From Asymptomatics to Zombies: Visualization-Based Education of Disease Modeling for Children

Throughout the COVID-19 pandemic, visualizations became commonplace in public communications to help people make sense of the world and the reasons behind government-imposed restrictions. Though the adult population were the main target of these messages, children were affected by restrictions through not being able to see friends and virtual schooling. However, through these daily models and visualizations, the pandemic response provided a way for children to understand what data scientists really do and provided new routes for engagement with STEM subjects. In this paper, we describe the development of an interactive and accessible visualization tool to be used in workshops for children to explain computational modeling of diseases, in particular COVID-19. We detail our design decisions based on approaches evidenced to be effective and engaging such as unplugged activities and interactivity. We share reflections and learnings from delivering these workshops to 140 children and assess their effectiveness. © 2023 Owner/Author.

[Molecular and biological aspects of Arterivirus]

Arteriviruses are a group of small enveloped viruses with a genome composed of a positive, single-stranded, 5'-capped and 3'-polyadenylated RNA molecule. These viruses belong to the Arteriviridae family which together with the Coronaviridae and Roniviridae families constitutes the order Nidovirales. Arteriviruses have a marked tropism for macrophages and induce persistent infections. Several studies have reported the unique genomic organization of these viruses together with replication and transcription mechanisms for the synthesis of genomic and sub-genomic viral RNAs which, for the latter, encode viral structural proteins. Several sequences are now available for these viruses. Recent studies about the modulation of innate immune response by arteriviruses also demonstrated a key-role of particular non structural proteins in that process. Finally, certain pro- and anti-apoptotic mechanisms associated to Arteriviruses have been elucidated;however the exact significance of theses apoptotic processes in arterivirus pathogenesis has yet to be determined.

RAMPVIS: Answering the challenges of building visualisation capabilities for large-scale emergency responses.

The effort for combating the COVID-19 pandemic around the world has resulted in a huge amount of data, e.g., from testing, contact tracing, modelling, treatment, vaccine trials, and more. In addition to numerous challenges in epidemiology, healthcare, biosciences, and social sciences, there has been an urgent need to develop and provide visualisation and visual analytics (VIS) capacities to support emergency responses under difficult operational conditions. In this paper, we report the experience of a group of VIS volunteers who have been working in a large research and development consortium and providing VIS support to various observational, analytical, model-developmental, and disseminative tasks. In particular, we describe our approaches to the challenges that we have encountered in requirements analysis, data acquisition, visual design, software design, system development, team organisation, and resource planning. By reflecting on our experience, we propose a set of recommendations as the first step towards a methodology for developing and providing rapid VIS capacities to support emergency responses.

An interactive tool for enhancing hospital capacity predictions using an epidemiological model

Hospital managers have limited resources, and they have to plan on how best to allocate these resources based on predicted demand, which is often based on linear or exponential models. In this paper, we propose an interactive tool that produces a forecast of bed occupancy based on an epidemiological model. We optimise this model to fit recently observed data, and interactivity is conferred through a controllable parameter of the model such that users can readily investigate hypothetical scenarios for planning purposes. This study was designed with the Welsh National Health Service, and was born out of their practical need of accurately modelling hospital occupancy during the ongoing Covid-19 pandemic. © 2021 Owner/Author.