MOESM4 of Effect of rodent density on tick and tick-borne pathogen populations: consequences for infectious disease risk

Additional file 4: Table S1. Daily temperature data from September 2012 to December 2015 collected from the nearest weather station (Deelen, KNMI, the Netherlands). Text S1. Primers and probes for detection of B. microti and S. ixodetis, and qPCR protocol. Table S2. Density of nymphs and number of analyzed nymphs for microorganisms per treatment, month and year. Table S3. Density of rodents and number of analyzed individuals for microorganisms per rodent species, treatment, month and year. Table S4. Prevalences of tick-borne microorganisms in rodents and nymphs. Table S5. All tested models for prediction of density of nymphs (DON), nymphal infection prevalence (NIP), and density of infected nymphs (DIN). Table S6. Full equations for the best fitting models for prediction of density of nymphs (DON), nymphal infection prevalence (NIP), and density of infected nymphs (DIN).