Continuous time Markov chain models are frequently employed in medical research to study
the disease progression but are rarely applied to the transtheoretical model, a psychosocial …

Thrombin is an enzyme produced during blood coagulation that is crucial to the formation of
a stable clot. Thrombin cleaves soluble fibrinogen into fibrin, which polymerizes and forms …

Latent classification model is a class of statistical methods for identifying unobserved class
membership among the study samples using some observed data. In this study, we …

Formal analysis of the emergent structural properties of dynamic networks is largely
uncharted territory. We focus here on the properties of forward reachable sets (FRS) as a …

Background Hand transmission of harmful microorganisms may lead to infections and poses
a major threat to patients and healthcare workers in healthcare settings. The most effective …

The UK railway drainage system is facing significant asset management challenges due to
the presence of large numbers of assets with long asset life cycles. Maintaining the required …

The development of mathematical models for studying newly emerging and re-emerging
infectious diseases has gained momentum due to global events. The gyrodactylid-fish …

A Markov Chain Monte Carlo method (MCMC) is adopted to estimate a continuous hidden
Markov autoregressive model; best fitted to formulate the hidden behavior of a disease …

UK railway drainage systems are facing increasing challenges due to poor completeness of
the asset inventory, long asset life cycles, more intense use of the UK railway system, and a …

The interferon system functions as a first line of defense against viral infections. The cellular
recognition of viruses leads to the production of interferons (IFN) by the infected cells …