RSS 1.0Welcome to ChesterRep - the University of Chester's Online Research Repository
ChesterRep is the University of Chester's institutional repository and an online platform designed to collate, store, and aid discoverability of research carried out at the university to the wider research community
For more information about how to submit material to ChesterRep, see our ChesterRep guides here. You can also find out more about our editorial and open access policies here. Please note that you must be a member of the University of Chester in order to view these pages.
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Visualization for epidemiological modelling: challenges, solutions, reflections and recommendationsWe report on an ongoing collaboration between epidemiological modellers and visualization researchers by documenting and reflecting upon knowledge constructs—a series of ideas, approaches and methods taken from existing visualization research and practice—deployed and developed to support modelling of the COVID-19 pandemic. Structured independent commentary on these efforts is synthesized through iterative reflection to develop: evidence of the effectiveness and value of visualization in this context; open problems upon which the research communities may focus; guidance for future activity of this type and recommendations to safeguard the achievements and promote, advance, secure and prepare for future collaborations of this kind. In describing and comparing a series of related projects that were undertaken in unprecedented conditions, our hope is that this unique report, and its rich interactive supplementary materials, will guide the scientific community in embracing visualization in its observation, analysis and modelling of data as well as in disseminating findings. Equally we hope to encourage the visualization community to engage with impactful science in addressing its emerging data challenges. If we are successful, this showcase of activity may stimulate mutually beneficial engagement between communities with complementary expertise to address problems of significance in epidemiology and beyond. See https://ramp-vis.github.io/RAMPVIS-PhilTransA-Supplement/. This article is part of the theme issue ‘Technical challenges of modelling real-life epidemics and examples of overcoming these’.
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Individual and situational factors affecting the movement characteristics and internal responses to Touch match-play during an international tournament.To examine the influence of individual and situational factors on the movement characteristics and internal responses of players to an international Touch tournament. Using 47 International Touch players (25 men and 22 women), the associations between the movement characteristics and internal responses with individual (sprint, glycolytic test, Yo-Yo intermittent recovery test level 1 [Yo-Yo IR1], jump performance and well-being) and situational (sex, squad, position, competition day, points scored/conceded, result, and opposition rank) factors were examined using linear mixed modelling. Yo-Yo IR1 distance was associated with all movement characteristics and internal responses ( = -0.29 to 0.37), whilst sprint and glycolytic times only influenced mean heart rate (HR ) ( = 0.15) and high-speed distance ( = 0.10), respectively. Sex influenced high-speed distance ( = -0.41), whilst squad was associated with playing time and HR ( = -0.10-0.33). Other associations included: playing position with all movement characteristics ( = -0.67-0.81); points conceded with relative distance ( = -0.14); winning with high metabolic power and session RPE ( = -0.07-0.09), and opposition rank with HR and RPE ( = 0.11-0.35). Individual and situational factors can influence the movement characteristics and internal responses to Touch and should be considered when developing the characteristics of players and interpreting responses to match-play.
