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                  <text>Dominio científico: Coronavirus</text>
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                <text>A Strategy for International Cooperation in the COVID-19 Pandemic Era: Focusing on National Scientific Funding Data</text>
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                <text>Doyeon Lee, Keunhwan Kim, Yoseob Heo</text>
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                <text>The coronavirus crisis may lead to a deeper understanding of international collaborations for developing antivirals and vaccines that are essential to protect us from current and future health security threats. Beyond technical solutions, the government of South Korea needs to establish a timely strategic investment in coronavirus-related research and development (R&amp;D) in order to enhance the capabilities for managing this new uncertainty in regard to the domestic health crisis. Thus, this study aims to provide useful information about the status of global coronavirus-related research from the South Korean government’s perspective. National funded projects stemmed from leading nations such as the United States, countries of the European Union, and Japan between 2012 and 2018. Six research fields were derived by clustering analysis and an expert-based approach, and then matched to those of South Korea. The comparative analysis among them allowed for the identification of the nations’ strengths and weaknesses, thereby laying the groundwork for strategic international research collaborations.</text>
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                <text>coronavirus, Cluster analysis, Pandemic, Health policy, international cooperation, national scientific funds</text>
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                <text>10.3390/healthcare8030204</text>
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                <text>Epidemiology and Health</text>
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                <text>Korean Society of Epidemiology</text>
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                <text>Medicine</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>To what extent is air freight affected by the Corona virus pandemic?</text>
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                <text>Soufyane Bouali, Selma Douha, Nadjib Khadri</text>
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                <text>Purpose of the paper aims to find out the impact of the COVID-19 pandemic on the global air transport sector (passenger transport, air freight) during the first three months of 2020, and after analyzing the status of the global air transport market from January to March 2020, the study found that the CORONA pandemic has significantly affected this vital sector, where airlines suffered significant losses due to the cancellation of many flights and travel suspensions, in addition to the laying off of many employment and some of them went bankrupt, while the volume of air freight decreased after global supply chains were shut down as a result of the closure of factories and limited only to the transportation of medical equipment and food supplies in some countries, and the repercussions of this pandemic are expected to be severe on the global economy in the coming years.</text>
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                <text>covid-19, crisis, Transport, Air Cargo</text>
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                <text>10.14254/jsdtl.2020.5-2.9</text>
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                <text>Universidade Federal de Santa Catarina</text>
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                <text>Transportation engineering</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Current Options in the Treatment of COVID-19: A Review</text>
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                <text>Teimury A, Mahmoodi Khaledi E</text>
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            <description>An account of the resource</description>
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                <text>Azadeh Teimury, Elahe Mahmoodi Khaledi Department of Cell and Molecular Biology, Faculty of Chemistry, University of Kashan, Kashan, IranCorrespondence: Elahe Mahmoodi KhalediDepartment of Cell and Molecular Biology, Faculty of Chemistry, University of Kashan, Kashan, IranTel +9831-55913042Fax +9831-55511121Email e.mahmoodi_kh@kashanu.ac.irAbstract: Novel Coronavirus, also known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), emerged in December 2019 in China and spread rapidly all around the world infecting many people. To date, no specific vaccines and drugs have been developed for this disease. Also, due to the COVID-19 pandemic and high prevalence of the infected patients, the drugs and the therapies of other past viral epidemics have been used for this disease. Many studies have been performed on the specific treatments to find whether or not they are effective on COVID-19 patients. In this review, we collected information about the most widely used drugs to treat COVID-19 (coronavirus disease 2019) belonging to groups of antivirals, antibiotics, immune modulators, and anticoagulants. Some of these compounds and drugs were used directly by inpatients, so researchers have examined others in laboratory conditions. This study considered the pros and cons of using these treatments separately and together and compared their results. By studying this review, we hope to provide useful information for researchers.Keywords: SARS-CoV-2, COVID-19, antiviral drugs, antibiotics, immune modulators, anticoagulants</text>
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                <text>2020</text>
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                <text>covid-19, SARS-CoV-2, antiviral drugs, Antibiotics, anticoagulants, immune modulators</text>
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                <text>Biotemas</text>
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                <text>Universidade Federal de Santa Catarina</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>Public aspects of medicine</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>Knowledge and Anxiety Levels of African University Students Against COVID-19 During the Pandemic Outbreak by an Online Survey</text>
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                <text>Ochilbek Rakhmanov, Senol Dane</text>
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                <text>Introduction: The first case of COVID-19 in Nigeria was recorded on March 10, 2020. With a constant increment in numbers, all tertiary educational institutions were closed with an order of the Ministry of Education by March 20, 2020, and the government announced the initial lockdown of big cities on March 30, 2020. In this study, the information and anxiety levels of African university students against COVID-19 during the epidemic outbreak was investigated.Method: One hundred and eighty-three Nigerian university students participated in the study. Participants were 69 men and 114 women who were 17-21 years of age. To get their knowledge and anxiety scores, the questions selected by referencing previous and current epidemic studies were used.Results: The correct rate of knowledge was approximately 88% of Nigerian university students. The anxiety score was higher in women than in men. The students of the college of health sciences had higher knowledge scores than both students of faculty of natural and applied sciences and students of faculty of art and social sciences. Additionally, the 100 level students had lower knowledge scores than both 200 and 300 level students.Discussion: The gender difference supports the previous studies in which depression and alexithymia scores were high in women compared to men. The faculty difference may be attributed to a good and effective education of medical faculty students. The level difference may be attributed to the lower education level in the first-year students.Conclusion: The results of the present study and previous studies suggest that the knowledge levels should be increased and thus the anxiety levels should be decreased to overcome this disease via online systems. Also, the mental health of university students should be monitored.</text>
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                <text>2020</text>
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                <text>coronavirus, Anxiety, covid-19, Knowledge, pandemic outbreak, university students</text>
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                <text>Journal of Research in Medical and Dental Science</text>
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                <text>Amber Publication</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 (General), Dentistry</text>
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                <text>Professional Quality of Life and Mental Health Outcomes among Health Care Workers Exposed to Sars-Cov-2 (Covid-19)</text>
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                <text>Rodolfo Buselli, Martina Corsi, Sigrid Baldanzi, Martina Chiumiento, Elena Del Lupo, Valerio Dell'Oste, Carlo  Antonio Bertelloni, Gabriele Massimetti, Liliana Dell’Osso, Alfonso Cristaudo, Claudia Carmassi</text>
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                <text>The novel coronavirus disease 2019 (COVID-19) is a global pandemic spreading worldwide, and Italy represented the first European country involved. Healthcare workers (HCWs) facing COVID-19 pandemic represented an at-risk population for new psychosocial COVID-19 strain and consequent mental health symptoms. The aim of the present study was to identify the possible impact of working contextual and personal variables (age, gender, working position, years of experience, proximity to infected patients) on professional quality of life, represented by compassion satisfaction (CS), burnout, and secondary traumatization (ST), in HCWs facing COVID-19 emergency. Further, two multivariable linear regression analyses were fitted to explore the association of mental health selected outcomes, anxiety and depression, with some personal and working characteristics that are COVID-19-related. A sample of 265 HCWs of a major university hospital in central Italy was consecutively recruited at the outpatient service of the Occupational Health Department during the acute phase of COVID-19 pandemic. HCWs were assessed by Professional Quality of Life-5 (ProQOL-5), the Nine-Item Patient Health Questionnaire (PHQ-9), and the Seven-Item Generalized Anxiety Disorder scale (GAD-7) to evaluate, respectively, CS, burnout, ST, and symptoms of depression and anxiety. Females showed higher ST than males, while frontline staff and healthcare assistants reported higher CS rather than second-line staff and physicians, respectively. Burnout and ST, besides some work or personal variables, were associated to depressive or anxiety scores. The COVID-19 pandemic represents a new working challenge for HCWs and intervention strategies to prevent burnout and ST to reduce the risk of adverse mental health outcomes are needed.</text>
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              <elementText elementTextId="49778">
                <text>2020</text>
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            </elementTextContainer>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="49779">
                <text>covid-19, Burnout, Healthcare workers (HCWs), professional quality of life (ProQOL-5), compassion satisfaction (CS), secondary traumatization (ST)</text>
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                <text>10.3390/ijerph17176180</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>
              </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="49782">
                <text>Korean Society of Epidemiology</text>
              </elementText>
            </elementTextContainer>
          </element>
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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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            <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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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Study on Relevant Features in COVID-19 PCR Tests</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="49785">
                <text>Plácido  L. Vidal, Joaquim  de Moura, Lucía Ramos, Jorge Novo, Marcos Ortega</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>In the year 2020, the world suffered the effects of a global pandemic. COVID-19 is a disease that mainly affects the respiratory system of patients, even causing a disproportionate response of the immune system and further spreading the damage to other vital organs. The main means by which health care services detected this viral disease was through the use of Polymerase Chain Reactions (PCRs). These PCRs allow the detection of known chains of the genetic code of the virus in samples of sputum. In this work, we study PCR signal features that allow to automatize the analysis of hundreds of PCRs. The findings obtained from the study have shown these features to be capable of obtaining successful results in the detection of COVID-19 in PCR samples, with only a small fraction of the information extracted by the clinicians for that purpose.</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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              <elementText elementTextId="49787">
                <text>2020</text>
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            </elementTextContainer>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="49788">
                <text>covid-19, Polymerase chain reaction, feature analysis</text>
              </elementText>
            </elementTextContainer>
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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="49789">
                <text>10.3390/proceedings2020054045</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="49790">
                <text>Epidemiology and Health</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="49791">
                <text>Korean Society of Epidemiology</text>
              </elementText>
            </elementTextContainer>
          </element>
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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>
            <elementTextContainer>
              <elementText elementTextId="49792">
                <text>General Works</text>
              </elementText>
            </elementTextContainer>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <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>
              </elementTextContainer>
            </element>
          </elementContainer>
        </elementSet>
      </elementSetContainer>
    </collection>
    <itemType itemTypeId="1">
      <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>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="49793">
                <text>A brave new world: the new normal for general practice after the COVID-19 pandemic</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="49794">
                <text>Nada Khan, Daniel Jones, Adam Grice, Sarah Alderson, Stephen Bradley, Paul Carder, Jessica Drinkwater, Helen Edwards, Blessing Essang, Suzanne Richards, Richard Neal</text>
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            </elementTextContainer>
          </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="49795">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="49796">
                <text>coronavirus, covid-19, information technology, PRIMARY HEALTH CARE, General practice, Family medicine, community care</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="49797">
                <text>10.3399/bjgpopen20X101103</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="49798">
                <text>Epidemiology and Health</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="49799">
                <text>Korean Society of Epidemiology</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="49800">
                <text>Medicine (General)</text>
              </elementText>
            </elementTextContainer>
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        <src>https://www.socictopen.socict.org/files/original/f5d16f79f5e990fcdafd7b4cc776df5d.pdf</src>
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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>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
        </elementSet>
      </elementSetContainer>
    </collection>
    <itemType itemTypeId="1">
      <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>
    </itemType>
    <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">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="49801">
                <text>COVID-19 in Shanghai: IPC Policy Exploration in Support of Work Resumption Through System Dynamics Modeling</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="49802">
                <text>Zhao J, Jia J, Qian Y, Zhong L, Wang J, Cai Y</text>
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            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="49803">
                <text>Jidi Zhao,1 Jianguo Jia,2 Ying Qian,3 Lumin Zhong,4 Jiancong Wang,5 Yuyang Cai4,6 1Faculty of Economics and Management, East China Normal University, Shanghai, People&amp;rsquo;s Republic of China; 2System Dynamics Chapter, Systems Engineering Society of China, Beijing, People&amp;rsquo;s Republic of China; 3School of Management, Shanghai University, Shanghai, People&amp;rsquo;s Republic of China; 4School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, People&amp;rsquo;s Republic of China; 5Institute of Global Health, University of Geneva, Geneva, Switzerland; 6China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai, People&amp;rsquo;s Republic of ChinaCorrespondence: Yuyang Cai; Ying Qian Email caiyuyang@sjtu.edu.cn; qian.ying@t.shu.edu.cnPurpose: It is unclear how and to what extent various infection prevention and control (IPC) policies affect the spread of an epidemic during work resumption. In order to assess the impact of IPC policies, this research addresses the results of a policy simulation in Shanghai, China, which estimates the transmission dynamics of COVID-19 under various IPC policies and offers evidence-based outcomes of work resumption policies for the world.Materials and Methods: This simulation research is based on a system dynamics (SD) model that integrates IPC work resumption policies implemented in Shanghai into the classical susceptible-exposed-infected-removed (SEIR) epidemiological model. Input data were obtained from official websites, the Baidu migration index and published literature. The SD model was validated by comparing results with real-world data.Results: The simulations show that a non-quarantined and non-staged approach to work resumption (Policy 1) would bring a small secondary outbreak of COVID-19. The quarantined but non-staged approach (Policy 2) and the non-quarantined but staged approach (Policy 3) would not bring a secondary outbreak of COVID-19. However, they both would generate more newly confirmed cases than the staged and quarantined approach (Policy 4). Moreover, the 14-day quarantine policy alone appears to be more effective in reducing transmission risk than the staged work resumption policy alone. The combined staged and quarantined IPC policy led to the fewest confirmed cases caused by work resumption in Shanghai, and the spread of COVID-19 stopped (ie, the number of newly confirmed cases reduced to zero) at the earliest date.Conclusion: Conservative IPC policies can prevent a second outbreak of COVID-19 during work resumption. The dynamic systems model designed in this study can serve as a tool to test various IPC work resumption policies, facilitating decision-making in responses to combating the COVID-19 pandemic.Keywords: IPC policies, work resumption, COVID-19, system dynamics, SEIR</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>
            <elementTextContainer>
              <elementText elementTextId="49804">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="49805">
                <text>covid-19, SEIR, System Dynamics, work resumption, ipc policies</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="49806">
                <text>Biotemas</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="49807">
                <text>Universidade Federal de Santa Catarina</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="49808">
                <text>Public aspects of medicine</text>
              </elementText>
            </elementTextContainer>
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        <src>https://www.socictopen.socict.org/files/original/73e16813cdb502a40ae9d287d6b6d446.pdf</src>
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          <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>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
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      </elementSetContainer>
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    <itemType itemTypeId="1">
      <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>
    </itemType>
    <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">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="49809">
                <text>Should We Look for a Hero to Save Us from the Coronavirus? The Commons as an Alternative Trajectory for Social Change</text>
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            </elementTextContainer>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="49810">
                <text>Alex Pazaitis, Vasilis Kostakis, Prof., Giorgos Kallis, Prof., Katerina Troullaki</text>
              </elementText>
            </elementTextContainer>
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            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="49811">
                <text>The coronavirus outbreak has come in the aftermath of other concerning and disastrous events, from the rainforest fires in the Amazon to the wildfires of Australia. So far, the political response worldwide has been limited to identifying the villain and the hero who will first invent the life-saving vaccine. However, in a time of crisis, it is becoming obvious that the problem is not external but rather embedded and systemic. We argue that a political economy based on compound economic growth is unsustainable. While the pandemic is no proof of the unsustainability of economic growth as such, the speed and scope of this disease are driven by the interconnectivities of accelerated globalization. Through three ongoing cases, which we have been studying following a participatory action research approach, we discuss an alternative trajectory of a post-capitalist future based on the convergence of localized manufacturing with the digitally shared knowledge commons.</text>
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          <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="49812">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="49813">
                <text>degrowth, commons, sharing economy, post-capitalism, Peer Production</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="49814">
                <text>10.31269/triplec.v18i2.1203</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="49815">
                <text>tripleC: Communication, Capitalism &amp; Critique</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="49816">
                <text>tripleC</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="49817">
                <text>Communication. Mass media, Communities. Classes. Races</text>
              </elementText>
            </elementTextContainer>
          </element>
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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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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Las causas socioambientales de la pandemia COVID-19</text>
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            <name>Creator</name>
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                <text>Juan Carlos Eslava C.</text>
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            <name>Date</name>
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            <name>Identifier</name>
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                <text>10.17533/udea.rfnsp.e342049</text>
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            <name>Source</name>
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                <text>Biotemas</text>
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                <text>Universidade Federal de Santa Catarina</text>
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            <name>Coverage</name>
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                <text>Public aspects of medicine</text>
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