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International audience; In this paper, we examine the changes in the dependence structure of global stock markets amid the outbreak of COVID-19. We divide 56 stock markets into developed, emerging, and frontier markets and study their daily price data from 15 October 2019 to 17 August 2020 using the canonical vine (C-vine) copula approach. We observed significant changes in the dependence structure, the selection of the pair copula families, and the associated parameter estimates in the tree. In developed markets, during the COVID-19, the dependence of markets shifted from the Netherlands to France while the root node position of Hungary replaced the market of Poland. The frontier markets showed strong dependence signs with Mauritius before COVID-19 and Slovenia during the outbreak. Our findings are of interest to regulators and practitioners, particularly in monitoring the value at risk of portfolios and adopting appropriate strategies in light of the varying dynamics of stock markets during extreme events, such as COVID-19.

This paper shows that prospect theory, extended to account for differences across individuals in their patience and their valuation of the vaccination as a common good can explain why more than 40% of the population has intent to reject the Covid-19 vaccination, as well as the differences in vaccination intentions across population subgroups. Indeed, prospect theory by over-weighting the side effect explains the reject of vaccination. This can be partially compensated by a high patience and/or a large valuation of the collective immunity. The calibrated version of our model, based on an original survey carried out on a representative sample of the adult population living in France allowing us to identify curvatures of their value function, their discount rates and their willingness to cooperate, can predict the evolution of the vaccination intentions between November 2020 an March 2021. We also show that the international differences in the vaccination intentions are closely related to the valuation of the vaccination as a common good.

COVID-19 mortality increases markedly with age and is also substantially higher among Black, Indigenous, and People of Color (BIPOC) populations in the United States. These two facts can have conflicting implications because BIPOC populations are younger than white populations. In analyses of California and Minnesota—demographically divergent states—we show that COVID vaccination schedules based solely on age benefit the older white populations at the expense of younger BIPOC populations with higher risk of death from COVID-19. We find that strategies that prioritize high-risk geographic areas for vaccination at all ages better target mortality risk than age-based strategies alone, although they do not always perform as well as direct prioritization of high-risk racial/ethnic groups. Vaccination schemas directly implicate equitability of access, both domestically and globally. Age-based COVID-19 vaccination prioritizes white people above higher-risk others; geographic prioritization improves equity. Description

Abstract The global lockdowns brought on by the COVID-19 pandemic forced an immediate change in the way people moved about;namely, travel was slowed from a turbulent river to a trickle In-person meetings, often involving long-distance flights, were either canceled, postponed, or shifted over to virtual modes People who were unfamiliar with online meetings quickly became acquainted with them

International audience; In honour of the International Year of Sound and for the 1 year memorial of the Notre-Dame cathedral fire, a team of researchers and sound engineers created a virtual reconstruction of a concert in the cathedral, using close-mic recordings made on 24-April-2013 of a performance of La Vierge by Jules Massenet. This reconstruction was carried out during the period of strict COVID-19 confinement. With 83 musicians, 6 singers and a 160person choir spatially distributed throughout the cathedral, the original performance offered a spatial composition highlighting the complex acoustics and interactions between source and listener positions. Individual tracks were convolved with spatial room impulse responses, created from a calibrated geometrical acoustic simulation. Several listening positions were binaurally rendered, along with an artistic mix created by a sound engineer, offering a unique 3d-audio experience approaching the reality of the moment in the past. Distributed on-line, the website presenting this virtual reconstruction has been visited from users around the world. A listener opinion survey was included on the website. This paper presents an overview of the source material, the production workflow, and the challenges of realising such a production during confinement. Finally, an overview of visitor statistics and survey results is presented, providing insight into the reception of the virtual recreation and the interest towards future productions.

Pandemic disease is not merely a biological reality but also a cognitive and socially constructed phenomenon which intensely mobilizes a multiplicity of political frames. Far-right political entrepreneurs are, despite their remoteness from actual decision-making processes, active stakeholders in the current crisis. Existential threats to societies breed a sense of urgency and heightened cultural warfare that is a hotbed for extremism. Our study seeks to map, compare and contrast the symbolic responses to the Coronavirus crisis articulated by various far-right actors in two established democracies in the transatlantic area: The United States and France. We aim to shed light on how entrenched far-right mythologies and tropes—which appear increasingly transatlantic—are channeled into a new synthesis as part of an “alternative” political epistemology. Infused with the mythos of resistance and insurgency, resolutely anti-systemic, this alternative epistemology can better be described, following Michael Barkun, as a form of “stigmatized knowledge”. Our study will employ a Critical Discourse Analysis framework to bring into focus, in the response of the Euro-American far-right to the COVID-19 crisis, the ideological semiotics of the current “infodemic”.

International audience; This paper presents the Multilingual COVID-19 Analysis Method (CMTA) for detecting and observing the spread of misinformation about this disease within texts. CMTA proposes a data science (DS) pipeline that applies machine learning models for processing, classifying (Dense-CNN) and analyzing (MBERT) multilingual (micro)-texts. DS pipeline data preparation tasks extract features from multilingual textual data and categorize it into specific information classes (i.e., 'false', 'partly false', 'misleading'). The CMTA pipeline has been experimented with multilingual micro-texts (tweets), showing misinformation spread across different languages. To assess the performance of CMTA and put it in perspective, we performed a comparative analysis of CMTA with eight monolingual models used for detecting misinformation. The comparison shows that CMTA has surpassed various monolingual models and suggests that it can be used as a general method for detecting misinformation in multilingual micro-texts. CMTA experimental results show misinformation trends about COVID-19 in different languages during the first pandemic months.

Abstract This article analyzes the audio diaries of a Tibetan physician, originally from Amdo (Qinghai Province, China), now living in New York City. Dr. Kunchog Tseten describes his experiences during the first wave of the COVID-19 pandemic, in spring and summer 2020, when Queens, New York—the location where he lives and works—was the “epicenter of the epicenter” of the novel coronavirus outbreak in the United States. The collaborative research project of which this diary is a part combines innovative methodological approaches to qualitative, ethnographic study during this era of social distancing with an attunement to the relationship between language, culture, and health care. Dr. Kunchog’s diary and our analysis of its contents illustrate the ways that Tibetan medicine and Tibetan cultural practices, including those emergent from Buddhism, have helped members of the Himalayan and Tibetan communities in New York City navigate this unprecedented moment with care and compassion.