Publications by authors named "J Shucksmith"

Surface water quality is frequently impacted by acute rainfall driven pollutant sources such as sewer overflows. Understanding the risk of exposure from faecal pollution from short term impacts is challenging due to a paucity of high-resolution data from river systems. This paper proposes practical modelling approach for forecasting arrival time and durations of elevated E.

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Drawing on work that aimed to understand factors influencing experience of and engagement with the National Health Service (NHS) Health Check Program, this article discusses how Normalization Process Theory was used throughout the life course of a research project. As a relatively new theory, Normalization Process Theory is still being refined and much work undertaken to develop interactive tools and "test" the utility of it. Although there is little published critique of the theory, two main issues have arisen in the literature: (a) difficulties ensuring interpretation of constructs are congruent to the original theory and (b) the intensity of translation work to contextualize the theory to individual settings.

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Background: Smoking in pregnancy causes harm to mother and baby. Despite evidence from trials of what helps women quit, implementation in the real world has been hard to achieve. An evidence-based intervention, babyClear©, involving staff training, universal carbon monoxide monitoring, opt-out referral to smoking cessation services, enhanced follow-up protocols and a risk perception tool was introduced across North East England.

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Background: To increase the uptake of research evidence in practice, responsive research services have been developed within universities that broker access to academic expertise for practitioners and decision-makers. However, there has been little examination of the process of knowledge brokering within these services. This paper reflects on this process within the AskFuse service, which was launched in June 2013 by Fuse, the Centre for Translational Research in Public Health, in North East England.

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Article Synopsis
  • This paper explores uncertainties in integrated catchment models based on the QUICS project, discussing current knowledge and frameworks for analyzing these uncertainties.
  • It compares building and calibrating fully integrated models versus linking separate sub-models, examining how model linkage affects overall uncertainty and model complexity.
  • The paper also addresses whether linking models increases uncertainty or potentially reduces it, while highlighting challenges faced in uncertainty analysis and suggesting areas for future research.
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