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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>
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                <text>Too Much Information: Assessing Privacy Risks of Contact Trace Data Disclosure on People With COVID-19 in South Korea</text>
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                <text>Hyun-Soo Lee, Uichin Lee, Gyuwon Jung, Auk Kim</text>
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            <name>Description</name>
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                <text>Introduction: With the COVID-19 outbreak, South Korea has been making contact trace data public to help people self-check if they have been in contact with a person infected with the coronavirus. Despite its benefits in suppressing the spread of the virus, publicizing contact trace data raises concerns about individuals' privacy. In view of this tug-of-war between one's privacy and public safety, this work aims to deepen the understanding of privacy risks of contact trace data disclosure practices in South Korea.Method: In this study, publicly available contact trace data of 970 confirmed patients were collected from seven metropolitan cities in South Korea (20th Jan–20th Apr 2020). Then, an ordinal scale of relative privacy risk levels was introduced for evaluation, and the assessment was performed on the personal information included in the contact trace data, such as demographics, significant places, sensitive information, social relationships, and routine behaviors. In addition, variance of privacy risk levels was examined across regions and over time to check for differences in policy implementation.Results: It was found that most of the contact trace data showed the gender and age of the patients. In addition, it disclosed significant places (home/work) ranging across different levels of privacy risks in over 70% of the cases. Inference on sensitive information (hobby, religion) was made possible, and 48.7% of the cases exposed the patient's social relationships. In terms of regional differences, a considerable discrepancy was found in the privacy risk for each category. Despite the recent release of government guidelines on data disclosure, its effects were still limited to a few factors (e.g., workplaces, routine behaviors).Discussion: Privacy risk assessment showed evidence of superfluous information disclosure in the current practice. This study discusses the role of “identifiability” in contact tracing to provide new directions for minimizing disclosure of privacy infringing information. Analysis of real-world data can offer potential stakeholders, such as researchers, service developers, and government officials with practical protocols/guidelines in publicizing information of patients and design implications for future systems (e.g., automatic privacy sensitivity checking) to strike a balance between one's privacy and the public benefits with data disclosure.</text>
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                <text>2020</text>
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            <name>Subject</name>
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                <text>Privacy, Contact Tracing, personal data, COVID-19, data disclosure, travel log</text>
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            <name>Identifier</name>
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              <elementText elementTextId="37316">
                <text>DOI: 10.3389/fpubh.2020.00305</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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              <elementText elementTextId="37317">
                <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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            <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>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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        <name>Dublin Core</name>
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            <description>A name given to the resource</description>
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                <text>Three Decades of Interferon-β in Multiple Sclerosis: Can We Repurpose This Information for the Management of SARS-CoV2 Infection?</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Cinthia Farina, Martina Severa, Marco Salvetti, Eliana Marina Coccia</text>
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                <text>2020</text>
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                <text>antiviral activity, type I IFN, Immunoregulation, multiple scleorsis (MS), SARS-CoV-2</text>
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            <name>Identifier</name>
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                <text>DOI: 10.3389/fimmu.2020.01459</text>
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          <element elementId="48">
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="37325">
                <text>Frontiers in Immunology</text>
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            <description>An entity responsible for making the resource available</description>
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                <text>Frontiers Media S.A.</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>Immunologic diseases. Allergy</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>
      <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>COVID-19 Prophylaxis: The Desperate Need for Mankind</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Muthuirulan Pushpanathan, Johnson Christdas</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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            <description>The topic of the resource</description>
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                <text>-</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="37332">
                <text>DOI: 10.22207/JPAM.14.SPL1.02</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="37333">
                <text>Journal of Pure and Applied Microbiology</text>
              </elementText>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="37334">
                <text>Journal of Pure and Applied Microbiology</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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              <elementText elementTextId="37335">
                <text>Microbiology</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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              </elementTextContainer>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
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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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              <elementText elementTextId="37336">
                <text>Managing a Sustainable and Resilient Perishable Food Supply Chain (PFSC) after an Outbreak</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="37337">
                <text>Quan Zhu, Harold Krikke</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>It is a challenging task to manage a perishable food supply chain (PFSC), due to the product’s short lifetime and to demand uncertainty. Even worse is the fact that, because of the multitude of participating stakeholders in production, distribution, and retailing, the PFSC becomes complex and thus particularly vulnerable to crises. Product shortages that result from an outbreak like COVID-19 often cause customers to seek alternative sources of supply, possibly with a larger purchasing amount (i.e. hoarding), leading to even severer demand uncertainty after the shortage period. To manage a sustainable and resilient PFSC after an outbreak, supply chain partners need to share and use the right information to facilitate decision making. A system dynamics simulation was thus applied to study a cheese supply chain with three tiers. Three scenarios that cause product shortages were simulated. Seven balanced feedback loops and two reinforced feedback loops were identified from the simulation model. Through the feedback loop dominance analysis, we identified four dominant loops that facilitate the generation of endogenous demand. In order to alleviate the negative influence of endogenous demand, it is suggested that the information sharing that causes endogenous demand be stopped and a loosely coupled strategy to support decision making utilized.</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>
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                <text>sustainability, Resilience, system dynamics, crisis management, perishable food supply chain, endogenous demand</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="37341">
                <text>DOI: 10.3390/su12125004</text>
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                <text>Sustainability</text>
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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>Environmental sciences, Renewable energy sources, Environmental effects of industries and plants</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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            <element elementId="41">
              <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>Title</name>
            <description>A name given to the resource</description>
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                <text>Effectiveness of the Early Response to COVID-19: Data Analysis and Modelling</text>
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="37346">
                <text>Edoardo Bertone, Oz Sahin, Khoi Nguyen, Martin  Jason  Luna Juncal, Rafaela  Keiko  Prado Umeno, Douglas  Alves Peixoto</text>
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            <description>An account of the resource</description>
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                <text>Governments around the world have introduced a number of stringent policies to try to contain COVID-19 outbreaks, but the relative importance of such measures, in comparison to the community response to these restrictions, the amount of testing conducted, and the interconnections between them, is not well understood yet. In this study, data were collected from numerous online sources, pre-processed and analysed, and a number of Bayesian Network models were developed, in an attempt to unpack such complexity. Results show that early, high-volume testing was the most crucial factor in successfully monitoring and controlling the outbreaks; when testing was low, early government and community responses were found to be both critical in predicting how rapidly cases and deaths grew in the first weeks of the outbreak. Results also highlight that in countries with low early test numbers, the undiagnosed cases could have been up to five times higher than the officially diagnosed cases. The conducted analysis and developed models can be refined in the future with more data and variables, to understand/model potential second waves of contagions.</text>
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                <text>2020</text>
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                <text>Pandemic, bayesian networks, System Thinking, COVID-19</text>
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                <text>DOI: 10.3390/systems8020021</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Fábio A. Nascimento, David Chiu, Abhay Kumar, Sean I. Savitz, Chintan Shah, Nicole Gonzales, Vivek Misra, Peter Kan, Ritvij Bowry, Sujan T. Reddy, Tanu Garg, Rajeel Imran, Andrew Barreto, John Volpi, Rajan Gadhia</text>
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                <text>COVID-19 has been associated with a hypercoagulable state causing cardiovascular and neurovascular complications. To further characterize cerebrovascular disease (CVD) in COVID-19, we review the current literature of published cases and additionally report the clinical presentation, laboratory and diagnostic testing results of 12 cases with COVID-19 infection and concurrent CVD from two academic medical centers in Houston, TX, USA, between March 1 and May 10, 2020. To date, there are 12 case studies reporting 47 cases of CVD in COVID-19. However, only 4 small case series have described the clinical and laboratory findings in patients with COVID-19 and concurrent stroke. Viral neurotropism, endothelial dysfunction, coagulopathy and inflammation are plausible proposed mechanisms of CVD in COVID-19 patients. In our case series of 12 patients, 10 patients had an ischemic stroke, of which 1 suffered hemorrhagic transformation and two had intracerebral hemorrhage. Etiology was determined to be embolic without a clear cause identified in 6 ischemic stroke patients, while the remaining had an identifiable source of stroke. The majority of the patients had elevated inflammatory markers such as D-dimer and interleukin-6. In patients with embolic stroke of unclear etiology, COVID-19 may have played a direct or indirect role in the processes that eventually led to the strokes while in the remaining cases, it is unclear if infection contributed partially or was an incidental finding.</text>
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                <text>Stroke, cerebrovascular disease, coronavirus, SARS-CoV-2, COVID-19, APLs</text>
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                <text>DOI: 10.1159/000508958</text>
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                <text>Case Reports in Neurology</text>
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                <text>Karger Publishers</text>
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                <text>Neurology. Diseases of the nervous system</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Atypical Presentation of COVID-19: Acute Renal Failure</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Metin Akgun, Bugra Kerget, Nazim Dogan</text>
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                <text>DOI: 10.5152/eurasianjmed.2020.20134</text>
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                <text>Eurasian Journal of Medicine</text>
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                <text>AVES</text>
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                <text>Medicine (General)</text>
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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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            <description>A name given to the resource</description>
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                <text>Review of therapeutic agents for the treatment of COVID-19</text>
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="37372">
                <text>Shadi Ziaie, Sara Salarian, Mehrdad Haghighi, Mirmohammad Miri, Mohammad Sistanizad, Seyedpouzhia Shojaei, Mehran Koucheck</text>
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            <description>An account of the resource</description>
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                <text>In late December 2019, a cluster of unexplained pneumonia cases has been reported in Wuhan, China, named coronavirus disease 2019 (COVID -19) which has been spreading in 204 countries. In this review, the mains pharmaceutical option quoted previously and especially available for ICU patients are reviewed.</text>
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            <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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                <text>immunomodulators, antiviral, Pharmacotherapy, COVID-19</text>
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            <description>An unambiguous reference to the resource within a given context</description>
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                <text>DOI: 10.22037/jcma.v5i1.29760</text>
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                <text>Journal of Cellular and Molecular Anesthesia</text>
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                <text>Shahid Beheshti University of Medical Sciences</text>
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                <text>Anesthesiology</text>
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              <name>Title</name>
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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>Artificial Intelligence in the Agri-Food System: Rethinking Sustainable Business Models in the COVID-19 Scenario</text>
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                <text>Assunta Di Vaio, Loris Landriani, Flavio Boccia, Rosa Palladino</text>
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                <text>The aim of the paper is to investigate the artificial intelligence (AI) function in agri-food industry, as well as the role of stakeholders in its supply chain. Above all, from the beginning of the new millennium, scholars and practitioners have paid an increasing attention to artificial intelligence (AI) technologies in operational processes management and challenges for new business models, in a sustainable and socially responsible perspective. Thus, the stakeholders can assume a proactive or marginal role in the value creation for business, according to their own environmental awareness. These issues appear still “open” in some industries, such as the agri-food system, where the adoption of new technologies requires rethinking and redesigning the whole business model. Methodologically, we brought forward an in-depth review of the literature about major articles in this field. Especially, the study has been conducted following two phases: firstly, we extracted from scientific databases (Web of Science, Scopus, and Google Scholar) and studied relevant articles; secondly, we analyzed the selected articles. The findings highlight interesting issues about AI towards a “space economy” to achieve sustainable and responsible business models, also in the perspective of the COVID-19 pandemic scenario. Theoretical and managerial implications are discussed.</text>
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                <text>Environmental awareness, Literature review, environmental space, stakeholder, space economy</text>
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                <text>DOI: 10.3390/su12124851</text>
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                <text>Sustainability</text>
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                <text>MDPI AG</text>
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                <text>Environmental sciences, Renewable energy sources, Environmental effects of industries and plants</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Stephen O. Onigbinde, Robert Hage, Ademola S. Ojo, Linwald Fleary</text>
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                <text>Objective. The COVID-19 pandemic and annual influenza epidemic are responsible for thousands of deaths globally. With a similarity in clinical as well as laboratory findings, there is a need to differentiate these two conditions on chest CT scan. This paper attempts to use existing literature to draw out differences in chest CT findings in COVID-19 and influenza. Methods. A search was conducted using PubMed. 17 original studies on chest CT findings in COVID-19 and influenza were identified for full-text review and data analysis. Findings. COVID-19 and influenza share similar chest CT findings. The differences found show that COVID-19 ground-glass opacities are usually peripherally located with the lower lobes being commonly involved, while influenza has a central, peripheral, or random distribution usually affecting the five lobes. Vascular engorgement, pleural thickening, and subpleural lines were reported in COVID-19 patients. In contrast, pneumomediastinum and pneumothorax were reported only in studies on influenza. Conclusion and Relevance. COVID-19 and influenza have overlapping chest CT features with few differences which can assist in telling apart the two pathologies. Additional studies are needed to further define the differences and degree between COVID-19 and influenza.</text>
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          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="37392">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="37393">
                <text>DOI: 10.1155/2020/6928368</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="37394">
                <text>BioMed Research International</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="37395">
                <text>Hindawi Limited</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="37396">
                <text>Medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
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</itemContainer>
