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  • Corona Virus Disease

  • 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: Cavalcante, Thalitta Mendes; Gubert, Vanessa Terezinha; Lima, Carolina de Deus; Luciano, Larissa Anjos; +14 Authors

    Abstract Peripheral facial paralysis (PFP) has been shown to be a neurological manifestation of COVID-19. The current study presents two cases of PFP after COVID-19, along with a rapid review of known cases in the literature. Both case reports were conducted following CARE guidelines. We also performed a systematic review of PFP cases temporally related to COVID-19 using PubMed, Embase, and Cochrane Library databases on August 30, 2021, using a rapid review methodology. The two patients experienced PFP 102 and 110 days after COVID-19 symptom onset. SARS-CoV-2 RNA was detected in nasal samples through reverse-transcription real-time polymerase chain reaction (RT-qPCR) testing. Anosmia was the only other neurological manifestation. PFP was treated with steroids in both cases, with complete subsequent recovery. In the rapid review, we identified 764 articles and included 43 studies. From those, 128 patients with PFP were analyzed, of whom 42.1% (54/128) were male, 39.06% (50/128) female, and in 23 cases the gender was not reported. The age range was 18 to 59 (54.68%). The median time between COVID-19 and PFP was three days (ranging from the first symptom of COVID-19 to 40 days after the acute phase of infection). Late PFP associated with COVID-19 presents mild symptoms and improves with time, with no identified predictors. Late PFP should be added to the spectrum of neurological manifestations associated with the long-term effects of SARS-CoV-2 infection as a post COVID-19 condition.

    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/ figsharearrow_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/
    figshare
    Dataset . 2022
    License: CC BY
    Data sources: Datacite
    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/
    figshare
    Dataset . 2022
    License: CC BY
    Data sources: Datacite
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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/ figsharearrow_drop_down
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      Dataset . 2022
      License: CC BY
      Data sources: Datacite
      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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      Dataset . 2022
      License: CC BY
      Data sources: Datacite
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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: Ian Macedo; Luciana Rech; Ricardo Moraes;

    Este �� um dataset de tu��tes ��nicos em portugu��s relacionados �� COVID-19. Os tu��tes compartilhados aqui possuem apenas o ID, devido aos termos e condi����es do Twitter para redistribuir dados do Twitter APENAS para prop��sito de pesquisa. Eles precisam ser hidratados para ser usados. Os conjuntos de dados cont��m tu��tes dos meses de mar��o de 2020 e 2021. Ap��s a hidrata����o, ser��o 936.866 tu��tes de mar/2020 e 599.638 tu��tes de mar/ 2021. Este conjunto �� um subproduto do trabalho de Banda et al. (2021). Link: https://zenodo.org/record/4603998#.YbkUIb3MJPa -------------- This is a dataset with portuguese unique tweets related to COVID-19. Tweets shared here only have the ID, due to Twitter's terms and conditions to redistribute Twitter data for research purposes ONLY. They need to be hydrated to be used. The datasets contain tweets for the months of March 2020 and 2021. After hydration, there will be 936,866 tweets from Mar/2020 and 599,638 tweets from Mar/2021. This dataset is a by-product of the work by Banda et al. (2021). Link: https://zenodo.org/record/4603998#.YbkUIb3MJPa {"references": ["Banda et al. (2021). https://doi.org/10.3390/epidemiologia2030024"]}

    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/ ZENODOarrow_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/
    ZENODO
    Dataset . 2021
    Data sources: Datacite
    ZENODO
    Dataset . 2021
    Data sources: ZENODO
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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/ ZENODOarrow_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/
      ZENODO
      Dataset . 2021
      Data sources: Datacite
      ZENODO
      Dataset . 2021
      Data sources: ZENODO
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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: Melo, Maria do Carmo Barros de; Tupinambás, Unaí; Ferri, Priscila Menezes; Godoy, Solange Cervinho Bicalho; +4 Authors

    Abstract: Introduction: Preventing and fighting COVID-19 are of the utmost importance. In this context, the importance of using telemedicine tools has grown, including teleconsultations, epidemiological telemonitoring, remote diagnosis, support, and training of health professionals. Objective: This article aims to report the results of a distance-training course on SARS-CoV-2 and COVID-19. We analyze the course adherence, the students’ profile, pre, and post-test proficiency index and satisfaction with the course. Methods: This is a cross-sectional study that evaluated data from the course on SARS-CoV-2 and COVID-19. The data were analyzed in terms of distribution and comparisons of means and frequencies. A paired t-test was used to compare the pre and post-test grades. A p-value <0.05 was considered significant. Data were collected from the Moodle teaching platform, without identifying the participants. Results: From March 23 to May 14, the course was offered to 1,008 medical students and health care providers. Most were from the state of Minas Gerais, some from other Brazilian states, and Mozambique. The majority completed the course, with an 89.8% adherence. The evaluations related to the course, the tutors, the degree of satisfaction, and the security for the professional performance after the course obtained maximum scores. The comparison between the pre and post grades showed proficiency gain (p<0.0001). Conclusion: The course has contributed to the training of medical students and health professionals from Brazil and Mozambique. The organizing committee was able to prepare students and provide knowledge to professionals with difficulty to access good technical and evidence-based information. After the training, the students were selected to work on university projects aiming at supporting city halls, health departments, and the community.

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    figshare
    Dataset . 2022
    License: CC BY
    Data sources: Datacite
    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/
    figshare
    Dataset . 2022
    License: CC BY
    Data sources: Datacite
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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/ figsharearrow_drop_down
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      figshare
      Dataset . 2022
      License: CC BY
      Data sources: Datacite
      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/
      figshare
      Dataset . 2022
      License: CC BY
      Data sources: Datacite
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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: Andre S. Godoy (8892134); Tobias Krojer (1385454); Aline M. Nakamura (5731316); Alice Douangamath (2722762); +5 Authors

    The non-structural protein 15 (NSP15, NendoUSARS-CoV-2) from severe acute respiratory syndrome 2 virus (SARS-CoV-2) is an uridylate-specific endoribonuclease, likely responsible in the viral immune evasion mechanism. This TEP provides a set of reagents for further interrogation of the molecular function of NSP15. We have established a purification protocol for the active protein for biochemical and structural studies. Moreover, we have crystallised the protein and performed a crystallographic fragment screen which yielded several hits. Data generated here will be used for the development of enzyme inhibitors that would illuminate the biological role of the gene product, and eventually point the way to new antiviral therapies. This document represents version 1 of the TEP datasheet and includes all updates on the project as of November 2020. For more information about TEPs and the TEP Programme, please visit https://www.cmd.ox.ac.uk/TEP.

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    Smithsonian figshare
    Dataset . 2020
    License: CC BY
    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/
    ZENODO
    Dataset . 2020
    License: CC BY
    Data sources: ZENODO
    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/
    Smithsonian figshare
    Dataset . 2020
    License: CC BY
    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/
    ZENODO
    Dataset . 2020
    License: CC BY
    Data sources: ZENODO
    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/
    ZENODO
    Dataset . 2020
    License: CC BY
    Data sources: Datacite
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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/ Smithsonian figsharearrow_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/
      Smithsonian figshare
      Dataset . 2020
      License: CC BY
      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/
      ZENODO
      Dataset . 2020
      License: CC BY
      Data sources: ZENODO
      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/
      Smithsonian figshare
      Dataset . 2020
      License: CC BY
      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/
      ZENODO
      Dataset . 2020
      License: CC BY
      Data sources: ZENODO
      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/
      ZENODO
      Dataset . 2020
      License: CC BY
      Data sources: Datacite
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    Authors: Alves, Lais Isidoro; Bosco, Adriana Aparecida; Rosa, Adriana Aparecida; Correia, Marcia Regina Soares; +2 Authors

    Additional file 1: Table S1. Data at admission, laboratory data and treatment. Table S2. Frquency of hospital permanence. Table S3. Clinical data of COVID-19 patients with diabetes on hospital admission. Table S4. Laboratory data of COVID-19 patients with diabetes on-admission. Table S5. Treatment data during hospitalization of COVID-19 patients with diabetes. Table S6. Clinical data of COVID-19 patients withou diabetes on hospital admission. Table S7. Laboratory data of COVID-19 patients without diabetes on-admission. Table S8. Treatment data during hospitalization of COVID-19 patient withou diabetes. Table S9. Clinical data of COVID-19 patients on hospital admission that went to death. Table S10. Laboratory data of COVID-19 patients that went to death on-admission. Table S11. Treatment data during hospitalization of COVID-19 patients that went to death. Table S12. Frequency of according to age. Table S13. Frequency of death according to body mass index. Table S14. Frquency of death according to glucose levels. Table S15. Multivariate correlations among standard variables obtained at patient admission. Table S16. First two principal components from the inflammation related variables obtained at patient. Table S17. Multivariate correlations among inflammation related variables obtained at patient admission. Table S18. Multivariate correlations among coagulation related variables obtained at patient admission. Table S19. Multivariate correlations among variables related to renal function obtained at patient. Figure S1. Receiver Operator Characteristic (ROC) curves on the outcome death/release of the laboratory data obtained at patient at admission Adm PC 1 (A) and Adm PC2 (B).

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    figshare
    Dataset . 2023
    License: CC BY
    Data sources: Datacite
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    Dataset . 2023
    License: CC BY
    Data sources: Datacite
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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/ figsharearrow_drop_down
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      figshare
      Dataset . 2023
      License: CC BY
      Data sources: Datacite
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      Dataset . 2023
      License: CC BY
      Data sources: Datacite
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    Authors: González, Jessica; Benítez, Iván D.; de Gonzalo-Calvo, David; Torres, Gerard; +27 Authors

    Abstract Question We evaluated whether the time between first respiratory support and intubation of patients receiving invasive mechanical ventilation (IMV) due to COVID-19 was associated with mortality or pulmonary sequelae. Materials and methods Prospective cohort of critical COVID-19 patients on IMV. Patients were classified as early intubation if they were intubated within the first 48 h from the first respiratory support or delayed intubation if they were intubated later. Surviving patients were evaluated after hospital discharge. Results We included 205 patients (140 with early IMV and 65 with delayed IMV). The median [p25;p75] age was 63 [56.0; 70.0] years, and 74.1% were male. The survival analysis showed a significant increase in the risk of mortality in the delayed group with an adjusted hazard ratio (HR) of 2.45 (95% CI 1.29–4.65). The continuous predictor time to IMV showed a nonlinear association with the risk of in-hospital mortality. A multivariate mortality model showed that delay of IMV was a factor associated with mortality (HR of 2.40; 95% CI 1.42–4.1). During follow-up, patients in the delayed group showed a worse DLCO (mean difference of − 10.77 (95% CI − 18.40 to − 3.15), with a greater number of affected lobes (+ 1.51 [95% CI 0.89–2.13]) and a greater TSS (+ 4.35 [95% CI 2.41–6.27]) in the chest CT scan. Conclusions Among critically ill patients with COVID-19 who required IMV, the delay in intubation from the first respiratory support was associated with an increase in hospital mortality and worse pulmonary sequelae during follow-up.

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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: Martin, Margot Marie; Knobel, Roxana; Nandi, Vitor; Pereira, Jessica Goedert; +2 Authors

    Abstract Objective The present study aimed to evaluate the antenatal care adequacy for women who gave birth at the University Hospital of Santa Catarina in Florianopolis (Brazil) during the COVID-19 pandemic, and to evaluate the association of adequacy with sociodemographic, clinical, and access characteristics. Methods Data were collected between October and December 2020, including 254 patients who delivered in the University Hospital from Federal University of Santa Catarina and answered our questionnaires. Additional data were obtained from patients’ antenatal booklets. Antenatal care was classified as adequate, intermediate, or inadequate according to the number of appointments, gestational age at the beginning of follow-up, and tests results. We carried out a descriptive statistical analysis and a bivariate/with odds ratio analysis onmaternal sociodemographic, clinical and health access variables that were compared with antenatal adequacy. Results Antenatal care was considered adequate in 35.8% of cases, intermediate in 46.8%, and inadequate in 17.4%. The followingmaternal variables were associated with inadequate prenatal care (intermediate or inadequate prenatal care): having black or brown skin colour, having two or more children, being of foreign nationality, not being fluent in Portuguese, and using illicit drugs during pregnancy; the clinical variables were more than 6 weeks between appointments, and not attending high-risk antenatal care; as for access, the variables were difficulties in attending or scheduling appointments, and attending virtual appointments only. Conclusion In a sample of pregnant women from a teaching hospital in Florianópolis during the COVID-19 pandemic, antenatal care was considered adequate in 35.8%, intermediate in 46.8%, and inadequate in 17.4% of cases.

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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: Garcia, Kerolyn Ramos; Bento, Andrea Pecce; de Oliveira, Aline Gomes; da Silva, Rafaela Alves; +3 Authors

    Abstract Background In front of the physical and social isolation, as well as feelings of fear and instability imposed by the pandemic of COVID-19, especially for risk groups such as people 50 + , it became even more relevant to discuss the formulation of personal plans for this age population. This study aimed to analyse the individual plans of people 50 + , considering their perception, feelings and life experiences during the COVID-19 pandemic. Methods This is a mixed study (quali-quantitative), using Minayo’s methodology for content analysis and frequency analyses, made with 39 participants from the University of Brasília Educational Program, Universidade do Envelhecer – UniSER/UnB. We used a word cloud system and a wheel of life tool to showcase the results. Results Analysing professional achievements and situations participants want to overcome, the categories of feelings that stand out were Loving Relationships, Sadness, Family Absence, Grief, Trauma and Regret. Intellectual Development, Personal Fulfilment, Purpose and Creativity, Hobbies and Fun were the most mentioned personal plans displayed by the wheel of life. The key personal changes mentioned were to be less shy, prioritise themselves, change how they interact with others, and focus on their health. Conclusions This study concludes that perception, feelings and life experiences during the COVID-19 pandemic did not seem to directly affect the path in elaborating personal plans.

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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: Mah, Jasmine Cassy; Penwarden, Jodie Lynn; Pott, Henrique; Theou, Olga; +1 Authors

    Abstract Background Social vulnerability occurs when the disadvantage conveyed by poor social conditions determines the degree to which one’s life and livelihood are at risk from a particular and identifiable event in health, nature, or society. A common way to estimate social vulnerability is through an index aggregating social factors. This scoping review broadly aimed to map the literature on social vulnerability indices. Our main objectives were to characterize social vulnerability indices, understand the composition of social vulnerability indices, and describe how these indices are utilized in the literature. Methods A scoping review was conducted in six electronic databases to identify original research, published in English, French, Dutch, Spanish or Portuguese, and which addressed the development or use of a social vulnerability index (SVI). Titles, abstracts, and full texts were screened and assessed for eligibility. Data were extracted on the indices and simple descriptive statistics and counts were used to produce a narrative summary. Results In total, 292 studies were included, of which 126 studies came from environmental, climate change or disaster planning fields of study and 156 studies were from the fields of health or medicine. The mean number of items per index was 19 (SD 10.5) and the most common source of data was from censuses. There were 122 distinct items in the composition of these indices, categorized into 29 domains. The top three domains included in the SVIs were: at risk populations (e.g., % older adults, children or dependents), education, and socioeconomic status. SVIs were used to predict outcomes in 47.9% of studies, and rate of Covid-19 infection or mortality was the most common outcome measured. Conclusions We provide an overview of SVIs in the literature up to December 2021, providing a novel summary of commonly used variables for social vulnerability indices. We also demonstrate that SVIs are commonly used in several fields of research, especially since 2010. Whether in the field of disaster planning, environmental science or health sciences, the SVIs are composed of similar items and domains. SVIs can be used to predict diverse outcomes, with implications for future use as tools in interdisciplinary collaborations.

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    Authors: Marques, Danusa; Rangel Candido, Marcia; Elias de Oliveira, Vanessa; Biroli, Flávia;

    Survey online “O impacto da pandemia nas rotinas de trabalho nas Ciências Sociais”, coordenado pela Associação Nacional de Pós-Graduação e Pesquisa em Ciências Sociais (ANPOCS), em parceria com a Associação Brasileira de Ciência Política (ABCP), a Sociedade Brasileira de Sociologia (SBS) e a Associação Brasileira de Antropologia (ABA). Aplicado em junho/2020. O presente questionário pretende traçar um perfil das consequências da pandemia de Covid-19 na organização da vida acadêmica e familiar de cientistas sociais no Brasil.

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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: Cavalcante, Thalitta Mendes; Gubert, Vanessa Terezinha; Lima, Carolina de Deus; Luciano, Larissa Anjos; +14 Authors

    Abstract Peripheral facial paralysis (PFP) has been shown to be a neurological manifestation of COVID-19. The current study presents two cases of PFP after COVID-19, along with a rapid review of known cases in the literature. Both case reports were conducted following CARE guidelines. We also performed a systematic review of PFP cases temporally related to COVID-19 using PubMed, Embase, and Cochrane Library databases on August 30, 2021, using a rapid review methodology. The two patients experienced PFP 102 and 110 days after COVID-19 symptom onset. SARS-CoV-2 RNA was detected in nasal samples through reverse-transcription real-time polymerase chain reaction (RT-qPCR) testing. Anosmia was the only other neurological manifestation. PFP was treated with steroids in both cases, with complete subsequent recovery. In the rapid review, we identified 764 articles and included 43 studies. From those, 128 patients with PFP were analyzed, of whom 42.1% (54/128) were male, 39.06% (50/128) female, and in 23 cases the gender was not reported. The age range was 18 to 59 (54.68%). The median time between COVID-19 and PFP was three days (ranging from the first symptom of COVID-19 to 40 days after the acute phase of infection). Late PFP associated with COVID-19 presents mild symptoms and improves with time, with no identified predictors. Late PFP should be added to the spectrum of neurological manifestations associated with the long-term effects of SARS-CoV-2 infection as a post COVID-19 condition.

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    Authors: Ian Macedo; Luciana Rech; Ricardo Moraes;

    Este �� um dataset de tu��tes ��nicos em portugu��s relacionados �� COVID-19. Os tu��tes compartilhados aqui possuem apenas o ID, devido aos termos e condi����es do Twitter para redistribuir dados do Twitter APENAS para prop��sito de pesquisa. Eles precisam ser hidratados para ser usados. Os conjuntos de dados cont��m tu��tes dos meses de mar��o de 2020 e 2021. Ap��s a hidrata����o, ser��o 936.866 tu��tes de mar/2020 e 599.638 tu��tes de mar/ 2021. Este conjunto �� um subproduto do trabalho de Banda et al. (2021). Link: https://zenodo.org/record/4603998#.YbkUIb3MJPa -------------- This is a dataset with portuguese unique tweets related to COVID-19. Tweets shared here only have the ID, due to Twitter's terms and conditions to redistribute Twitter data for research purposes ONLY. They need to be hydrated to be used. The datasets contain tweets for the months of March 2020 and 2021. After hydration, there will be 936,866 tweets from Mar/2020 and 599,638 tweets from Mar/2021. This dataset is a by-product of the work by Banda et al. (2021). Link: https://zenodo.org/record/4603998#.YbkUIb3MJPa {"references": ["Banda et al. (2021). https://doi.org/10.3390/epidemiologia2030024"]}

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    ZENODO
    Dataset . 2021
    Data sources: Datacite
    ZENODO
    Dataset . 2021
    Data sources: ZENODO
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      ZENODO
      Dataset . 2021
      Data sources: Datacite
      ZENODO
      Dataset . 2021
      Data sources: ZENODO
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    Authors: Melo, Maria do Carmo Barros de; Tupinambás, Unaí; Ferri, Priscila Menezes; Godoy, Solange Cervinho Bicalho; +4 Authors

    Abstract: Introduction: Preventing and fighting COVID-19 are of the utmost importance. In this context, the importance of using telemedicine tools has grown, including teleconsultations, epidemiological telemonitoring, remote diagnosis, support, and training of health professionals. Objective: This article aims to report the results of a distance-training course on SARS-CoV-2 and COVID-19. We analyze the course adherence, the students’ profile, pre, and post-test proficiency index and satisfaction with the course. Methods: This is a cross-sectional study that evaluated data from the course on SARS-CoV-2 and COVID-19. The data were analyzed in terms of distribution and comparisons of means and frequencies. A paired t-test was used to compare the pre and post-test grades. A p-value <0.05 was considered significant. Data were collected from the Moodle teaching platform, without identifying the participants. Results: From March 23 to May 14, the course was offered to 1,008 medical students and health care providers. Most were from the state of Minas Gerais, some from other Brazilian states, and Mozambique. The majority completed the course, with an 89.8% adherence. The evaluations related to the course, the tutors, the degree of satisfaction, and the security for the professional performance after the course obtained maximum scores. The comparison between the pre and post grades showed proficiency gain (p<0.0001). Conclusion: The course has contributed to the training of medical students and health professionals from Brazil and Mozambique. The organizing committee was able to prepare students and provide knowledge to professionals with difficulty to access good technical and evidence-based information. After the training, the students were selected to work on university projects aiming at supporting city halls, health departments, and the community.

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    figshare
    Dataset . 2022
    License: CC BY
    Data sources: Datacite
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    figshare
    Dataset . 2022
    License: CC BY
    Data sources: Datacite
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      figshare
      Dataset . 2022
      License: CC BY
      Data sources: Datacite
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      Dataset . 2022
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      Data sources: Datacite
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    Authors: Andre S. Godoy (8892134); Tobias Krojer (1385454); Aline M. Nakamura (5731316); Alice Douangamath (2722762); +5 Authors

    The non-structural protein 15 (NSP15, NendoUSARS-CoV-2) from severe acute respiratory syndrome 2 virus (SARS-CoV-2) is an uridylate-specific endoribonuclease, likely responsible in the viral immune evasion mechanism. This TEP provides a set of reagents for further interrogation of the molecular function of NSP15. We have established a purification protocol for the active protein for biochemical and structural studies. Moreover, we have crystallised the protein and performed a crystallographic fragment screen which yielded several hits. Data generated here will be used for the development of enzyme inhibitors that would illuminate the biological role of the gene product, and eventually point the way to new antiviral therapies. This document represents version 1 of the TEP datasheet and includes all updates on the project as of November 2020. For more information about TEPs and the TEP Programme, please visit https://www.cmd.ox.ac.uk/TEP.

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    Dataset . 2020
    License: CC BY
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    ZENODO
    Dataset . 2020
    License: CC BY
    Data sources: ZENODO
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    Dataset . 2020
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    ZENODO
    Dataset . 2020
    License: CC BY
    Data sources: ZENODO
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    ZENODO
    Dataset . 2020
    License: CC BY
    Data sources: Datacite
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      Dataset . 2020
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      ZENODO
      Dataset . 2020
      License: CC BY
      Data sources: ZENODO
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