Additional file 1: of Landscape structure affects the prevalence and distribution of a tick-borne zoonotic pathogen

Autor: Millins, Caroline, Dickinson, Eleanor, Isakovic, Petra, Gilbert, Lucy, Wojciechowska, Agnieszka, Paterson, Victoria, Tao, Feng, Jahn, Martin, Kilbride, Elizabeth, Birtles, Richard, Johnson, Paul, Biek, Roman
Rok vydání: 2018
DOI: 10.6084/m9.figshare.7422371.v1
Popis: Text S1. Description of deer dung transect and deer survey methodology used to estimate deer density at Loch Lomond and the Trossachs National Park. Text S2. Methodology to collect nymph density data and to carry out analysis of data collected on islands and mainland sites at Loch Lomond and the Trossachs National Park. Table S1. Counts of selected bird species at study sites from a point transect study carried out in summer 2015. Table S2. Estimates of deer density at mainland and island sites (Locations of sites shown in Fig. 1) at Loch Lomond and the Trossachs National Park. Deer density was estimated using two methods described in Text S1. These methods were: counts of deer carried out on island sites only (Deer survey 2008 & 2012), an estimate of density calculated from deer dung counts along transects spaced at 200 m through each of the study sites carried out in 2015 (Dung Transects). Table S3. Numbers of nymphs tested for Borrelia burgdorferi (sensu lato) at each site, density of nymphs (Nymphs/10 m2), overall prevalence (Prev %) of B. burgdorferi (s.l.) and 95% CI, and the prevalence of each genospecies: B. garinii (B.g); B. afzelii (B.a), Borrelia valaisiana (B.v); Borrelia burgdorferi (sensu stricto) (B.ss) and the number of infected nymphs (n). p(non-detect) represents the probability of failing to detect infected ticks in a given island sample with an estimated prevalence of 0%, assuming an expected B. burgdorferi (s.l.) prevalence of 2.5% (as estimated for the mainland). Asterisks indicate cases for which the calculated probability was lower than 0.05. Table S4. Best model explaining questing nymphal tick variation among eleven island and 5 mainland sites in 2013 using a Poisson Generalised Linear Mixed Model. The best-fit model included vegetation type at the site of the blanket drag. Delta AICc indicates the change in AICc after removing each variable from the best-fit model. (DOCX 53 kb)
Databáze: OpenAIRE