Pilot study of the utility and acceptability of tampon sampling for the diagnosis of Neisseria gonorrhoeae and Chlamydia trachomatis infections by duplex realtime polymerase chain reaction in United Kingdom sex workers

We aimed to evaluate the acceptability of self-collected tampon samples for the screening of female sex workers for sexually transmitted infections. We recruited 65 sex workers, and 63 agreed to provide tampon samples. The tampon samples were processed by realtime polymerase chain reaction (PCR) targeting Neisseria gonorrhoeae and Chlamydia trachomatis. Urethral and endocervical swabs were also obtained from 61 of 63 participants and tested using culture (N. gonorrhoeae) and the BD ProbeTec strand displacement amplification (SDA) (C. trachomatis) assay. Tampon sampling was preferred by 95% of the women and all favoured being tested away from genitourinary medicine clinics; the most common reasons cited were avoidance of embarrassment (40%) and convenience (30%). Besides near-universal acceptability of tampon sampling, the tampon sampling-PCR approach described in this study appeared to have enhanced sensitivity compared with conventional testing, suggesting the possibility of a residual hidden burden of N. gonorrhoeae and/or C. trachomatis genital infections in UK female sex workers.

Forecasting overseas visitors into the United Kingdom using continuous time and autoregressive fractional integrated moving average models with discrete data

This paper applies Gaussian estimation methods to continuous time models for modelling overseas visitors into the UK. The use of continuous time modelling is widely used in economics and finance but not in tourism forecasting. Using monthly data for 1986–2010, various continuous time models are estimated and compared to autoregressive integrated moving average (ARIMA) and autoregressive fractionally integrated moving average (ARFIMA) models. Dynamic forecasts are obtained over different periods. The empirical results show that the ARIMA model performs very well, but that the constant elasticity of variance (CEV) continuous time model has the lowest root mean squared error (RMSE) over a short period.

The relation between content providers and distributors: Lessons from the regulation of television distribution in the United Kingdom

Using the United Kingdom (UK) as a case study, this article analyses the growing commercial and regulatory significance of broadcaster-distributor relations within the contemporary television industry. The first part of the article argues that despite important changes in broadcast delivery technology, more recently shaped by the growth of the Internet, and the associated growth of options of receiving television content, the traditional delivery platforms (digital terrestrial, satellite and cable) remain by far the preferred choice for viewers in Britain. At the same time, public service broadcasters continue to be the biggest investors in domestic original non-sport content and account for over half of all television viewing. The strength of PSBs in content and their growing reliance on commercial proprietary subscription platforms (cable and satellite) and gradually on the Internet presents challenges in the nexus between broadcasters and distributors. The article focuses on the debate over retransmission fees between PSBs and Sky, and on the question of whether Sky should be required to offer some of its premium content to rival pay-TV platforms. These two examples highlight the impact regulatory intervention can have on the balance of power between broadcasters and distributors. The article concludes that such debates concerning the commercial relations between content providers and distributors will remain pivotal and become more heated given that similar issues are raised in the Internet environment.