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  • COVID-19
  • 2017-2021
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Pelleau, Stéphane; Woudenberg, Tom; Rosado, Jason; Donnadieu, Françoise; +34 Authors

    AbstractInfection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) induces a complex antibody response that varies by orders of magnitude between individuals and over time. Waning antibody levels lead to reduced sensitivity of serological diagnostic tests over time. This undermines the utility of serological surveillance as the SARS-CoV-2 pandemic progresses into its second year. Here we develop a multiplex serological test for measuring antibodies of three isotypes (IgG, IgM, IgA) to five SARS-CoV-2 antigens (Spike (S), receptor binding domain (RBD), Nucleocapsid (N), Spike subunit 2, Membrane-Envelope fusion) and the Spike proteins of four seasonal coronaviruses. We measure antibody responses in several cohorts of French and Irish hospitalized patients and healthcare workers followed for up to eleven months after symptom onset. The data are analysed with a mathematical model of antibody kinetics to quantify the duration of antibody responses accounting for inter-individual variation. One year after symptoms, we estimate that 36% (95% range: 11%, 94%) of anti-S IgG remains, 31% (9%, 89%) anti-RBD IgG remains, and 7% (1%, 31%) anti-N IgG remains. Antibodies of the IgM isotype waned more rapidly, with 9% (2%, 32%) anti-RBD IgM remaining after one year. Antibodies of the IgA isotype also waned rapidly, with 10% (3%, 38%) anti-RBD IgA remaining after one year. Quantitative measurements of antibody responses were used to train machine learning algorithms for classification of previous infection and estimation of time since infection. The resulting diagnostic test classified previous infections with 99% specificity and 98% (95% confidence interval: 94%, 99%) sensitivity, with no evidence for declining sensitivity over the time scale considered. The diagnostic test also provided accurate classification of time since infection into intervals of 0 – 3 months, 3 – 6 months, and 6 – 12 months. Finally, we present a computational method for serological reconstruction of past SARS-CoV-2 transmission using the data from this test when applied to samples from a single cross-sectional sero-prevalence survey.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ HAL-Pasteur; HAL-Ins...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Hyper Article en Ligne
    Other literature type . 2021
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    https://www.medrxiv.org/conten...
    Preprint
    License: CC BY NC
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ HAL-Pasteur; HAL-Ins...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Hyper Article en Ligne
      Other literature type . 2021
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      https://www.medrxiv.org/conten...
      Preprint
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Michelangelo Bin; Peter Y. K. Cheung; Emanuele Crisostomi; Pietro Ferraro; +7 Authors

    Author summary Why? The design of post-lockdown mitigation policies while vaccines are still not available is pressing now as new secondary waves of the virus have emerged in many countries (for example, in Spain, France, UK, Italy, Israel, and others), and as several of these countries grapple with the reintroduction of full lockdown measures. What do we do and find? We propose efficacious and realisable methods based on control theory to tame the complex behaviour of COVID-19 in well mixed populations. We achieve this through a policy of fast intermittent lockdown intervals with regular period. We illustrate how our approach offers a fundamentally new perspective on ways to design COVID-19 exit strategies from policies of total lockdown. Our theoretical results are also very general and apply to a wide range of epidemiological models. What do these findings mean? Unlike many other proposed abatement strategies, which have risks and uncertainties possibly leading to multiple waves of infection, we demonstrate that our proposed policies have the potential to suppress the virus outbreak, while at the same time allowing continued economic activity. These policies, while of practical significance, are built on rigorous theoretical results, which are to the best of our knowledge, new in mathematical epidemiology. An extensive validation is carried out using a detailed epidemic model validated on real COVID-19 data from Italy and published very recently in Nature Medicine. COVID-19 abatement strategies have risks and uncertainties which could lead to repeating waves of infection. We show—as proof of concept grounded on rigorous mathematical evidence—that periodic, high-frequency alternation of into, and out-of, lockdown effectively mitigates second-wave effects, while allowing continued, albeit reduced, economic activity. Periodicity confers (i) predictability, which is essential for economic sustainability, and (ii) robustness, since lockdown periods are not activated by uncertain measurements over short time scales. In turn—while not eliminating the virus—this fast switching policy is sustainable over time, and it mitigates the infection until a vaccine or treatment becomes available, while alleviating the social costs associated with long lockdowns. Typically, the policy might be in the form of 1-day of work followed by 6-days of lockdown every week (or perhaps 2 days working, 5 days off) and it can be modified at a slow-rate based on measurements filtered over longer time scales. Our results highlight the potential efficacy of high frequency switching interventions in post lockdown mitigation. All code is available on Github at https://github.com/V4p1d/FPSP_Covid19. A software tool has also been developed so that interested parties can explore the proof-of-concept system.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ PLoS Computational B...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    PLoS Computational Biology
    Article
    License: CC BY
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    https://doi.org/10.48550/arxiv...
    Article . 2020
    License: arXiv Non-Exclusive Distribution
    Data sources: Datacite
    Hal-Diderot
    Article . 2021
    Data sources: Hal-Diderot
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Gerkin, Richard, C.; Ohla, Kathrin; Veldhuizen, Maria, G.; Joseph, Paule, V.; +140 Authors

    In a preregistered, cross-sectional study we investigated whether olfactory loss is a reliable predictor of COVID-19 using a crowdsourced questionnaire in 23 languages to assess symptoms in individuals self-reporting recent respiratory illness. We quantified changes in chemosensory abilities during the course of the respiratory illness using 0-100 visual analog scales (VAS) for participants reporting a positive (C19+; n=4148) or negative (C19-; n=546) COVID-19 laboratory test outcome. Logistic regression models identified univariate and multivariate predictors of COVID-19 status and post-COVID-19 olfactory recovery. Both C19+ and C19- groups exhibited smell loss, but it was significantly larger in C19+ participants (mean±SD, C19+: -82.5±27.2 points; C19-: -59.8±37.7). Smell loss during illness was the best predictor of COVID-19 in both univariate and multivariate models (ROC AUC=0.72). Additional variables provide negligible model improvement. VAS ratings of smell loss were more predictive than binary chemosensory yes/no-questions or other cardinal symptoms (e.g., fever). Olfactory recovery within 40 days of respiratory symptom onset was reported for ~50% of participants and was best predicted by time since respiratory symptom onset. We find that quantified smell loss is the best predictor of COVID-19 amongst those with symptoms of respiratory illness. To aid clinicians and contact tracers in identifying individuals with a high likelihood of having COVID-19, we propose a novel 0-10 scale to screen for recent olfactory loss, the ODoR-19. We find that numeric ratings ≤2 indicate high odds of symptomatic COVID-19 (4

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ University of East A...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Chemical Senses
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    Data sources: UnpayWall
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    NARCIS; Research@WUR
    Other literature type . Article . 2021 . 2020
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Europe PubMed Central
    Other literature type . 2020
    Data sources: PubMed Central
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    Chemical Senses
    Article . 2021
    Data sources: NARCIS
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    Article . 2021
    Data sources: NARCIS
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    Other literature type . 2021
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Nunes, S��rgio; Little, Suzanne; Bhatia, Sumit; Boratto, Ludovico; +10 Authors

    ECIR 2020 https://ecir2020.org/ was one of the many conferences affected by the COVID-19 pandemic. The Conference Chairs decided to keep the initially planned dates (April 14-17, 2020) and move to a fully online event. In this report, we describe the experience of organizing the ECIR 2020 Workshops in this scenario from two perspectives: the workshop organizers and the workshop participants. We provide a report on the organizational aspect of these events and the consequences for participants. Covering the scientific dimension of each workshop is outside the scope of this article. 10 pages, 3 figures, submitted to ACM SIGIR Forum

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ arXiv.org e-Print Ar...arrow_drop_down
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    ACM SIGIR Forum
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    https://doi.org/10.48550/arxiv...
    Article . 2020
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    Article . 2020 . Peer-reviewed
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    Authors: AMMAR, ACHRAF; Brach, Michael; Trabelsi, Khaled; Chtourou, Hamdi; +53 Authors

    AbstractBackgroundPublic health recommendations and governmental measures during the COVID-19 pandemic have enforced numerous restrictions on daily living including social distancing, isolation and home confinement. While these measures are imperative to abate the spreading of COVID-19, the impact of these restrictions on health behaviours and lifestyle at home is undefined. Therefore, an international online survey was launched in April 2020 in seven languages to elucidate the behavioral and lifestyle consequences of COVID-19 restrictions. This report presents the preliminary results from the first thousand responders on physical activity (PA) and nutrition behaviours.MethodsThirty-five research organisations from Europe, North-Africa, Western Asia and the Americas promoted the survey through their networks to the general society, in English, German, French, Arabic, Spanish, Portugese, and Slovenian languages. Questions were presented in a differential format with questions related to responses “before” and “during” confinement conditions.Results1047 replies (54% women) from Asia (36%), Africa (40%), Europe (21%) and other (3%) were included into a general analysis. The COVID-19 home confinement had a negative effect on all intensities of PA (vigorous, moderate, walking and overall). Conversely, daily sitting time increased from 5 to 8 hours per day. Additionally, food consumption and meal patterns (the type of food, eating out of control, snacks between meals, number of meals) were more unhealthy during confinement with only alcohol binge drink decreasing significantly.ConclusionWhile isolation is a necessary measure to protect public health, our results indicate that it alters physical activity and eating behaviours in a direction that would compromise health. A more detailed analysis of survey data will allow for a segregation of these responses in different age groups, countries and other subgroups which will help develop bespoke interventions to mitigate the negative lifestyle behaviors manifest during the COVID-19 confinement.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ medRxivarrow_drop_down
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    https://www.mdpi.com/2072-6643...
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      https://www.mdpi.com/2072-6643...
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    Authors: Yilmaz, Ozge; Gochicoa‐Rangel, Laura; Blau, Hannah; Epaud, Ralph; +6 Authors

    To the editor,Following the online podcast recorded the 31 March 2020 by the International Committee of the American Thoracic Society Pediatrics Assembly and recently published in Pediatric Pulmonology1, we have interesting discussion with my international colleagues about the likelihood of acute bronchiolitis caused by SARS-CoV-2 infection in absence of RSV co-infection. Here, we report 2 cases of COVID-19 in infants < 3 months old admitted to our paediatric unit. The infants presented fever and neurological symptoms and after a short period, acute bronchiolitis.Case 1 : A term-born boy with unremarkable history was admitted to the emergency department with poorly tolerated high fever (38.8°C) and rhinitis. The parents, who had no history of asthma or allergy, showed clinical signs suggesting SARS-CoV-2 infection. RT-PCR for SARS-CoV-2 on a nasopharyngeal swab was positive for the father and the grandfather, who was hospitalized in the intensive care unit. Neurologic examination of the infant revealed lethargy and hypotonia with a bulging anterior fontanelle. The respiratory condition and clinical examination findings including hemodynamics were normal.The first blood test showed isolated lymphopenia (lymphocyte count 1.56 x109/L; normally 4-6x109/L) without modification of biological inflammatory parameters, as assessed by normal levels of C-reactive protein (CRP) and procalcitonin (PCT). Spinal fluid analysis, cytobacteriological urine analysis and blood culture were negative. RT-PCR of a nasopharyngeal swab was positive for SARS-CoV-2 but negative for respiratory syncytial virus (RSV) and influenza virus (IV). The patient received fluid volume expansion(20 ml/Kg of 0.9% sodium chloride solution) together with antibiotic treatment (cefotaxime, amoxicillin and gentamicin at meningeal doses) for 24 hr, that was stopped with a positive RT-PCR test for SARS-CoV-2 and negative blood culture. Favourable clinical outcome was obtained shortly thereafter, allowing the infant to return home 2 days later.Ten days later, the child returned with acute bronchiolitis. Respiratory symptoms included polypnea, shortness of breath, wheezing and hypoxia (SpO2< 92 %). Lung ultrasonography revealed signs of interstitial syndrome with thickened and irregular pleural line associated with confluent B lines and small multifocal subpleural consolidations. RT-PCR for RSV and IV remained negative. Treatment associated supplemental oxygen and enteral nutrition for 6 days. A second episode of acute bronchiolitis occurred 1 month later, but a RT-PCR test for SARS-CoV-2 was negative. The chest X-ray was normal. The child remained hospitalized for 5 days with enteral nutrition support but did not require oxygen supplementation. Long-term treatment with inhaled daily corticosteroids (fluticasone) was introduced.Case 2 : A term-born eutrophic male with otherwise unremarkable neonatal history was referred for poorly tolerated high fever at age 2 months. Both parents had clinical signs of COVID-19 but were not tested (a member of the family had a positive test). The neurologic examination revealed lethargia and hypotonia in the child; the respiratory condition and clinical examination findings including hemodynamics were normal. The first blood test showed lymphopenia (lymphocyte count: 1.86 x109/L; normally 4-6x109/L)without modification of biological inflammatory parameters. Cytobacteriological examination of urine and blood culture were negative and spinal fluid analysis was not performed. RT-PCR testing of a nasopharyngeal swab was positive for SARS-CoV-2 but negative for RSV and IV. The patient did not receive any antibiotics. On day 3 after admission, the respiratory condition progressively worsened, with retraction, wheezing, increased respiratory rate at 80/min and hypoxia (SpO2 < 92%) requiring supplemental oxygen together with enteral nutrition for 3 days. The chest X-ray was normal, and no lung ultrasonography was performed. The infant was returned to the emergency department 2 weeks later with a non-severe wheezing episode and was discharged at home.These 2 cases of COVID-19 in infants hospitalized for poorly tolerated high fever and neurological symptoms in whom acute bronchiolitis developed at a delay of 2 to 8 days suggest that SARS-CoV-2 infection may cause acute bronchiolitis in absence of viral co-infection such as RSV. Pneumonia is the most common diagnosis among symptomatic children with COVID-191. High-resolution CT scan usually shows ground-glass opacities or bilateral lung consolidations, especially in the periphery, and lung ultrasonography, as in our case 1, reveals signs of lung involvement. In contrast, to the best of our knowledge, acute bronchiolitis due to SARS-CoV-2 infection has never been reported. The wheezing episodes described in our patients were likely due to SARS-CoV-2 infection for the following reasons: first, RT-PCR tests for RSV and IV were always negative in both children, and second, the epidemic season for both viruses was over and the lockdown in France was still active at the time of the cases. Finally, previous study of virus repartition in positive respiratory samples from infants with acute bronchiolitis detected close to a 5% frequency of coronaviruses OC43 and 229E2. Moreover, a recent experimental model of COVID-19 in ferrets showed lung lesions compatible with bronchiolitis3. Our patients showed bronchiolitis symptoms several days after those of COVID-19, which may explain the lack of wheezing episodes reported in the literature. Case 2 was diagnosed with recurrent wheezing presumably due to SARS-CoV-2 infection. RSV as well as rhinovirus bronchiolitis is a risk factor for recurrent wheezing and asthma4,5,but little is known about the long-term impact of SARS-CoV-2 infection in lung function trajectory, which emphasizes the need to follow these children. Whether the infection in symptomatic or asymptomatic infants may predispose to recurrent wheezing or asthma remains to be determined.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Pelleau, Stéphane; Woudenberg, Tom; Rosado, Jason; Donnadieu, Françoise; +34 Authors

    AbstractInfection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) induces a complex antibody response that varies by orders of magnitude between individuals and over time. Waning antibody levels lead to reduced sensitivity of serological diagnostic tests over time. This undermines the utility of serological surveillance as the SARS-CoV-2 pandemic progresses into its second year. Here we develop a multiplex serological test for measuring antibodies of three isotypes (IgG, IgM, IgA) to five SARS-CoV-2 antigens (Spike (S), receptor binding domain (RBD), Nucleocapsid (N), Spike subunit 2, Membrane-Envelope fusion) and the Spike proteins of four seasonal coronaviruses. We measure antibody responses in several cohorts of French and Irish hospitalized patients and healthcare workers followed for up to eleven months after symptom onset. The data are analysed with a mathematical model of antibody kinetics to quantify the duration of antibody responses accounting for inter-individual variation. One year after symptoms, we estimate that 36% (95% range: 11%, 94%) of anti-S IgG remains, 31% (9%, 89%) anti-RBD IgG remains, and 7% (1%, 31%) anti-N IgG remains. Antibodies of the IgM isotype waned more rapidly, with 9% (2%, 32%) anti-RBD IgM remaining after one year. Antibodies of the IgA isotype also waned rapidly, with 10% (3%, 38%) anti-RBD IgA remaining after one year. Quantitative measurements of antibody responses were used to train machine learning algorithms for classification of previous infection and estimation of time since infection. The resulting diagnostic test classified previous infections with 99% specificity and 98% (95% confidence interval: 94%, 99%) sensitivity, with no evidence for declining sensitivity over the time scale considered. The diagnostic test also provided accurate classification of time since infection into intervals of 0 – 3 months, 3 – 6 months, and 6 – 12 months. Finally, we present a computational method for serological reconstruction of past SARS-CoV-2 transmission using the data from this test when applied to samples from a single cross-sectional sero-prevalence survey.

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    Other literature type . 2021
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    Authors: Michelangelo Bin; Peter Y. K. Cheung; Emanuele Crisostomi; Pietro Ferraro; +7 Authors

    Author summary Why? The design of post-lockdown mitigation policies while vaccines are still not available is pressing now as new secondary waves of the virus have emerged in many countries (for example, in Spain, France, UK, Italy, Israel, and others), and as several of these countries grapple with the reintroduction of full lockdown measures. What do we do and find? We propose efficacious and realisable methods based on control theory to tame the complex behaviour of COVID-19 in well mixed populations. We achieve this through a policy of fast intermittent lockdown intervals with regular period. We illustrate how our approach offers a fundamentally new perspective on ways to design COVID-19 exit strategies from policies of total lockdown. Our theoretical results are also very general and apply to a wide range of epidemiological models. What do these findings mean? Unlike many other proposed abatement strategies, which have risks and uncertainties possibly leading to multiple waves of infection, we demonstrate that our proposed policies have the potential to suppress the virus outbreak, while at the same time allowing continued economic activity. These policies, while of practical significance, are built on rigorous theoretical results, which are to the best of our knowledge, new in mathematical epidemiology. An extensive validation is carried out using a detailed epidemic model validated on real COVID-19 data from Italy and published very recently in Nature Medicine. COVID-19 abatement strategies have risks and uncertainties which could lead to repeating waves of infection. We show—as proof of concept grounded on rigorous mathematical evidence—that periodic, high-frequency alternation of into, and out-of, lockdown effectively mitigates second-wave effects, while allowing continued, albeit reduced, economic activity. Periodicity confers (i) predictability, which is essential for economic sustainability, and (ii) robustness, since lockdown periods are not activated by uncertain measurements over short time scales. In turn—while not eliminating the virus—this fast switching policy is sustainable over time, and it mitigates the infection until a vaccine or treatment becomes available, while alleviating the social costs associated with long lockdowns. Typically, the policy might be in the form of 1-day of work followed by 6-days of lockdown every week (or perhaps 2 days working, 5 days off) and it can be modified at a slow-rate based on measurements filtered over longer time scales. Our results highlight the potential efficacy of high frequency switching interventions in post lockdown mitigation. All code is available on Github at https://github.com/V4p1d/FPSP_Covid19. A software tool has also been developed so that interested parties can explore the proof-of-concept system.

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    PLoS Computational Biology
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    https://doi.org/10.48550/arxiv...
    Article . 2020
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    Authors: Gerkin, Richard, C.; Ohla, Kathrin; Veldhuizen, Maria, G.; Joseph, Paule, V.; +140 Authors

    In a preregistered, cross-sectional study we investigated whether olfactory loss is a reliable predictor of COVID-19 using a crowdsourced questionnaire in 23 languages to assess symptoms in individuals self-reporting recent respiratory illness. We quantified changes in chemosensory abilities during the course of the respiratory illness using 0-100 visual analog scales (VAS) for participants reporting a positive (C19+; n=4148) or negative (C19-; n=546) COVID-19 laboratory test outcome. Logistic regression models identified univariate and multivariate predictors of COVID-19 status and post-COVID-19 olfactory recovery. Both C19+ and C19- groups exhibited smell loss, but it was significantly larger in C19+ participants (mean±SD, C19+: -82.5±27.2 points; C19-: -59.8±37.7). Smell loss during illness was the best predictor of COVID-19 in both univariate and multivariate models (ROC AUC=0.72). Additional variables provide negligible model improvement. VAS ratings of smell loss were more predictive than binary chemosensory yes/no-questions or other cardinal symptoms (e.g., fever). Olfactory recovery within 40 days of respiratory symptom onset was reported for ~50% of participants and was best predicted by time since respiratory symptom onset. We find that quantified smell loss is the best predictor of COVID-19 amongst those with symptoms of respiratory illness. To aid clinicians and contact tracers in identifying individuals with a high likelihood of having COVID-19, we propose a novel 0-10 scale to screen for recent olfactory loss, the ODoR-19. We find that numeric ratings ≤2 indicate high odds of symptomatic COVID-19 (4

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    Chemical Senses
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    Other literature type . Article . 2021 . 2020
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    Other literature type . 2020
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    Article . 2021
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    Authors: Nunes, S��rgio; Little, Suzanne; Bhatia, Sumit; Boratto, Ludovico; +10 Authors

    ECIR 2020 https://ecir2020.org/ was one of the many conferences affected by the COVID-19 pandemic. The Conference Chairs decided to keep the initially planned dates (April 14-17, 2020) and move to a fully online event. In this report, we describe the experience of organizing the ECIR 2020 Workshops in this scenario from two perspectives: the workshop organizers and the workshop participants. We provide a report on the organizational aspect of these events and the consequences for participants. Covering the scientific dimension of each workshop is outside the scope of this article. 10 pages, 3 figures, submitted to ACM SIGIR Forum

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    https://doi.org/10.48550/arxiv...
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    Authors: AMMAR, ACHRAF; Brach, Michael; Trabelsi, Khaled; Chtourou, Hamdi; +53 Authors

    AbstractBackgroundPublic health recommendations and governmental measures during the COVID-19 pandemic have enforced numerous restrictions on daily living including social distancing, isolation and home confinement. While these measures are imperative to abate the spreading of COVID-19, the impact of these restrictions on health behaviours and lifestyle at home is undefined. Therefore, an international online survey was launched in April 2020 in seven languages to elucidate the behavioral and lifestyle consequences of COVID-19 restrictions. This report presents the preliminary results from the first thousand responders on physical activity (PA) and nutrition behaviours.MethodsThirty-five research organisations from Europe, North-Africa, Western Asia and the Americas promoted the survey through their networks to the general society, in English, German, French, Arabic, Spanish, Portugese, and Slovenian languages. Questions were presented in a differential format with questions related to responses “before” and “during” confinement conditions.Results1047 replies (54% women) from Asia (36%), Africa (40%), Europe (21%) and other (3%) were included into a general analysis. The COVID-19 home confinement had a negative effect on all intensities of PA (vigorous, moderate, walking and overall). Conversely, daily sitting time increased from 5 to 8 hours per day. Additionally, food consumption and meal patterns (the type of food, eating out of control, snacks between meals, number of meals) were more unhealthy during confinement with only alcohol binge drink decreasing significantly.ConclusionWhile isolation is a necessary measure to protect public health, our results indicate that it alters physical activity and eating behaviours in a direction that would compromise health. A more detailed analysis of survey data will allow for a segregation of these responses in different age groups, countries and other subgroups which will help develop bespoke interventions to mitigate the negative lifestyle behaviors manifest during the COVID-19 confinement.

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    Authors: Yilmaz, Ozge; Gochicoa‐Rangel, Laura; Blau, Hannah; Epaud, Ralph; +6 Authors

    To the editor,Following the online podcast recorded the 31 March 2020 by the International Committee of the American Thoracic Society Pediatrics Assembly and recently published in Pediatric Pulmonology1, we have interesting discussion with my international colleagues about the likelihood of acute bronchiolitis caused by SARS-CoV-2 infection in absence of RSV co-infection. Here, we report 2 cases of COVID-19 in infants < 3 months old admitted to our paediatric unit. The infants presented fever and neurological symptoms and after a short period, acute bronchiolitis.Case 1 : A term-born boy with unremarkable history was admitted to the emergency department with poorly tolerated high fever (38.8°C) and rhinitis. The parents, who had no history of asthma or allergy, showed clinical signs suggesting SARS-CoV-2 infection. RT-PCR for SARS-CoV-2 on a nasopharyngeal swab was positive for the father and the grandfather, who was hospitalized in the intensive care unit. Neurologic examination of the infant revealed lethargy and hypotonia with a bulging anterior fontanelle. The respiratory condition and clinical examination findings including hemodynamics were normal.The first blood test showed isolated lymphopenia (lymphocyte count 1.56 x109/L; normally 4-6x109/L) without modification of biological inflammatory parameters, as assessed by normal levels of C-reactive protein (CRP) and procalcitonin (PCT). Spinal fluid analysis, cytobacteriological urine analysis and blood culture were negative. RT-PCR of a nasopharyngeal swab was positive for SARS-CoV-2 but negative for respiratory syncytial virus (RSV) and influenza virus (IV). The patient received fluid volume expansion(20 ml/Kg of 0.9% sodium chloride solution) together with antibiotic treatment (cefotaxime, amoxicillin and gentamicin at meningeal doses) for 24 hr, that was stopped with a positive RT-PCR test for SARS-CoV-2 and negative blood culture. Favourable clinical outcome was obtained shortly thereafter, allowing the infant to return home 2 days later.Ten days later, the child returned with acute bronchiolitis. Respiratory symptoms included polypnea, shortness of breath, wheezing and hypoxia (SpO2< 92 %). Lung ultrasonography revealed signs of interstitial syndrome with thickened and irregular pleural line associated with confluent B lines and small multifocal subpleural consolidations. RT-PCR for RSV and IV remained negative. Treatment associated supplemental oxygen and enteral nutrition for 6 days. A second episode of acute bronchiolitis occurred 1 month later, but a RT-PCR test for SARS-CoV-2 was negative. The chest X-ray was normal. The child remained hospitalized for 5 days with enteral nutrition support but did not require oxygen supplementation. Long-term treatment with inhaled daily corticosteroids (fluticasone) was introduced.Case 2 : A term-born eutrophic male with otherwise unremarkable neonatal history was referred for poorly tolerated high fever at age 2 months. Both parents had clinical signs of COVID-19 but were not tested (a member of the family had a positive test). The neurologic examination revealed lethargia and hypotonia in the child; the respiratory condition and clinical examination findings including hemodynamics were normal. The first blood test showed lymphopenia (lymphocyte count: 1.86 x109/L; normally 4-6x109/L)without modification of biological inflammatory parameters. Cytobacteriological examination of urine and blood culture were negative and spinal fluid analysis was not performed. RT-PCR testing of a nasopharyngeal swab was positive for SARS-CoV-2 but negative for RSV and IV. The patient did not receive any antibiotics. On day 3 after admission, the respiratory condition progressively worsened, with retraction, wheezing, increased respiratory rate at 80/min and hypoxia (SpO2 < 92%) requiring supplemental oxygen together with enteral nutrition for 3 days. The chest X-ray was normal, and no lung ultrasonography was performed. The infant was returned to the emergency department 2 weeks later with a non-severe wheezing episode and was discharged at home.These 2 cases of COVID-19 in infants hospitalized for poorly tolerated high fever and neurological symptoms in whom acute bronchiolitis developed at a delay of 2 to 8 days suggest that SARS-CoV-2 infection may cause acute bronchiolitis in absence of viral co-infection such as RSV. Pneumonia is the most common diagnosis among symptomatic children with COVID-191. High-resolution CT scan usually shows ground-glass opacities or bilateral lung consolidations, especially in the periphery, and lung ultrasonography, as in our case 1, reveals signs of lung involvement. In contrast, to the best of our knowledge, acute bronchiolitis due to SARS-CoV-2 infection has never been reported. The wheezing episodes described in our patients were likely due to SARS-CoV-2 infection for the following reasons: first, RT-PCR tests for RSV and IV were always negative in both children, and second, the epidemic season for both viruses was over and the lockdown in France was still active at the time of the cases. Finally, previous study of virus repartition in positive respiratory samples from infants with acute bronchiolitis detected close to a 5% frequency of coronaviruses OC43 and 229E2. Moreover, a recent experimental model of COVID-19 in ferrets showed lung lesions compatible with bronchiolitis3. Our patients showed bronchiolitis symptoms several days after those of COVID-19, which may explain the lack of wheezing episodes reported in the literature. Case 2 was diagnosed with recurrent wheezing presumably due to SARS-CoV-2 infection. RSV as well as rhinovirus bronchiolitis is a risk factor for recurrent wheezing and asthma4,5,but little is known about the long-term impact of SARS-CoV-2 infection in lung function trajectory, which emphasizes the need to follow these children. Whether the infection in symptomatic or asymptomatic infants may predispose to recurrent wheezing or asthma remains to be determined.

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