Explaining the contribution of host and pathogen factors in driving infection dynamics is a major ambition in parasitology. There is increasing recognition that analyses based on single summary measures of an infection (e.g., peak parasitaemia) do not adequately capture infection dynamics and so, the appropriate use of statistical techniques to analyse dynamics is necessary to understand infect...

We describe a method for extracting boundaries, such as the lumen of a vessel, from digitized intravascular ultrasound (IVUS) frames from a S-VHS video, together with other useful parameters for each frame. Autocorrelation of the lumen and other parameters, a timeseries analysis, shows underlying regularity in the variation of lumen area through the heartbeat, and systematic variation of the ci...

The auto-correlation function of the X-ray background in the range of angular scales 0. ◦3–20◦ is determined using the ROSAT All-Sky Survey. In the power-law approximation, our best fit estimate is w(θ) = (0. ◦0058/θ)1.1. At the small separation end, this is substantially above previous estimates based on ROSAT pointings. The present upward revision of the correlation amplitude results from var...

This study investigates the effect of spatial correlation using a Bayesian spatial framework to model pedestrian and bicycle crashes in Traffic Analysis Zones (TAZs). Aggregate models for pedestrian and bicycle crashes were estimated as a function of variables related to roadway characteristics, and various demographic and socio-economic factors. It was found that significant differences were p...