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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>In Young Adults with COVID-19, Obesity Is Associated with Adverse Outcomes</text>
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                <text>Eric Steinberg, Ellsworth Wright, Beth Kushner</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Introduction: For patients with COVID-19, several characteristics have been identified that may be associated with adverse outcomes. However, there is a paucity of data regarding the effect of obesity on young adult patients with COVID-19. We sought to identify whether adverse outcomes are associated with obesity, particularly in COVID-19 patients 45 years and younger. Methods: This was a two-center, retrospective cohort study that included 210 patients. Eligible patients were between the ages of 18–45 years old, had tested positive for SARS-CoV-2 on real-time reverse transcription polymerase chain reaction via nasopharyngeal swab, and were not pregnant. Primary outcomes were defined as follows: 1) in-hospital mortality during the study period; 2) need for mechanical ventilation; and 3) admission to the hospital. We analyzed baseline characteristics of the cohort using descriptive statistics. Odds ratios (OR) were calculated to assess associations between outcomes and obesity, defined as body mass index (BMI) &gt;30. Results: Of those patients who tested positive, 18 died during hospitalization (9%), 36 (17%) required mechanical ventilation, and 94 (45%) were admitted. Each of the primary outcomes was significantly associated with a BMI &gt;30 (mortality OR = 6.29, 95% confidence interval [CI], 1.76–22.46, p = 0.0046; mechanical ventilation OR = 6.01, 95% CI, 2.5–14.48, p = 0.0001; admission OR 2.61, 95% CI, 1.49–4.58, p =.0008). Conclusion: Obesity appears to be an independent risk factor for poor outcomes in young patients with COVID-19. Future studies examining the clinical characteristics and risk factors of COVID-19 patients across large, diverse populations will strengthen our understanding of this novel and complex disease.</text>
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                <text>2020</text>
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            <name>Identifier</name>
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                <text>10.5811/westjem.2020.5.47972</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Western Journal of Emergency Medicine</text>
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            <name>Publisher</name>
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                <text>eScholarship Publishing, University of California</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Medicine, Medical emergencies. Critical care. Intensive care. First aid</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Validation of the Smart City as a Sustainable Development Knowledge Tool: The Challenge of Using Technologies in Education during COVID-19</text>
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            <name>Creator</name>
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                <text>María del Carmen Olmos Gómez, Mónica Luque Suárez, Jesús  Manuel Cuevas-Rincón, Soraya Mohamed-Mohamed</text>
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            <description>An account of the resource</description>
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                <text>The objective of this research was to design and validate a questionnaire for teachers on the knowledge and use of smart city concepts and their usefulness in online learning during the COVID-19 pandemic based on a sustainable approach at different educational levels. It is important to analyze the use of online education based on the construction of intelligent learning environments, which favor the interaction between the environment and the student. With a quasi-experimental methodology, the psychometric properties of the questionnaire were analyzed through structural equation modeling (SEM), and the model was adjusted through a multivariate regression analysis to relate response patterns to a set of latent factors that cannot be directly observed, but exist in continuous dimensions of the people evaluated, and to create a valid and reliable instrument as a measurement tool using a sample of n = 973 subjects. The sample distribution consisted of 22.36% primary school teachers, 59.01% high school teachers, and 18.56% university teachers. The results showed a high reliability and construct validity through two models, and adjustment of the original model produced better goodness-of-fit parameters. We conclude that the designed questionnaire is a useful and valid tool for understanding how teachers have approached online teaching during the pandemic and their knowledge and use of Smart City concepts.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="44876">
                <text>2020</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>e-learning, ICT, smart cities, structural equation modeling (SEM), readjustment</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="44878">
                <text>10.3390/su12208384</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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                <text>Biotemas</text>
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                <text>Universidade Federal de Santa Catarina</text>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="44881">
                <text>Environmental effects of industries and plants, Renewable energy sources, Environmental sciences</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
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        <name>Dublin Core</name>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Should the Management of Embolic Stroke in the Elderly Be Changed if They Also Have COVID-19?</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="44883">
                <text>Maria Carolina dos Santos Sousa Duarte Seabra, Barbara Silva, Vitor Fagundes, João Rocha, Luís Nogueira, Mari Mesquita</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Introduction: A strong association between stroke and atrial fibrillation (AF) has been demonstrated. Anticoagulation for the prevention of stroke in high-risk patients has the benefit of improving the life expectancy, quality of life, autonomy and social functioning of the patient. The COVID-19 pandemic poses challenges for stroke patients because of the association between SARS-CoV-2 infection and thromboembolic risk.  Case description: We describe the case of an 84-year-old female patient admitted due to an embolic stroke and non-anticoagulated AF. Her admission symptoms were sensory-motor aphasia and severe right limb paresis with an NIHSS score of 24. The diagnosis of embolic stroke (namely, total anterior circulation infarct; TACI) was made. Her stroke was extensive so she was not started on anticoagulation. During hospitalization, new embolic events occurred and a concomitant diagnosis of COVID-19 was made with progressive respiratory dysfunction followed by multiorgan failure. The patient died despite appropriate treatment.  Discussion: The prognosis of elderly patients with cardioembolic stroke depends on anticoagulation administration. The NIHSS score on admission of our patient meant anticoagulation therapy was not appropriate. The diagnosis of COVID-19 contributed to the patient’s death.</text>
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                <text>2020</text>
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            <description>The topic of the resource</description>
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                <text>covid-19, Stroke, atrial fibrillation, Embolism</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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                <text>10.12890/2020_001736</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="44889">
                <text>Korean Society of Epidemiology</text>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Medicine</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Covid-19 Outbreak Progression in Italian Regions: Approaching the Peak by the End of March in Northern Italy and First Week of April in Southern Italy</text>
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                <text>Alessandro Miani, Cosimo Distante, Prisco Piscitelli</text>
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            <description>An account of the resource</description>
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                <text>Epidemiological figures of the SARS-CoV-2 epidemic in Italy are higher than those observed in China. Our objective was to model the SARS-CoV-2 outbreak progression in Italian regions vs. Lombardy to assess the epidemic’s progression. Our setting was Italy, and especially Lombardy, which is experiencing a heavy burden of SARS-CoV-2 infections. The peak of new daily cases of the epidemic has been reached on the 29th, while was delayed in Central and Southern Italian regions compared to Northern ones. In our models, we estimated the basic reproduction number (R0), which represents the average number of people that can be infected by a person who has already acquired the infection, both by fitting the exponential growth rate of the infection across a 1-month period and also by using day-by-day assessments based on single observations. We used the susceptible–exposed–infected–removed (SEIR) compartment model to predict the spreading of the pandemic in Italy. The two methods provide an agreement of values, although the first method based on exponential fit should provide a better estimation, being computed on the entire time series. Taking into account the growth rate of the infection across a 1-month period, each infected person in Lombardy has involved 4 other people (3.6 based on data of April 23rd) compared to a value of R0 = 2.68, as reported in the Chinese city of Wuhan. According to our model, Piedmont, Veneto, Emilia Romagna, Tuscany and Marche will reach an R0 value of up to 3.5. The R0 was 3.11 for Lazio and 3.14 for the Campania region, where the latter showed the highest value among the Southern Italian regions, followed by Apulia (3.11), Sicily (2.99), Abruzzo (3.0), Calabria (2.84), Basilicata (2.66), and Molise (2.6). The R0 value is decreased in Lombardy and the Northern regions, while it is increased in Central and Southern regions. The expected peak of the SEIR model is set at the end of March, at a national level, with Southern Italian regions reaching the peak in the first days of April. Regarding the strengths and limitations of this study, our model is based on assumptions that might not exactly correspond to the evolution of the epidemic. What we know about the SARS-CoV-2 epidemic is based on Chinese data that seems to be different than those from Italy; Lombardy is experiencing an evolution of the epidemic that seems unique inside Italy and Europe, probably due to demographic and environmental factors.</text>
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                <text>2020</text>
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                <text>covid-19, model, peak, Italian Regions, Outbreak Progression</text>
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            <name>Identifier</name>
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                <text>10.3390/ijerph17093025</text>
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                <text>Epidemiology and Health</text>
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                <text>Korean Society of Epidemiology</text>
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                <text>Medicine</text>
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                <text>Going by the current physical reach of the COVID-19 pandemic in the population there are bound to be long-term socio-economic and psychological implications. The swift rise of fear and anxiety among people due to uncertainty of the disease are coupled with essential yet socially disruptive measures like lockdowns and quarantines. These can lead to significant psychological and psychiatric disturbances such as post-traumatic stress disorder, depression, anxiety, panic disorders, and behavioural disorders. Predisposing factors include staying away from family, loneliness, misinformation on social media, financial insecurity and stigmatization. Healthcare workers, too, have a high risk of developing post-traumatic stress disorder and burnout; therefore, it is paramount to understand and research the psychological impact and key determinants to prevent, identify, and manage such problems. Suggested actions include support lines for anxious people, tele-counselling, virtual connecting &amp; help groups, encouraging meditation, conducting research on psychological consequences, and developing and utilising suitable interventions.</text>
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