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Data from: Initiation of Batrachochytrium dendrobatidis infection in the absence of physical contact with infected hosts – a field study
负责人:
关键词:
lentic system;Alytes obstetricans;Infection dynamics
DOI:
doi:10.5061/dryad.20h6m
摘要:
Understanding transmission is a critical prerequisite for predicting disease dynamics and impacts on host populations. It is well established tha
Data from: Epidemiological models to control the spread of information in marine mammals
负责人:
Schakner, Zachary
关键词:
Human-wildlife conflict social transmission culling salmon conservation
DOI:
doi:10.5061/dryad.6fq75
摘要:
d diffusion analysis on a long-term dataset to demonstrate that social transmission is implicated in the increase in dam-foraging behaviour and then studied different
Data from: Simulating the transmission of foot-and-mouth disease among mobile herds in the Far North Region, Cameroon
负责人:
University Of Konstanz
关键词:
cattle common-pool resources GPS tracking Homo sapiens infectious disease livestock pastoralism transhumance
DOI:
doi:10.5441/001/1.61896g63
摘要:
the transmission of infectious diseases. Modeling such impacts presents a significant challenge to disease transmission models because these models often ass
Data from: The index case is not enough: variation among individuals, groups, and social networks modify bacterial transmission dynamics
负责人:
Keiser, Carl
关键词:
Index case Social spider Social network Transmission heterogeneity Trait variation
DOI:
doi:10.5061/dryad.47p7c
摘要:
jectory of transmission dynamics. However, these dynamics likely also depend on the traits of the individuals with whom the index case interacts. 2.We use
Data from: Behavioural phenotypes predict disease susceptibility and infectiousness
负责人:
Warne, Robin W.
关键词:
Behavioural Phenotypes Super-spreader Ranavirus Amphibian Epidemiology Pace of life
DOI:
doi:10.5061/dryad.sd6jq
摘要:
pecifics and their environment. We tested the value of behavioural phenotypes in larval amphibians for predicting ranavirus transmission in experimental trials
Data from: Virulence-driven trade-offs in disease transmission: a meta-analysis
负责人:
关键词:
replication;IPD meta-analysis;transmission;trade-off hypothesis;Virulence;host-pathogen;host-parasite
DOI:
doi:10.5061/dryad.sr182r0
摘要:
associated with replication ultimately results in a deceleration in transmission rate because increasing within-host replication increases host mortality
Data from: Infection-induced behavioural changes reduce connectivity and the potential for disease spread in wild mice contact networks
负责人:
关键词:
animal behavior disease transmission social networks wild mice experimental infection
DOI:
doi:10.5061/dryad.nk1b8
摘要:
ny infectious diseases are transmitted through social contact, social connectivity changes can impact transmission dynamics. Previous approaches to understandi
Data from: Individual differences in boldness influence patterns of social interactions and the transmission of cuticular bacteria among group-mates
负责人:
关键词:
Bacterial transmission;Social spider;Stegodyphus dumicola;social network;Transmission heterogeneity;assortativity;boldness
DOI:
doi:10.5061/dryad.60nn7
摘要:
nated silk took place in only 15% of cases. Thus, bodily contact appears key to transmission in this system. These data represent a fundamental step towards
Data from: Do scavengers prevent or promote disease transmission? The effect of invertebrate scavenging on Ranavirus transmission
负责人:
关键词:
Ambystoma macrodactylum;Scavenging;transmission;Frog Virus 3;functional response;ranavirus;Dytiscidae;Necrophagy;Amphibian pathogen;carcass
DOI:
doi:10.5061/dryad.3sg4g82
摘要:
e wildlife diseases. 2. A robust scavenger community can quickly remove carcasses and tissue and thus prevent secondary transmission by necrophagy or contact
Data from: Evolution of virulence in heterogeneous host communities under multiple trade-offs
负责人:
关键词:
basic reproductive rate;pathogens;ESS;pairwise invasion plot;Adaptive dynamics;dilution effect
DOI:
doi:10.5061/dryad.mm46r
摘要:
e defined as disease-induced mortality) and transmission can vary during the infectious period within hosts of different state. Most models

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