Article-Journal

Severity of respiratory tract infections depends on the infectious dose. Perspectives for the next pandemic
During the COVID-19 pandemic, much has been said about the importance of host-specific and virus-specific factors as predictors of the …
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Bayesian workflow for time-varying transmission in stratified compartmental infectious disease transmission models
Abstract Compartmental models that describe infectious disease transmission across subpopulations are central for assessing the impact …
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The Gompertz Law emerges naturally from the inter-dependencies between sub-components in complex organisms
Understanding and facilitating healthy aging has become a major goal in medical research and it is becoming increasingly acknowledged …
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The Limits of the Constant-rate Birth–Death Prior for Phylogenetic Tree Topology Inference
Birth-death models are stochastic processes describing speciation and extinction through time and across taxa and are widely used in …
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Leaping through Tree Space: Continuous Phylogenetic Inference for Rooted and Unrooted Trees
Phylogenetics is now fundamental in life sciences, providing insights into the earliest branches of life and the origins and spread of …
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Estimating the epidemic reproduction number from temporally aggregated incidence data: A statistical modelling approach and software tool
The time-varying reproduction number (Rt) is an important measure of epidemic transmissibility that directly informs policy decisions …
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Effectiveness of social distancing measures and lockdowns for reducing transmission of COVID-19 in non-healthcare, community-based settings
Social distancing measures (SDMs) are community-level interventions that aim to reduce person-to-person contacts in the community. SDMs …
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Application of referenced thermodynamic integration to Bayesian model selection
Evaluating normalising constants is important across a range of topics in statistical learning, notably Bayesian model selection. …
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Machine learning models of healthcare expenditures predicting mortality: A cohort study of spousal bereaved Danish individuals
BACKGROUND: The ability to accurately predict survival in older adults is crucial as it guides clinical decision making. The added …
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Predicting mortality risk after a fall in older adults using health care spending patterns: a population-based cohort study
OBJECTIVE: To develop a prognostic model of 1-year mortality for individuals aged 65+ presenting at the emergency department (ED) with …
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