Wastewater-based epidemiology in hazard forecasting and early-warning systems for global health risks.

With the advent of the SARS-CoV-2 pandemic, Wastewater-Based Epidemiology (WBE) has been applied to track community infection in cities worldwide and has proven succesful as an early warning system for identification of hotspots and changingprevalence of infections (both symptomatic and asymptomatic) at a city or sub-city level. Wastewater is only one of environmental compartments that requires consideration. In this manuscript, we have critically evaluated the knowledge-base and preparedness for building early warning systems in a rapidly urbanising world, with particular attention to Africa, which experiences rapid population growth and urbanisation. We have proposed a Digital Urban Environment Fingerprinting Platform (DUEF) - a new approach in hazard forecasting and early-warning systems for global health risks and an extension to the existing concept of smart cities. The urban environment (especially wastewater) contains a complex mixture of substances including toxic chemicals, infectious biological agents and human excretion products. DUEF assumes that these specific endo- and exogenous residues, anonymously pooled by communities' wastewater, are indicative of community-wide exposure and the resulting effects. DUEF postulates that the measurement of the substances continuously and anonymously pooled by the receiving environment (sewage, surface water, soils and air), can provide near real-time dynamic information about the quantity and type of physical, biological or chemical stressors to which the surveyed systems are exposed, and can create a risk profile on the potential effects of these exposures. Successful development and utilisation of a DUEF globally requires a tiered approach including: Stage I: network building, capacity building, stakeholder engagement as well as a conceptual model, followed by Stage II: DUEF development, Stage III: implementation, and Stage IV: management and utilization. We have identified four key pillars required for the establishment of a DUEF framework: (1) Environmental fingerprints, (2) Socioeconomic fingerprints, (3) Statistics and modelling and (4) Information systems. This manuscript critically evaluates the current knowledge base within each pillar and provides recommendations for further developments with an aim of laying grounds for successful development of global DUEF platforms.

Did you see what I saw?: Comparing attentional synchrony during 360° video viewing in head mounted display and tablets.

Advances in head mounted displays (HMDs) have increased the interest in cinematic virtual reality as an art form. However, the freedom of a viewer in 360 video presents challenges in ensuring that audiences do not inadvertently miss important events and locations. We examined whether the high level of immersion provided by HMDs encourages participants to synchronize their attention during viewing. Sixty-four participants watched the 360° documentary Clouds Over Sidra (VRSE.works, 2015) using either an HMD or via a flat screen tablet display. We used intersubject correlation (ISC) analysis to measure attentional synchrony over the course of the video and to examine whether spatial and temporal factors led to different amounts of correlation both within and between groups. We found significantly greater ISC for the HMD compared to the tablet group. This effect was greatest for scenes with a unidirectional focus and at the start of scenes. We discuss our results in terms of the visual properties and the motor affordances of HMDs versus tablets. Our results show the value of HMDs in increasing attentional synchrony and may provide producers of 360° content insight in how to encourage or discourage synchronization of viewing direction. (PsycInfo Database Record (c) 2021 APA, all rights reserved).