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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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                <text>Comparative Analysis of Early-Stage Clinical Features Between COVID-19 and Influenza A H1N1 Virus Pneumonia</text>
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                <text>Hong Yu, Min Tan, Changhui Wang, Guoliang Zhang, Xiaolian Song, Changxing Shen, Jiren Liang</text>
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                <text>Introduction: Influenza virus pneumonia and COVID-19 are two different types of respiratory viral pneumonia but with very similar clinical manifestations. The aim of the present study was to help clinicians gain a better understanding about differences between Influenza virus pneumonia and COVID-19 by comparative analysis of the early-stage clinical features.Methods: Clinical data of patients with confirmed diagnosis of COVID-19 and influenza A pneumonia identified in our hospital were collected and analyzed retrospectively to identify the clinical features that could differentiate between the two types of viral pneumonia.Results: The two types of viral pneumonia mainly affected adults, especially people over 50 years, with no gender difference between them. Fever, cough, sputum and muscle soreness were the most common symptoms of COVID-19. Some patients with COVID-19 may also exhibit digestive tract symptoms. Elevation of C-reactive protein (CRP) was a more common phenomenon in patients with COVID-19 than that in patients with influenza A H1N1 virus pneumonia. In addition, eosinophil count was decreased and the monocyte percentage was increased in COVID-19 patients. The grid-form shadow was a typical presentation of COVID-19 on the lung CT image, and the disease usually progressed quickly within a week.Conclusion: Influenza pneumonia and COVID-19 are two different types of respiratory viral pneumonia with very similar clinical manifestations. The percentage of monocytes is increased and the eosinophil count is decreased in COVID-19. Glass-ground density exudation shadow located peripherally is the typical sign of COVID-19 on the lung CT image, and the shadow often with grid-form sign. These features may not be typically observed in patients with influenza pneumonia. Chest CT scan combined with nucleic acid detection is an effective and accurate method for diagnosing COVID-19. Blood routine test has a limited diagnostic value in differentiating the two forms of pneumonia.</text>
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                <text>2020</text>
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            <name>Subject</name>
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                <text>Pneumonia, clinical features, early-stage, influenza A, corona virus disease 2019, grid-form shadow</text>
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                <text>DOI: 10.3389/fpubh.2020.00206</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>Frontiers in Public Health</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Frontiers Media S.A.</text>
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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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                  <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>Prognosis of COVID-19 in Patients with Liver and Kidney Diseases: An Early Systematic Review and Meta-Analysis</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="24062">
                <text>Jaber Alqahtani, Tope Oyelade, Gabriele Canciani</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>The mortality and severity in COVID-19 is increased in patients with comorbidities. The aim of this study was to evaluate the severity and mortality in COVID-19 patients with underlying kidney and liver diseases. We retrieved data on the clinical features and primary composite end point of COVID-19 patients from Medline and Embase which had been released from inception by the April 16, 2020. The data on two comorbidities, liver diseases and chronic kidney disease, were pooled and statistically analysed to explain the associated severity and mortality rate. One hundred and forty-two abstracts were screened, and 41 full articles were then read. In total, 22 studies including 5595 COVID-19 patients were included in this study with case fatality rate of 16%. The prevalence of liver diseases and chronic kidney disease (CKD) were 3% (95% CI; 2–3%) and 1% (95% CI; 1–2%), respectively. In patients with COVID-19 and underlying liver diseases, 57.33% (43/75) of cases were severe, with 17.65% mortality, while in CKD patients, 83.93% (47/56) of cases were severe and 53.33% (8/15) mortality was reported. This study found an increased risk of severity and mortality in COVID-19 patients with liver diseases or CKD. This will lead to better clinical management and inform the process of implementing more stringent preventative measures for this group of patients.</text>
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              <elementText elementTextId="24064">
                <text>2020</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Chronic Kidney Disease, Cirrhosis, Hepatitis B and C, alcohol related liver disease, SARS-CoV-2, COVID-19</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="24066">
                <text>DOI: 10.3390/tropicalmed5020080</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>Tropical Medicine and Infectious Disease</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>MDPI AG</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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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="24070">
                <text>Covid-19: Open-Data Resources for Monitoring, Modeling, and Forecasting the Epidemic</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="24071">
                <text>Daniel G. Reina, Teodoro Alamo, Martina Mammarella, Alberto Abella</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="24072">
                <text>We provide an insight into the open-data resources pertinent to the study of the spread of the Covid-19 pandemic and its control. We identify the variables required to analyze fundamental aspects like seasonal behavior, regional mortality rates, and effectiveness of government measures. Open-data resources, along with data-driven methodologies, provide many opportunities to improve the response of the different administrations to the virus. We describe the present limitations and difficulties encountered in most of the open-data resources. To facilitate the access to the main open-data portals and resources, we identify the most relevant institutions, on a global scale, providing Covid-19 information and/or auxiliary variables (demographics, mobility, etc.). We also describe several open resources to access Covid-19 datasets at a country-wide level (i.e., China, Italy, Spain, France, Germany, US, etc.). To facilitate the rapid response to the study of the seasonal behavior of Covid-19, we enumerate the main open resources in terms of weather and climate variables. We also assess the reusability of some representative open-data sources.</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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                <text>2020</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="24074">
                <text>machine learning, open data, coronavirus, Data-driven Methods, SARS-CoV-2, COVID-19</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="24075">
                <text>DOI: 10.3390/electronics9050827</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="24076">
                <text>Electronics</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="24077">
                <text>MDPI AG</text>
              </elementText>
            </elementTextContainer>
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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>Electronics</text>
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            <element elementId="50">
              <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>Comparative Antiviral Activity of Remdesivir and Anti-HIV Nucleoside Analogs Against Human Coronavirus 229E (HCoV-229E)</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Keykavous Parang, Rakesh K. Tiwari, Naglaa  Salem El-Sayed, Assad J. Kazeminy</text>
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            <description>An account of the resource</description>
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                <text>Remdesivir is a nucleotide prodrug that is currently undergoing extensive clinical trials for the treatment of COVID-19. The prodrug is metabolized to its active triphosphate form and interferes with the action of RNA-dependent RNA polymerase of SARS-COV-2. Herein, we report the antiviral activity of remdesivir against human coronavirus 229E (HCoV-229E) compared to known anti-HIV agents. These agents included tenofovir (TFV), 4′-ethynyl-2-fluoro-2′-deoxyadenosine (EFdA), alovudine (FLT), lamivudine (3TC), and emtricitabine (FTC), known as nucleoside reverse-transcriptase inhibitors (NRTIs), and a number of 5′-O-fatty acylated anti-HIV nucleoside conjugates. The anti-HIV nucleosides interfere with HIV RNA-dependent DNA polymerase and/or act as chain terminators. Normal human fibroblast lung cells (MRC-5) were used to determine the cytotoxicity of the compounds. The study revealed that remdesivir exhibited an EC50 value of 0.07 µM against HCoV-229E with TC50 of &gt; 2.00 µM against MRC-5 cells. Parent NRTIs were found to be inactive against (HCoV-229E) at tested concentrations. Among all the NRTIs and 5′-O-fatty acyl conjugates of NRTIs, 5′-O-tetradecanoyl ester conjugate of FTC showed modest activity with EC50 and TC50 values of 72.8 µM and 87.5 µM, respectively. These data can be used for the design of potential compounds against other coronaviruses.</text>
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                <text>2020</text>
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                <text>antiviral, RNA polymerase, NRTIs, remdesivir, HCoV-229E, SARS-CoV-2</text>
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            <name>Identifier</name>
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                <text>DOI: 10.3390/molecules25102343</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Molecules</text>
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                <text>MDPI AG</text>
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                <text>Organic chemistry</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Sustainable Cultural Heritage Planning and Management of Overtourism in Art Cities: Lessons from Atlas World Heritage</text>
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                <text>Giuseppe De Luca, Ahmadreza Shirvani Dastgerdi, Giovanni Liberatore, Carlo Francini</text>
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                <text>In recent years, there has been an increase in international tourist arrivals worldwide. In this respect, Art Cities are among the most favorable tourist destinations, as they exhibit masterpieces of art and architecture in a cultural environment. However, the so-called phenomenon of overtourism has emerged as a significant threat to the residents’ quality of life, and, consequently, the sustainability of Art Cites. This research aims to develop a management toolkit that assists site managers to control tourism flows in Art Cities and World Heritage Sites and promotes the residents’ quality of life. The research methodology was developed within the framework of the Atlas Project in 2019. In this project, five European Art Cities, including Florence, Edinburgh, Bordeaux, Porto, and Santiago de Compostela, discussed their common management challenges through the shared learning method. After developing selection criteria, the Atlas’ partners suggested a total of nine strategies as best practices for managing overtourism in Art Cities in multiple sections of accommodation policies, monitoring tactics, and promotional offerings. The Atlas project was conducted before the outbreak of the COVID-19 virus pandemic. Based on the current data, it is somehow uncertain when and how tourism activities will return to normal. The analysis of the Atlas findings also highlights some neglected dimensions in the current strategies in terms of environmental concerns, climate change impacts, crisis management, and cultural development plans, which require further research to boost the heritage planning process.</text>
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                <text>2020</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>sustainability, Management strategy, World Heritage Sites, heritage planning, overtourism, Art Cities</text>
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            <name>Identifier</name>
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              <elementText elementTextId="24093">
                <text>DOI: 10.3390/su12093929</text>
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                <text>Sustainability</text>
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            <description>An entity responsible for making the resource available</description>
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                <text>MDPI AG</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>Environmental sciences, Renewable energy sources, Environmental effects of industries and plants</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>Text</name>
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        <name>Dublin Core</name>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Hand Sanitizers: A Review on Formulation Aspects, Adverse Effects, and Regulations</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="24098">
                <text>Jason R McCarthy, Nagendran Tharmalingam, Thiagarajan Madheswaran, Jane  Lee Jia Jing, Thong Pei Yi, Rajendran  J. C. Bose</text>
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            <description>An account of the resource</description>
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                <text>Hand hygiene is of utmost importance as it may be contaminated easily from direct contact with airborne microorganism droplets from coughs and sneezes. Particularly in situations like pandemic outbreak, it is crucial to interrupt the transmission chain of the virus by the practice of proper hand sanitization. It can be achieved with contact isolation and strict infection control tool like maintaining good hand hygiene in hospital settings and in public. The success of the hand sanitization solely depends on the use of effective hand disinfecting agents formulated in various types and forms such as antimicrobial soaps, water-based or alcohol-based hand sanitizer, with the latter being widely used in hospital settings. To date, most of the effective hand sanitizer products are alcohol-based formulations containing 62%–95% of alcohol as it can denature the proteins of microbes and the ability to inactivate viruses. This systematic review correlated with the data available in Pubmed, and it will investigate the range of available hand sanitizers and their effectiveness as well as the formulation aspects, adverse effects, and recommendations to enhance the formulation efficiency and safety. Further, this article highlights the efficacy of alcohol-based hand sanitizer against the coronavirus.</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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                <text>2020</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>infection control, Hand sanitizer, hand disinfectants</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="24102">
                <text>DOI: 10.3390/ijerph17093326</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="24103">
                <text>International Journal of Environmental Research and Public 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="24104">
                <text>MDPI AG</text>
              </elementText>
            </elementTextContainer>
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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>
            <elementTextContainer>
              <elementText elementTextId="24105">
                <text>Medicine</text>
              </elementText>
            </elementTextContainer>
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  <item itemId="2525" public="1" featured="0">
    <fileContainer>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                <elementText elementTextId="1">
                  <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>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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        <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">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Government’s Stimulus Program to Boost Consumer Spending: A Case of Discount Shopping Coupon Scheme in Japan</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="24107">
                <text>Yoshihiko Kadoya, Mostafa  Saidur Rahim Khan, Tomomi Yamane</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>The unprecedented outbreak of COVID-19 has triggered a worldwide economic recession. Consequently, governments are pursuing different stimulus packages to alleviate the resulting pressures. This study examines one such program intended to enhance consumer spending during an economic downturn. In 2015, the Japanese government implemented a discount shopping coupon scheme, offering a 20% discount on purchases. This study aims to identify the groups of consumers who responded most to the discount shopping coupon scheme. To this end, we examine the demographic and socio-economic factors associated with the purchasers of discount shopping coupons in Hiroshima Prefecture, Japan. Using IV probit models, we show that middle-aged people, homemakers, household balance of financial assets, and short-term attitude are positively associated with the purchase of the coupons. Financial literacy reflects a negative association with the purchase of the coupons for respondents over the age of 40, whereas household income shows a positive association for middle-aged respondents. Our results imply that programs designed to improve consumer consumption may not be effective as blanket solutions that are applied to everyone indiscriminately, but rather seem to show efficiency when tailored to different people according to their demographic and/or socio-economic characteristics.</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="24109">
                <text>2020</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="24110">
                <text>Japan, Socioeconomic factors, Financial literacy, consumer spending, discount shopping coupon</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="24111">
                <text>DOI: 10.3390/su12093906</text>
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            </elementTextContainer>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="24112">
                <text>Sustainability</text>
              </elementText>
            </elementTextContainer>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="24113">
                <text>MDPI AG</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="38">
            <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>
            <elementTextContainer>
              <elementText elementTextId="24114">
                <text>Environmental sciences, Renewable energy sources, Environmental effects of industries and plants</text>
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            </elementTextContainer>
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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>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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      <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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            <description>A name given to the resource</description>
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                <text>Implications of COVID-19 Outbreak on Immune Therapies in Multiple Sclerosis Patients—Lessons Learned From SARS and MERS</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="24116">
                <text>Refik Pul, Thomas Skripuletz, Martin Stangel, Christoph Kleinschnitz, Harald Prüss, Torsten Witte, Nora Möhn</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) pandemic keeps the world in suspense. In addition to the fundamental challenges for the health care system, the individual departments must decide how to deal with patients at risk. Neurologists are confronted with the question, how they should advise their patients regarding immunosuppressive treatment. In particular, the large number of different disease-modifying therapies (DMTs) in the treatment of neuroimmunological diseases such as multiple sclerosis poses a challenge. To a limited extent, it might be useful to transfer knowledge from previous SARS- and Middle East respiratory syndrome (MERS) coronavirus outbreaks in 2002/2003 and 2012 to the current situation. Overall, immunosuppressive therapy does neither seem to have a major impact on infection with SARS- and MERS-CoV nor does it seem to lead to a severe disease course in many cases. Considering the immunological responses against infections with novel coronaviruses in humans, interferons, glatiramer acetate, and teriflunomide appear to be safe. As lymphopenia seems to be associated with a more severe disease course, all DMTs causing lymphopenia, such as cladribine, alemtuzumab, and dimethyl fumarate, need to be reviewed more thoroughly. As they are, in general, associated with a higher risk of infection, depleting anti-CD20 antibodies may be problematic drugs. However, it has to be differentiated between the depletion phase and the phase of immune reconstitution. In summary, previous coronavirus outbreaks have not shown an increased risk for immunocompromised patients. Patients with severe neuroimmunological diseases should be kept from hasty discontinuation of immunotherapy.</text>
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                <text>2020</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="24119">
                <text>Multiple Sclerosis, Immunosuppressive therapy, SARS, MERS, DMTs, COVID-19</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="24120">
                <text>DOI: 10.3389/fimmu.2020.01059</text>
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            </elementTextContainer>
          </element>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="24121">
                <text>Frontiers in Immunology</text>
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            </elementTextContainer>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="24122">
                <text>Frontiers Media S.A.</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="24123">
                <text>Immunologic diseases. Allergy</text>
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              <name>Title</name>
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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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                <text>COVID-19: The Conjunction of Events Leading to the Coronavirus Pandemic and Lessons to Learn for Future Threats</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="24125">
                <text>Marc López-Roig, Jordi Serra-Cobo, Roger Frutos, Christian A. Devaux</text>
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            <name>Date</name>
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                <text>2020</text>
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            <description>The topic of the resource</description>
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                <text>preparedness, dynamic, Emerging diseases, SARS-CoV-2, COVID-19</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="24128">
                <text>DOI: 10.3389/fmed.2020.00223</text>
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            </elementTextContainer>
          </element>
          <element elementId="48">
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            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="24129">
                <text>Frontiers in Medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
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                <text>Medicine (General)</text>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>The peculiarities of economic crisis due to COVID-19 pandemic in a developing country: case of Ukraine</text>
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                <text>Bohdan Danylyshyn</text>
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                <text>At the beginning of 2020, the world faced the most frightening threat to the population’s health – COVID-19 pandemic. For this reason, the international institutions, governments of countries and various organizations are forced to use unprecedented restrictive measures in many spheres of activity. As a result, the economies of the countries all over the world are significantly affected and are on the verge of crisis. This paper presents examples of economic consequences of COVID-19 pandemic for different countries of the world and analyzes still few scientific works, which study the influence of pandemic on their economies. The article generalizes the legislative and anti-crisis measures of the Ukrainian Government, as well as the National Bank of Ukraine and other state authorities. It is evidenced that at the end of 2019 and the beginning of 2020, Ukraine witnessed a significant decrease in GDP growth rate, reduction of industrial production and electricity production. The financial indicators also underwent significant losses, particularly the unemployment rate increased as thousands and thousands of labor migrants have returned to Ukraine from European and other countries. The article proves the inconsistency and unprofessionalism of such restrictive and regulatory measures. Finally, the necessity is substantiated to combine the methods of market economy and state regulation. The compulsory steps are offered, which would minimize the losses of the state and its population during this economic crisis.</text>
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                <text>2020</text>
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                <text>Ukraine, developing country, anti-crisis measures, COVID-19</text>
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                <text>DOI: 10.21511/ppm.18(2).2020.02</text>
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                <text>Problems and Perspectives in Management</text>
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                <text>LLC CPC "Business Perspectives""</text>
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                <text>Business</text>
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