcsine transformed) during a) increase and peak years (n = 13) and b) decrease and low years (n = 11) of the vole cycles in 1990–2012.</p
The relationship between proportion of occupied 1-ha plots (arcsine-transformed) (total number  = 58) and autumn bank vole density (number of trapped individuals per 100 trap nights) (arcsine-transformed) in 1971–2012 during the four phases of the vole cycle.
<p>The relationship between proportion of occupied 1-ha plots (arcsine-transformed) (total number  = 58) and autumn bank vole density (number of trapped individuals per 100 trap nights) (arcsine-transformed) in 1971–2012 during the four phases of the vole cycle.</p
Relationship between annual (July–June) nephropathia epidemica (NE) incidence (log-transformed) in N. Sweden and bank vole autumn density in 1990–2012 (arcsine transformed).
<p>The size of circles is proportional to the number of rainy days in winter. Both vole density and number of rainy days were significant predictors of NE incidence (p<0.001 and p<0.05, respectively, n = 24).</p