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Data from: Interactions among symbionts operate across scales to influence parasite epidemics
负责人:
关键词:
Colletotrichum cereale;Epichlo? coenophiala;Puccinia coronata;biotic interactions;Rhizoctonia solani;priority effects;competition;Endophyte;disease ecology;Lolium arundinaceum;coinfection
DOI:
doi:10.5061/dryad.8h007
摘要:
. Together, these results indicate that parasite phenology can influence parasite epidemics by altering the sequence of infection and interactions amo
Data from: Phenotype-environment matching predicts both positive and negative effects of intraspecific variation
负责人:
关键词:
Metschnikowia bicuspidata;Ecology: community;Ecology: population;selection;epidemic;Daphnia pulex;individual variation;disease dynamics;eco-evolutionary feedbacks;3 month
DOI:
doi:10.5061/dryad.99k4n5s
摘要:
ller disease epidemics), but only when the population’s initial phenotype was poorly-matched to the local environment. When phenotypes were initially well-suited
Data from: Risk factors for respiratory illness in a community of wild chimpanzees (Pan troglodytes schweinfurthii)
负责人:
关键词:
apes;Epidemiology;disease;Pan troglodytes schweinfurthii;health;Aging;human-wildlife interaction
DOI:
doi:10.5061/dryad.1m004jc
摘要:
of respiratory illness in the chimpanzees did not track seasonal rates of disease in the nearby village. Our data indicate that the epidemiology of chimpanzee
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:
antially reduced the extent of behavioural transmission and, ultimately, resulted in fewer animals being culled. Epidemiological analyses offer a promising tool
Enzootic situation and molecular epidemiology of Brucella<\/i> in livestock from 2011 to 2015 in Qingyang, China
负责人:
关键词:
59999 Environmental Sciences not elsewhere classified Ecology 69999 Biological Sciences not elsewhere classified Cancer
DOI:
doi:10.6084/m9.figshare.7937081.v1
摘要:
ted to isolates from China and India. The results of serum epidemiology confirmed that the region of northern Qingyang was a critical Brucella epidemic area
Data from: Occurrence and phylogenetic analysis of bovine respiratory syncytial virus in outbreaks of respiratory disease in Norway
负责人:
关键词:
Phylogeny Deduced amino acids Nucleotide sequences Bovine respiratory syncytial virus G protein
DOI:
doi:10.5061/dryad.6k8b1
摘要:
. The seroprevalence to BRSV in Norwegian cattle herds is high, but its role in epidemics of respiratory disease is unclear. The aims of the study were to investigate
Data from: Infectious disease dynamics inferred from genetic data via sequential Monte Carlo
负责人:
关键词:
sequential Monte Carlo;HIV;maximum likelihood;Virus evolution;Phylodynamics;iterated filtering
DOI:
doi:10.5061/dryad.3634m
摘要:
epidemiological observations. Most currently available methods first estimate phylogenetic trees from sequence data, then estimate a transmission model condi
Data from: Characterizing and comparing the seasonality of influenza-like illnesses and invasive pneumococcal diseases using seasonal waveforms
负责人:
关键词:
influenza;infectious disease seasonality;pneumococcus;invasive pneumococcal diseases;influenza-like illnesses;seasonal waveforms;mixed-effects models
DOI:
doi:10.5061/dryad.tg5qb
摘要:
k times, but a more conserved epidemic duration. In contrast, IPD seasonality was best modeled by a markedly regular seasonal baseline, punctuated
Data from: Adaptive estimation for epidemic renewal and phylogenetic skyline models
负责人:
关键词:
Phylodynamics;Epidemiology;Skyline plots;Renewal models;Coalescent processes;model selection;Information theory
DOI:
doi:10.5061/dryad.mpg4f4qv6
摘要:
s concerning its future growth or decline. In infectious disease applications, the individuals infected across an epidemic form the target population
Reformatted Data Analyzed In Alamil Et Al. (2018)
负责人:
关键词:
infectious disease pathogen spread transmission trees within-host pathogen diversity Ebola swine influenza wild salsify potyvirus
DOI:
doi:10.5281/zenodo.1410575
摘要:
Reformatted data analyzed in Alamil et al. (2018; Inferring epidemiological links from deep sequencing data: a statistical learning approach

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