Epidemicity conditions in spatial models of infectious diseases

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School-based interventions during epidemics are often controversial, as experienced during the COVID-19 pandemic, where reducing transmission had to be weighed against the adverse effects on young children. However, it remains unclear how the broader epide ...

Ecohydrology and epidemiology share a deep bond in infectious disease modelling. The former focuses on the interaction among species and their water-controlled environment (i.e., the study of water controls on the biota). The latter revolves around specif ...

It is well known that a family of n×n commuting matrices can be simultaneously triangularized by a unitary similarity transformation. The diagonal entries of the triangular matrices define the n joint eigenvalues of the family. In this work, we consider th ...

Many species aggregate in dense colonies. Species-specific spatial patterns provide clues about how colonies are shaped by various (a)biotic factors, including predation, temperature regulation or disease transmission. Using aerial imagery, we examined the ...

Vibrio cholerae is a pathogen that causes disease in millions of people every year by colonizing the small intestine and then secreting the potent cholera toxin. How the pathogen overcomes the colonization barrier created by the host’s natural microbiota i ...

Mice from different genetic backgrounds have widely diverse responses to the same metabolic challenges. Only PWK/PhJ mice show significant mitochondrial dysfunction and progression to fibrotic NASH that resembles human NASH. The PWK/PhJ strain is a novel N ...

Epidemicity conditions in spatial models of infectious diseases

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Randomized methods for computing joint eigenvalues, with applications to multiparameter eigenvalue problems and root finding

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The genetic background shapes the susceptibility to mitochondrial dysfunction and NASH progression