Listar por tema "Royal Society Publishing"
Mostrando ítems 1-5 de 5
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Data-driven prediction and origin identification of epidemics in population networks
(2021)Effective intervention strategies for epidemics rely on the identification of their origin and on the robustness of the predictions made by network disease models. We introduce a Bayesian uncertainty quantification framework ... -
Detection of arterial wall abnormalities via Bayesian model selection
(2019)Patient-specific modelling of haemodynamics in arterial networks has so far relied on parameter estimation for inexpensive or small-scale models. We describe here a Bayesian uncertainty quantification framework which makes ... -
Everything is not everywhere: Can marine compartments shape phytoplankton assemblages?
(2019)The idea that 'everything is everywhere, but the environment selects' has been seminal in microbial biogeography, and marine phytoplankton is one of the prototypical groups used to illustrate this. The typical argument has ... -
Genetic sexing strains for the population suppression of the mosquito vector Aedes aegypti: Aedes aegypti genetic sexing strains
(2021)Aedes aegypti is the primary vector of arthropod-borne viruses including dengue, chikungunya and Zika. Vector population control methods are reviving to impede disease transmission. An efficient sex separation for male-only ... -
Sex-specific impact of inbreeding on pathogen load in the striped dolphin
(2020)The impact of inbreeding on fitness has been widely studied and provides consequential inference about adaptive potential and the impact on survival for reduced and fragmented natural populations. Correlations between ...