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Data from: Application of a Bayesian weighted surveillance approach for detecting chronic wasting disease in white-tailed deer
负责人:
Jennelle, Christopher
关键词:
Bayesian statistics Chronic wasting disease Surveillance Weighted surveillance White-tailed deer risk of infection prevalence
DOI:
doi:10.5061/dryad.v6m2j89
摘要:
SUMMARY 1.Surveillance is critical for the early detection of emerging and re-emerging infectious diseases, and weighted surveillance uses
Data from: Long-term endemism of two highly divergent lineages of the amphibian-killing fungus in the Atlantic Forest of Brazil
负责人:
关键词:
emerging infectious disease;Anura;qPCR;ITS1;Batrachochytrium dendrobatidis;Chytrid;retrospective survey
DOI:
doi:10.5061/dryad.m994g
摘要:
in a region within a particular time frame, because those two disease states provide different predictions for the regional demographic dynamics
Data from: Evolution of pathogenicity traits in the apple scab fungal pathogen in response to the domestication of its host
负责人:
Lê Van, Amandine
关键词:
Agriculture Coevolution Host Parasite Interactions Life History Evolution disease emergence wild crop relatives apple scab
DOI:
doi:10.5061/dryad.6bp470fn
摘要:
Understanding how pathogens emerge is essential to bring disease-causing agents under durable human control. Here, we used cross-pathogenicity tes
Data from: Host-pathogen metapopulation dynamics suggest high elevation refugia for boreal toads
负责人:
关键词:
Amphibian decline;multispecies occupancy;host-pathogen dynamics;Batrachochytrium dendrobatidis;Anaxyrus boreas boreas
DOI:
doi:10.5061/dryad.1c990
摘要:
Emerging infectious diseases are an increasingly common threat to wildlife. Chytridiomycosis, caused by the fungal pathogen
Data from: Integrating regulatory surveys and citizen science to map outbreaks of forest diseases: acute oak decline in England and Wales
负责人:
关键词:
Dispersal;Acute Oak Decline;citizen science;Disease survey
DOI:
doi:10.5061/dryad.18157
摘要:
The number of emerging tree diseases has increased rapidly in recent times, with severe environmental and economic consequences. System
Data from: Subtype diversity and reassortment potential for co-circulating avian influenza viruses at a diversity hot spot
负责人:
关键词:
biological diversity host-pathogen evolution prevalence Simpson's Index
DOI:
doi:10.5061/dryad.nm70b
摘要:
biodiversity may lead to greater risk of disease emergence, the role of pathogen diversity in the emergence process remains poorly understood. Particularly, bec
Data from: Elevated salinity blocks pathogen transmission and improves host survival for a globally pandemic disease: implications for amphibian
负责人:
关键词:
environmental mitigation;disease;translocation;reintroduction;chytridiomycosis;amphibian;Chytrid;Batrachochytrium dendrobatidis;refugia
DOI:
doi:10.5061/dryad.r0904
摘要:
1. Emerging infectious diseases are one of the greatest threats to global biodiversity. Chytridiomycosis in amphibians is perhaps the most extrem
Data from: Elevated salinity blocks pathogen transmission and improves host survival for a globally pandemic disease: implications for amphibian
负责人:
Clulow, Simon
关键词:
disease amphibian chytrid chytridiomycosis environmental mitigation refugia reintroduction translocation
DOI:
doi:10.5061/dryad.r0904.1
摘要:
1. Emerging infectious diseases are one of the greatest threats to global biodiversity. Chytridiomycosis in amphibians is perhaps the most extrem
Data from: Serratia marcescens Shapes Cutaneous Bacterial Communities and Influences Survival of an Amphibian Host
负责人:
关键词:
microbiota;Anthropocene;Acris blanchardi;Serratia marcescens;recombineering;Batrachochytrium dendrobatidis
DOI:
doi:10.5061/dryad.r556n3j
摘要:
is perceived and ameliorated. Of the numerous host-microbiome-disease systems of study, the emergence of chytridiomycosis in anurans (cause
Data from: Revised time scales of RNA virus evolution based on spatial information
负责人:
关键词:
mutational saturation;Puumala virus;emergence dating;Hantavirus;Tula virus;Virus evolution;phylogenetics
DOI:
doi:10.5061/dryad.dc770
摘要:
can thus provide valuable insights on the deeper time scales of pathogen evolution and improve our understanding of disease emergence.

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