Advanced search in Research products
Research products
arrow_drop_down
Searching FieldsTerms
Any field
arrow_drop_down
includes
arrow_drop_down
Include:
The following results are related to COVID-19. Are you interested to view more results? Visit OpenAIRE - Explore.
101 Research products, page 1 of 11

  • COVID-19
  • Research data
  • Other research products
  • 2017-2021
  • Closed Access
  • English
  • COVID-19

10
arrow_drop_down
Date (most recent)
arrow_drop_down
  • Closed Access English
    Authors: 
    Legierse, T.; Notsu, A.; Hiemstra, M.; Wijk, W. van; Minter, T. et al.;

    Essays of 68 CADS students show their struggle with the effects of the Covid-19 measures. This blog reveals how students navigate the crisis and, in light of a recent Monitor on student mental wellbeing, calls for more qualitative inquiry into underlying issues in order to find solutions.

  • Closed Access English
    Authors: 
    Correia, Cláudio Lima;
    Country: Portugal

    The outbreak of tfe Severe Acute Respiratory Syndrome – Coronavirus 2 (SARS-CoV-2) – also known as COVID 19 has brought global insecurity and fear to our society. Every country in the worl figts together against the spread of this deadly disease with joining efforts. Among the standard models for COVID-19 global pandemic prediction, simple epidemiological and statistical models have received more attention from authorities, wich are popular in the media.Officials around the world are using several outbreak prediction models for COVID-19 to make informe decisions and enforce relevant control measures. Due to a high level of uncertainty and lack of essential data, standard models have shown low accuracy for long-term prediction. This work aims to show na explaratory data analysis od COVID-19 worlwide to understand the real threats and the subsequente planning of containment/mitigation actions. The machine learning models were used to study and understand the everyday exponential bahavior of the COVID-19 across the nations using real-time information from johns Hopkins University and, in particular, in Portugal, with real-time information from Portugal Health Ministry to predict future reachability. In this work, modeling diferente algorithms and evaluating their performance. These algorithms are Polynominal Regression, Support Vector Regression. For the Portuguese dataset, we modeled and evaluated the following algoritms’ performance: Linera Regression, Plynominal Regression, Support Vector Regression, Multilayer Perceptron, and Poly-MultilayerPerceptron. This work also compares three different countries (but very similar – Portugal, Spain and Italy). In the particular case of Portugal, the containment/mitigation actions used by the portuguese government were explored. A comparative analysis was also caried out between Portugal, Spain, and Italy, since the first reported case, in each country, over two months. We also study the effectiveness of mitigation measures, defined by the Portugues government, carried out by the health authorities and my fellow citizens. In the worldwide prediction of the first wave of COVID-19, the best model is the Polynominal Regression model (R-squared – 0.787, MAE – 540.39, RMSE – 782.14, nd the execution time is 0.16s), and in the second wave, the best model is Support Vector Regression (R-squared – 0.996, MAE – 17.41, RMSE 18.98, and the execution time is 0.35s). In the portuguese predictions of COVID-19 (diferente waves), the best model are Polynominal Regression, Multlayer Perceptron, and Poly-MultilayerPerceptron prediction models. In comparing three diferent countries (Portugal, Spain, and Italy), Portugal had the best performance in the testing and mitigation policies. In the study of effectiveness of mitigation measures, defined by the Portuguese government, as soon as the implementation of mitigation measures mores effective are the result of mitigation of the disease.

  • Closed Access English
    Authors: 
    Geanta, M.; Tanwar, A.S.; Lehrach, H.; Satyamoorthy, K.; Brand, A.;

    The Covid-19 pandemic accelerated research and development not only in infectious diseases but also in digital technologies to improve monitoring, forecasting, and intervening on planetary and ecological risks. In the European Commission, the Destination Earth (DestinE) is a current major initiative to develop a digital model of the Earth (a "digital twin") with high precision. Moreover, omics systems science is undergoing digital transformation impacting nearly all dimensions of the field, including real-time phenotype capture to data analytics using machine learning and artificial intelligence, to name but a few emerging frontiers. We discuss the ways in which the current ongoing digital transformation in omics offers synergies with digital twins/DestinE. Importantly, we note here the rise of a new field of scholarship, planetary health genomics. We conclude that digital transformation in public and private sectors, digital twins/DestinE, and their convergence with omics systems science are poised to build robust capacities for pandemic preparedness and resilient societies in the 21st century.

  • Other research product . Other ORP type . 2021
    Closed Access English
    Authors: 
    Mellupe, Renata;
    Publisher: Syddansk Universitet. Det Samfundsvidenskabelige Fakultet
    Country: Denmark

    Forskning i, hvordan stressfaktorer i forbindelse med udfordringer og hindringer påvirker performance, er vokset stærkt frem i litteraturen om organisatorisk stress. Vores forståelse af de mekanismer, som kan forklare disse effekter, er dog stadig begrænset. Denne artikelbaserede afhandling, som tager afsæt i udfordrings-/hindrings stressmodellen og transaktionsteori omkring stress, behandler i tre forskningsartikler spørgsmålet om, hvordan stressfaktorer påvirker performance ved at undersøge underliggende kognitive mekanismer og faktorer, som er relateret til disse effekter. Den første artikel har fokus på, hvordan udfordrings- og hindringsvurdering bidrager til vores forståelse af sammenhængen mellem stressfaktorer og performance. Artiklen præsenterer en oversigt over empiriske resultater, og stiller de studier, som måler vurderinger og de studier, der ikke tager vurderinger med i betragtning op overfor hinanden. Den konkluderer, at måling af vurderinger giver et mere detaljeret billede af sammenhængene mellem stressfaktorer og performancerelaterede resultater. Den anden artikel beskriver et præregistreret eksperimentelt studie, som har undersøgt virkningen af stressfaktorens styrke (opgavesværhedsgrad) på udfordrings-/hindringsvurderinger og performance af en krævende kognitiv opgave. Studiet fandt en ikke-lineære effekt af opgavesværhedsgrad på udfordringsvurderinger, mens effekten på hindringsvurderinger var lineær. Samtidig bekræfter det hindringsvurderingens medierende rolle i sammenhængen mellem opgavesværhedsgrad og performance. Den tredje artikel beskriver to studier. Studie 1 er et præregistreret eksperiment, som udforsker, hvilken rolle tidligere erfaringer og feedback spiller i det dynamiske stressforløb. Artiklen fokuserer især på, hvordan opgaveperformance, vist som en sideløbende performance feedback (dvs. simultan præsentation af opadgående social sammenligning og objektiv feedback) medierer ændringer i udfordrings- og hindringsvurderinger. Studie 1 underbygger delvist dets hypoteser om indirekte effekter. Studie 2 bygger på Studie 1 og anvender derudover eye-tracking til at undersøge sammenhængene mellem udfordrings-/hindringsvurderinger og opmærksomhed på de to nævnte aspekter af sideløbende feedback for at kaste lys på hvilke opmærksomhedsprocesser, der ligger bag de effekter, der blev fundet i Studie 1. Studie 2 er i øjeblikket i gang med dataindsamling og er ikke afsluttet på grund af COVID-19-inducerede restriktioner på laboratoriet. Denne afhandlings overordnede resultater anbefaler en gentænkning af den nuværende forståelsesramme for udfordrings-/hindrings stressmodellen ved at åbne for en mere kompleks konceptualisering af sammenhængen mellem stressfaktorer og performance i organisationer. Research on the effects of challenge and hindrance stressors on performance is burgeoning in organizational stress literature. Nevertheless, our understanding of the mechanisms explaining these effects is still limited. Grounded in the challenge-hindrance stressor framework and the transactional theory of stress, this article-based dissertation addresses the question of how stressors produce their effects on performance by investigating the underlying cognitive mechanisms and factors associated with these effects in three research papers. Specifically, to understand how challenge and hindrance appraisals contribute to our understanding of the stressor-performance link, the first paper presents a review of the empirical findings that contrasts the studies that measure appraisals with those that do not consider appraisals. It finds that measurement of appraisals offers more refined picture of the relationships between the stressors and performance-related outcomes. The second paper conducts a pre-registered experimental study to investigate the effects of the magnitude of a stressor (task difficulty) on challenge and hindrance appraisals and performance in a demanding cognitive task. It finds the non-linear effects of task difficulty on challenge appraisals, while the effects on hindrance appraisals were linear. In addition, it provides support for the mediating role of the hindrance appraisals in the task difficulty-performance relationships. The third paper consists of two studies. Study 1 carries out a pre-registered experiment to explore the role of prior experience and feedback in the dynamic stress process. Specifically, it examines how task performance, provided as in-task concurrent feedback, i.e., simultaneous presentation of upward social comparison and objective feedback, mediates change in challenge and hindrance appraisals. Study 1 finds partial support for the hypothesized effects. Study 2 examines the underlying effects found in Study 1 and employs eye-tracking to explore the associations between challenge and hindrance appraisals and attentional focus on the two elements of the in-task concurrent feedback to shed light on attentional processes. Study 2 is currently in the process of data collection and is not completed due to COVID-19 induced restrictions on the laboratory. The overall results of this dissertation encourage rethinking the existing state of the challenge-hindrance stressor framework by inviting a more complex conceptualization of the stressor-performance association in organizations.

  • Closed Access English
    Authors: 
    Gulati, K.; Busari, J.;

    Purpose In January 2021, India launched the world's most extensive vaccination campaign against COVID-19. It is estimated that India would need to vaccinate over a billion people to achieve herd immunity. Even though the Indian Government focuses on improving and delivering its vaccination programme, significant challenges still exist. This paper aims to discuss current challenges to scale up India's vaccination campaign and addresses strategies for achieving this. Design/methodology/approach The paper is based on a review of secondary sources, including journal articles from scholarly and grey literature and information available in the public domain. The search focused explicitly on the COVID-19 scenario, vaccination programme, public health management and systems leadership in the Indian health care system. Findings The analysis revealed that various factors have disrupted India's vaccination campaign, including shortage of vaccine doses, mandatory prior online registration, lack of infrastructure, safety concerns for older people, untrained workforce and absence of a solid public health framework. Furthermore, India appears to have struggled to reduce tensions and instill trust in its ability to effectively manage the COVID-19 pandemic and vaccination programme due to a lack of cooperation between union government, state governments and other stakeholders, namely, policymakers, hospitals, industry and community. Originality/value The findings indicate that scaling up India's anti-COVID vaccination programme would require system-level leadership strategies that work within the country's limited resources. Deeper reforms in vaccine development, storage, delivery, training and regulatory frameworks are also needed to extend the world's largest anti-COVID-19 vaccination campaign.

  • Closed Access English
    Authors: 
    Zhussupov, Baurzhan; Kaidar, Elmira; Suleimenova, Zhanar; Aleksandrova, Natalya; Smagul, Manar; Musubayeva, Gaukhar; Nukenova, Gaukhar; Kirpicheva, Ulyana; Bayasheva, Aigerim; Turliyev, Zangar; +11 more
    Publisher: Zenodo

    Results of population-based age stratified seroepidemiological investigation in Kazakhstan

  • Closed Access English
    Authors: 
    Zhussupov, Baurzhan; Kaidar, Elmira; Suleimenova, Zhanar; Aleksandrova, Natalya; Smagul, Manar; Nusupbayeva, Gaukhar; Nukenova, Gaukhar; Kirpicheva, Ulyana; Bayasheva, Aigerim; Turliyev, Zangar; +11 more
    Publisher: Zenodo

    Results of population-based age stratified seroepidemiological investigation in Kazakhstan

  • Closed Access English
    Authors: 
    Weijer, M.P. van de; Vries, L.P. de; Pelt, D.M.; Huider, F.; Zee, M.D. van der; Ligthart, L.; Willemsen, G.; Boomsma, D.I.; Geus, E. de; Bartels, M.;
  • Other research product . Other ORP type . 2021
    Closed Access English
    Authors: 
    Xu, Xinni; Reitsma, Sietze; Wang, De Yun; Fokkens, Wytske J.;

    Chronic rhinosinusitis (CRS) is a complex upper airway inflammatory disease with a broad spectrum of clinical variants. As our understanding of the disease pathophysiology evolves, so too does our philosophy towards the approach and management of CRS. Endotyping is gaining favour over phenotype-based classifications, owing to its potential in prognosticating disease severity and delivering precision treatment. Endotyping is especially useful in challenging CRS with nasal polyposis cases, for whom novel treatment options such as biologicals are now available. The latest European Position Paper on Rhinosinusitis and Nasal Polyps (EPOS2020) reflects these changes with updated rhinosinusitis classifications and new integrated care pathways. With the coronavirus disease 2019 (COVID-19) pandemic, physicians and rhinologists have to balance the responsibility of managing their patients’ upper airway while adequately protecting themselves from droplet and aerosol transmission. This review summarises the key updates from EPOS2020, endotype-based classification and biomarkers. The role of biologicals in CRS and the lessons we can draw from their use in severe asthma will be examined. Finally, the principles of CRS management during COVID-19 will also be discussed.

  • Other research product . Other ORP type . 2021
    Closed Access English
    Publisher: Peter Lang
    Country: United Kingdom

    In Great Britain, discussions of the Coronavirus pandemic have frequently been intertwined with references to the Second World War. Such allusions are to be found in political speeches, journalistic accounts and opinion pieces; they are also replete in the cultural sphere. Bringing together scholars from a range of disciplines, this comprehensive volume seeks to evaluate the uses (and abuses) of this rhetoric. The result is a multifaceted meditation on Britain’s response to the pandemic.