Modelling the seasonality of Lyme disease risk and the potential impacts of a warming climate within the heterogeneous landscapes of Scotland.
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REVIEW: Dynamic, spatial models of parasite transmission in wildlife: their structure, applications, and remaining challenges.Lifestyle, habitat and farmers' risk of exposure to tick bites in an endemic area of tick-borne diseases in Hungary.Ticks and bacterial tick-borne pathogens in Piemonte region, Northwest Italy.Emergence of tick-borne diseases at northern latitudes in Europe: a comparative approach.Model-based risk assessment and public health analysis to prevent Lyme disease.Tick abundance, pathogen prevalence, and disease incidence in two contrasting regions at the northern distribution range of Europe.
P2860
Modelling the seasonality of Lyme disease risk and the potential impacts of a warming climate within the heterogeneous landscapes of Scotland.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Modelling the seasonality of L ...... eneous landscapes of Scotland.
@ast
Modelling the seasonality of L ...... eneous landscapes of Scotland.
@en
type
label
Modelling the seasonality of L ...... eneous landscapes of Scotland.
@ast
Modelling the seasonality of L ...... eneous landscapes of Scotland.
@en
prefLabel
Modelling the seasonality of L ...... eneous landscapes of Scotland.
@ast
Modelling the seasonality of L ...... eneous landscapes of Scotland.
@en
P2093
P2860
P921
P356
P1476
Modelling the seasonality of L ...... eneous landscapes of Scotland.
@en
P2093
Lucy Gilbert
Mark D A Rounsevell
Paula A Harrison
P2860
P356
10.1098/RSIF.2016.0140
P50
P577
2016-03-01T00:00:00Z