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COVID-19 outbreaks at nursing homes during the recent pandemic, which received ample media coverage, may have lasting negative impacts on individuals’ perceptions regarding ursing homes. We argue that this could have sizable and persistent implications for savings and long-term care policies. We first develop a theoretical model predicting that higher nurs- ing home aversion should induce higher savings and stronger support for policies subsidizing home care. We further document, based on a survey on Canadians in their 50s and 60s, that higher nursing home aversion is widespread: 72% of respondents are less inclined to enter a nursing home because of the pandemic. Consistent with our model, we find that the latter are much more likely to have higher intended savings for older age because of the pandemic. We also find that they are more likely to strongly support home care subsidies.

Background: Senegal reported the first COVID-19 case on March 2, 2020. A nationwide cross-sectional epidemiological survey was conducted to capture the true extent of COVID-19 exposure. Methods: Multi-stage random cluster sampling of households was carried out between October 24 and November 26, 2020, at the end of the first wave of COVID-19 transmission. Anti-SARS-CoV-2 antibodies (IgG and/or IgM) were screened using three distinct ELISA assays. Adjusted prevalence for the survey design were calculated for each test separately, and thereafter combined. Crude, adjusted prevalence based on tests performances and weighted prevalence by sex-age strata were estimated to assess the seroprevalence. Findings: Of the 1,463 participants included in this study, 58·8% were women and the mean age of participants was 29·2 years (range 0·25–82·0). The national seroprevalence was estimated at 28 . 4% (95% CI: 26·1-30·8). There was substantial regional variability. Four regions recorded the highest seroprevalence: Ziguinchor (56·7%), Sedhiou (48·0%), Dakar (44·0%) and Kaolack (32·7%) whereas, Louga (11·1%) and Matam (11·2%), located in the Center-North, were less impacted in our analysis. All age groups were impacted and the prevalence of SARS-CoV-2 was comparable in symptomatic and asymptomatic groups. We estimated 4,744,392 SARS-CoV-2 (95% CI: 4,360,164 – 5,145,327) potential infected in Senegal compared to 16,089 COVID-19 RT-PCR laboratory-confirmed cases reported at the time of the survey. Interpretation: These results provide an estimate of SARS-CoV-2 virus dissemination in the Senegalese population. Preventive and control measures need to be reinforced in the country and especially in the south border regions. Funding Information: This work was supported by US Centers for Disease Control and Prevention (CDC), the Senegalese Ministry of Health, the Senegalese National Statistics and Demography Agency (ANSD), the WHO Unity program and the COVID-19 Task-force of the International Pasteur Institute Network (IPIN, REPAIR project). Declaration of Interests: We declare no competing interests. Ethics Approval Statement: All participants have consented to participate in the study. For people younger than 18 years, a legal representative provided informed consent. The study was approved by the Senegalese National Ethics Committee for Research in Health (reference number N°0176/MSAS/DPRS/CNERS, 10 October 2020).

Face à la pandémie du COVID-19, la science de l’information se trouve confrontée à un certain nombre de nouvelles problématiques, liées aux crises d’information, auxquelles elle n’était pas préparée. Qui dit crise mondiale, crise économique, crise énergétique, changement climatique, etc... dit crise d’information, crise caractérisée par une augmentation drastique de la quantité d’informations, par une épidémie d’information i.e. une infodémie et par de nouvelles et nombreuses mauvaises conduites des pratiques informationnelles. La crise sanitaire liée à la pandémie du COVID-19 n’échappe pas à la règle: infodémie de bonnes informations médicales et sanitaires mais aussi infodémie de mauvaises informations, bonnes pratiques informationnelles mais aussi nombreuses inconduites. Habituée au registre de la vérité scientifique, la science de l’information doit affronter le registre de la post-vérité et du complotisme qui semble caractériser nos sociétés actuelles. Information-soupçon, information-dénonciation, information- mensonge, c’est, pour la science de l’information, un nouvel horizon guère réjouissant qu’elle devrait pouvoir maîtriser sans problème en mobilisant son arsenal de concepts, de méthodes, de lois, de modèles et de théories bien établis en conservant et en développant l’horizon réjouissant de l’information-vérité. In the face of the COVID-19 pandemic, information science is facing a number of new challenges related to information crises for which it was not prepared. Who says global crisis, economic crisis, energy crisis, climate change, etc ... says information crisis, crisis characterized by a drastic increase in the amount of information, by an information epidemic ie an infodemic and by news and numerous misconduct of information practices. The health crisis linked to the COVID-19 pandemic is no exception to the rule: infodemic of good medical and health information but also infodemic of bad information, good informational practices but also numerous misconduct. Accustomed to the register of scientific truth, information science must confront the register of post-truth and conspiracy that seems to characterize our current societies. Information-suspicion, information-denunciation, information-lies, it is, for the science of information, a hardly encouraging new horizon that it should be able to master without problem by mobilizing its arsenal of concepts, methods, laws, of well- established models and theories by preserving and developing the joyous horizon of information-truth.

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.

This paper examines the empirical relationship between individuals’ cognitive and non-cognitive abilities and COVID-19 compliance behaviors using cross-country data from the Survey of Health, Ageing and Retirement in Europe (SHARE). We find that both cognitive and non-cognitive skills predict responsible health behaviors during the COVID-19 crisis. Episodic memory is the most important cognitive skill, while conscientiousness and neuroticism are the most significant personality traits. There is also some evidence of a role for an internal locus of control in compliance. usc Refereed/Peer-reviewed

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

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.

Author(s): Laffoley, Dan; Baxter, John M; Amon, Diva J; Claudet, Joachim; Hall-Spencer, Jason M; Grorud-Colvert, Kirsten; Levin, Lisa A; Reid, P Chris; Rogers, Alex D; Taylor, Michelle L; Woodall, Lucy C; Andersen, Natalie F