Article-Journal

“Developing machine learning models of self-reported and register-based data to predict eating disorders in adolescence”
Early detection and prevention of eating disorders (EDs) in adolescence are crucial yet challenging. We developed and validated …
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Meteorological and environmental drivers of West Nile virus prevalence in Culex pipiens mosquitoes in Emilia-Romagna, Italy in 2013 to 2022
As West Nile Virus (WNV) is expanding its geographical range across Europe, there is an urgent need to characterise and better …
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phylo2vec: a library for vector-based phylogenetic tree manipulation
Phylogenetics is a fundamental component of evolutionary analysis frameworks in biology (Yang, 2014) and linguistics (Atkinson & …
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Beyond distance: integrating economic burden into large-scale primary healthcare accessibility analysis
BACKGROUND: Access to primary healthcare (PHC) services is a critical determinant of population health outcomes and a key indicator of …
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Continuous football player tracking from discrete broadcast data
Player tracking data remains out of reach for many professional football teams as their video feeds are not sufficiently high quality …
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Deep learning from videography as a tool for measuring E. coli infection in poultry
Poultry farming is threatened by regular outbreaks of Escherichia coli ( E. coli ) that lead to significant economic losses and public …
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Exploring nationwide patterns of sleep problems from late adolescence to adulthood using machine learning
Sleep problems among young adults pose a major public health challenge. Leveraging nationwide health surveys and registers from …
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How early-life adversity affects the risk of pediatric-onset immune-mediated inflammatory disease
BACKGROUND: The etiology of pediatric-onset immune-mediated inflammatory disease (pIMID) is poorly understood, particularly the …
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Excess mortality and hospitalisations associated with respiratory syncytial virus, influenza, and COVID-19 among adults in Denmark (2015–2024): a modelling study
Background: Understanding the long-term epidemiology trends of RSV, influenza, and COVID-19 is essential for planning of vaccination …
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Robert Verity, Samir Bhatt, Anne Cori, Seth Flaxman, and Swapnil Mishra’s contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al.
Robert Verity, Anne Cori, Swapnil Mishra, Seth Flaxman, Samir Bhatt; Robert Verity, Anne Cori, Swapnil Mishra, Seth Flaxman and Samir …
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