The search session has expired. Please query the service again.
The emergence of multidrug resistance among gram-negative bacilli is complex. Numerous
factors need to be considered, including the biological fitness cost of resistance, fitnesscompensatory
mutations and frequency and type of antibiotic exposure. A mathematical model
evaluating these complex relationships was developed in an individual colonized with strains of
pan-susceptible, single-, two- and multidrug-resistant (MDR) gram-negative bacilli (GN). The effect
of bacterial fitness, compensatory...
In this paper we analyze the stochastic version of a minimalistic multi-strain model,
which captures essential differences between primary and secondary infections in dengue
fever epidemiology, and investigate the interplay between stochasticity, seasonality and
import. The introduction of stochasticity is needed to explain the fluctuations observed
in some of the available data sets, revealing a scenario where noise and complex
deterministic skeleton...
Skupinový screening je nezbytnou součástí boje proti šíření koronaviru. Jak ale čelit možnému nedostatku činidel a materiálu? Tím, že budeme provádět testy na bázi promíchání vzorků a využijeme přitom matematiku.
Tuberculosis is the leading cause of death due to infectious diseases in the world today,
and it is increasing due to co-infection with HIV-1, the causative agent of AIDS. Here, we
examine the impact that HIV-1 infection has on persons with latent tuberculosis. Based on previous
work, we develop a mathematical model of an adaptive immune response in the lung which
considers relevant immune effectors such as macrophages, various sub-populations of T-cells, and
key cytokines to predict which mechanisms...
Real-world medical decisions rarely involve binary Ðsole condition present or absent-
patterns of patient pathophysiology. Similarly, provider interventions are rarely unitary
in nature: the clinician often undertakes multiple interventions simultaneously.
Conventional approaches towards complex physiologic derangements and their associated
management focus on the frequencies of joint appearances, treating the individual
derangements of physiology...
In this paper we build and analyze networks using the statistical and programming
environment R and the igraph package. We investigate random, small-world, and scale-free
networks and test a standard problem of connectivity on a random graph. We then develop a
method to study how vaccination can alter the structure of a disease transmission network.
We also discuss a variety of other uses for networks in biology.
Natural immunity to breast and prostate cancers is predicted by a novel, saturated
ordered mutation model fitted to USA (SEER) incidence data, a prediction consistent with
the latest ideas in immunosurveillance. For example, the prevalence of natural immunity to
breast cancer in the white female risk population is predicted to be 76.5%; this immunity
may be genetic and, therefore, inherited. The modeling also predicts that 6.9% of White
Females are...
Currently displaying 41 –
52 of
52