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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>
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                  <text>Dominio científico: Coronavirus</text>
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            <name>Title</name>
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                <text>COVID-19 Pneumonia Diagnosis Using a Simple 2D Deep Learning Framework With a Single Chest CT Image: Model Development and Validation</text>
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                <text>Ko, Hoon, Chung, Heewon, Kang, Wu Seong, Kim, Kyung Won, Shin, Youngbin, Kang, Seung Ji, Lee, Jae Hoon, Kim, Young Jun, Kim, Nan Yeol, Jung, Hyunseok, Lee, Jinseok</text>
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                <text>BackgroundCoronavirus disease (COVID-19) has spread explosively worldwide since the beginning of 2020. According to a multinational consensus statement from the Fleischner Society, computed tomography (CT) is a relevant screening tool due to its higher sensitivity for detecting early pneumonic changes. However, physicians are extremely occupied fighting COVID-19 in this era of worldwide crisis. Thus, it is crucial to accelerate the development of an artificial intelligence (AI) diagnostic tool to support physicians.             ObjectiveWe aimed to rapidly develop an AI technique to diagnose COVID-19 pneumonia in CT images and differentiate it from non–COVID-19 pneumonia and nonpneumonia diseases.             MethodsA simple 2D deep learning framework, named the fast-track COVID-19 classification network (FCONet), was developed to diagnose COVID-19 pneumonia based on a single chest CT image. FCONet was developed by transfer learning using one of four state-of-the-art pretrained deep learning models (VGG16, ResNet-50, Inception-v3, or Xception) as a backbone. For training and testing of FCONet, we collected 3993 chest CT images of patients with COVID-19 pneumonia, other pneumonia, and nonpneumonia diseases from Wonkwang University Hospital, Chonnam National University Hospital, and the Italian Society of Medical and Interventional Radiology public database. These CT images were split into a training set and a testing set at a ratio of 8:2. For the testing data set, the diagnostic performance of the four pretrained FCONet models to diagnose COVID-19 pneumonia was compared. In addition, we tested the FCONet models on an external testing data set extracted from embedded low-quality chest CT images of COVID-19 pneumonia in recently published papers.             ResultsAmong the four pretrained models of FCONet, ResNet-50 showed excellent diagnostic performance (sensitivity 99.58%, specificity 100.00%, and accuracy 99.87%) and outperformed the other three pretrained models in the testing data set. In the additional external testing data set using low-quality CT images, the detection accuracy of the ResNet-50 model was the highest (96.97%), followed by Xception, Inception-v3, and VGG16 (90.71%, 89.38%, and 87.12%, respectively).             ConclusionsFCONet, a simple 2D deep learning framework based on a single chest CT image, provides excellent diagnostic performance in detecting COVID-19 pneumonia. Based on our testing data set, the FCONet model based on ResNet-50 appears to be the best model, as it outperformed other FCONet models based on VGG16, Xception, and Inception-v3.</text>
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                <text>2020</text>
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                <text>10.2196/19569</text>
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            <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>
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                <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>Public aspects of medicine, Computer applications to medicine. Medical informatics</text>
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              <name>Title</name>
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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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                <text>Impact of COVID-19 on Anxiety, Stress, and Coping Styles in Nurses in Emergency Departments and Fever Clinics: A Cross-Sectional Survey</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Cui S, Jiang Y, Shi Q, Zhang L, Kong D, Qian M, Chu J</text>
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                <text>Shasha Cui,1,* Yujun Jiang,2,* Qianyu Shi,1,* Lei Zhang,3 Dehua Kong,4 Meijuan Qian,1 Jing Chu3 1Department of Nursing, Nantong Health College of Jiangsu Province, Nantong City, Jiangsu Province, People&amp;rsquo;s Republic of China; 2Department of Gynecology, The Affiliated Hospital of Qingdao University, Qingdao City, Shandong Province, People&amp;rsquo;s Republic of China; 3Department of Nursing, Navy Medical University, Shanghai, People&amp;rsquo;s Republic of China; 4Department of Nursing, The 940th Hospital of Joint Logistics Support Force of Chinese People&amp;rsquo;s Liberation Army, Lanzhou City, Gansu Province, People&amp;rsquo;s Republic of China*These authors contributed equally to this workCorrespondence: Jing ChuDepartment of Nursing, Navy Medical University, 800 Xiang Yin Road, Shanghai, 200433, People&amp;rsquo;s Republic of ChinaTel +86-21-8187 1483Email chujing1999@smmu.edu.cnMeijuan QianDepartment of Nursing, Nantong Health College of Jiangsu Province, 288 Zhen Xing Dong Road, Nantong City, Jiangsu Province, People&amp;rsquo;s Republic of ChinaEmail 158142474@qq.comBackground: During the Coronavirus Disease 2019 (COVID-19) pandemic, emergency departments and fever clinics nurses acted as gatekeepers to the health care system. To manage the psychological problems that these nurses experience, we should develop appropriate training and intervention programs.Objective: To identify the impact of COVID-19 on the psychology of Chinese nurses in emergency departments and fever clinics and to identify associated factors.Methods: This online cross-sectional study recruited participants through snowball sampling between 13 February and 20 February 2020. Nurses self-administered the online questionnaires, including a general information questionnaire, the Self-Rating Anxiety Scale, the Perceived Stress Scale-14, and the Simplified Coping Style Questionnaire.Results: We obtained 481 responses, of which 453 were valid, an effective response rate of 94.18%. Participants who had the following characteristics had more mental health problems: female gender, fear of infection among family members, regretting being a nurse, less rest time, more night shifts, having children, lack of confidence in fighting transmission, not having emergency protection training, and negative professional attitude.Conclusion: Effective measures are necessary to preserve mental health of nurses in emergency departments and fever clinics. These include strengthening protective training, reducing night shifts, ensuring adequate rest time, and timely updating the latest pandemic situation.Keywords: COVID-19, nurses, psychological health, mental health, stress, anxiety</text>
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                <text>2021</text>
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            <name>Subject</name>
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                <text>Anxiety, mental health, covid-19, Stress, psychological health, nurses</text>
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              <elementText elementTextId="56307">
                <text>Biotemas</text>
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            <description>An entity responsible for making the resource available</description>
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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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                <text>Public aspects of medicine</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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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>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
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            <description>A name given to the resource</description>
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              <elementText elementTextId="56310">
                <text>The Coronavirus Pandemic: A Possible Model of the Direct and Indirect Impact of the Pandemic on Sleep Quality in Italians</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="56311">
                <text>Casagrande M, Forte G, Tambelli R, Favieri F</text>
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            <description>An account of the resource</description>
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                <text>Maria Casagrande,1 Giuseppe Forte,2 Renata Tambelli,1 Francesca Favieri2 1Dipartimento di Psicologia Dinamica, Clinica e Salute, &amp;ldquo;Sapienza&amp;rdquo; Universit&amp;agrave; di Roma, Rome, Italy; 2Dipartimento di Psicologia, &amp;ldquo;Sapienza&amp;rdquo; Universit&amp;agrave; di Roma, Rome, ItalyCorrespondence: Maria CasagrandeDipartimento di Psicologia Dinamica, Clinica e Salute, &amp;ldquo;Sapienza&amp;rdquo; Universit&amp;agrave; di Roma, Via Degli Apuli, Rome, 100185, ItalyEmail maria.casagrande@uniroma1.itPurpose: This study aimed to assess the direct and indirect impact of COVID-19-related aspects on self-reported sleep quality, considering the moderator role of some psychological variables.Methods: During the first weeks of the lockdown in Italy, 2286 respondents (1706 females and 580 males; age range: 18&amp;ndash; 74 years) completed an online survey that collected sociodemographic information and data related to the experience with the COVID-19 pandemic. Some questionnaires assessed sleep quality, psychological well-being, general psychopathology, Post-Traumatic Stress Disorders symptoms, and anxiety. The path analysis was adopted.Results: The study confirms a direct effect of some aspects ascribable to the pandemic, with a mediator role of the psychological variables. Lower sleep quality was directly related to the days spent at home in confinement and the knowledge of people affected by the COVID-19. All the other aspects related to the COVID-19 pandemic influenced sleep quality through the mediator effect of psychological variables.Conclusion: This study highlighted that the psychological condition of the population has been influenced by the COVID-19 pandemic and the government actions taken to contain it, but it has also played an important role in mediating the quality of sleep, creating a vicious circle on people&amp;rsquo;s health. The results suggest that a health emergency must be accompanied by adequate social support programs to mitigate the fear of infection and promote adequate resilience to accept confinement and social distancing. Such measures would moderate psychological distress and improve sleep quality.Keywords: COVID-19, pandemic, sleep quality, psychological distress, home confinement, social isolation</text>
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                <text>2021</text>
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                <text>covid-19, psychological distress, Pandemic, Social isolation, sleep quality, home confinement</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Biotemas</text>
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              <elementText elementTextId="56316">
                <text>Universidade Federal de Santa Catarina</text>
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                <text>Psychiatry</text>
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              <name>Title</name>
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                  <text>Dominio científico: Coronavirus</text>
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          <element elementId="50">
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                <text>CORONAVIRUS DISEASE 2019 (COVID-19) PANDEMIC AND THE “PARADOX” OF ACUTE CORONARY SYNDROME HOSPITALIZATIONS</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="56319">
                <text>Leonard SIMONI, Astrit CEKA, Ermir TAFAJ, Mirald GINA, Alban DIBRA</text>
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            <description>An account of the resource</description>
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                <text>Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, a disease affecting mainly the respiratory system, has become the major cause of a worldwide crisis, imposing a real challenge for the healthcare systems. The underlying pathological mechanisms of coronavirus disease 19 (COVID-19), such as increased inflammatory and immune responses, endothelial damage, prothrombotic status, were expected to increase the incidence of acute coronary syndromes (ACS), but observational studies so far indicate an important reduction in ACS admissions and treatment, possibly because of the fear of contagion, reorganization of medical structures and reduction of physical activity. Further work is needed to identify the factors responsible for this situation.</text>
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                <text>2021</text>
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                <text>Hospitalization, covid-19 pandemic, Acute coronary syndrome, coronary intervention</text>
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                <text>https://doi.org/10.31688/ABMU.2021.56.1.11</text>
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                <text>Archives of the Balkan Medical Union</text>
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                <text>Balkan Medical Union</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, Medicine (General)</text>
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                <text>A pandemia da COVID-19 trouxe inúmeros desafios aos profissionais da saúde. O objetivo             das recomendações presentes neste artigo é dar diretrizes para promover o cuidado com a             saúde de pacientes e equipe médica nas clínicas dermatológicas, minimizando o risco de             contágio.             Dado o caráter eletivo dos procedimentos estéticos, cuidado adicional deve ser tomado de             modo a proteger a saúde de todos. Por meio de medidas comportamentais e ambientais, é             possível manter o funcionamento das clínicas com maior segurança e ajudar os pacientes a             sentir-se seguros após um longo período de stress durante o isolamento.</text>
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                <text>A principios del 2020, un nuevo virus causante del síndrome respiratorio agudo severo (SARS-CoV-2) se diseminó a nivel mundial causando la enfermedad de coronavirus o COVID-19. La tasa de nuevos contagios varía por día y puede ser monitoreada en tiempo real.1 Con respecto a la situación actual en Latinoamérica, los casos confirmados de COVID-19 se han incrementado de forma importante.2 La Organización Mundial de la Salud (OMS) ha declarado esta situación como una pandemia debido a los niveles alarmantes de propagación de la enfermedad y en especial por las complicaciones que se pueden suscitar luego del contagio.</text>
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                <text>Dentistry</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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              <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>Évacuation massive des populations en temps d’épidémie de COVID-19 : comment éviter la sur-crise ?</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Éric Daudé, Delphine Grancher, Franck Lavigne</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>This paper offers a reflection on the constraints imposed by the focus of the management of the pandemic at the global level and of the epidemic at the level of the territories on the preparation and anticipation of new threats, such as natural hazards.</text>
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            <name>Date</name>
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                <text>2021</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Pandemic, multihazards, multi crisis, population evacuation</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>10.4000/echogeo.20961</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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                <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>Geography (General)</text>
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