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                  <text>Dominio científico: Coronavirus</text>
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                <text>Mitigating the Psychological Impact of COVID-19 on Healthcare Workers: A Digital Learning Package</text>
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                <text>Graham Johnson, Holly Blake, Fiona Bermingham, Andrew Tabner</text>
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                <text>The coronavirus pandemic (COVID-19) will undoubtedly have psychological impacts for healthcare workers, which could be sustained; frontline workers will be particularly at risk. Actions are needed to mitigate the impacts of COVID-19 on mental health by protecting and promoting the psychological wellbeing of healthcare workers during and after the outbreak. We developed and evaluated a digital learning package using Agile methodology within the first three weeks of UK outbreak. This e-package includes evidence-based guidance, support and signposting relating to psychological wellbeing for all UK healthcare employees. A three-step rapid development process included public involvement activities (PPIs) (STEP 1), content and technical development with iterative peer review (STEP 2), and delivery and evaluation (STEP 3). The package outlines the actions that team leaders can take to provide psychologically safe spaces for staff, together with guidance on communication and reducing social stigma, peer and family support, signposting others through psychological first aid (PFA), self-care strategies (e.g., rest, work breaks, sleep, shift work, fatigue, healthy lifestyle behaviours), and managing emotions (e.g., moral injury, coping, guilt, grief, fear, anxiety, depression, preventing burnout and psychological trauma). The e-package includes advice from experts in mental wellbeing as well as those with direct pandemic experiences from the frontline, as well as signposting to public mental health guidance. Rapid delivery in STEP 3 was achieved via direct emails through professional networks and social media. Evaluation included assessment of fidelity and implementation qualities. Essential content was identified through PPIs (n = 97) and peer review (n = 10) in STEPS 1 and 2. The most important messages to convey were deemed to be normalisation of psychological responses during a crisis, and encouragement of self-care and help-seeking behaviour. Within 7 days of completion, the package had been accessed 17,633 times, and healthcare providers had confirmed immediate adoption within their health and wellbeing provisions. Evaluation (STEP 3, n = 55) indicated high user satisfaction with content, usability and utility. Assessment of implementation qualities indicated that the package was perceived to be usable, practical, low cost and low burden. Our digital support package on ‘psychological wellbeing for healthcare workers’ is free to use, has been positively evaluated and was highly accessed within one week of release. It is available here: Supplementary Materials. This package was deemed to be appropriate, meaningful and useful for the needs of UK healthcare workers. We recommend provision of this e-package to healthcare workers alongside wider strategies to support their psychological wellbeing during and after the COVID-19 pandemic.</text>
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                <text>DOI: 10.3390/ijerph17092997</text>
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                <text>International Journal of Environmental Research and Public Health</text>
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                <text>Medicine</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>On Estimating the Number of Deaths Related to Covid-19</text>
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                <text>Hoang Pham</text>
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                <text>In this paper, we discuss an explicit model function that can estimate the total number of deaths in the population, and particularly, estimate the cumulative number of deaths in the United States due to the current Covid-19 virus. We compare the modeling results to two related existing models based on a new criteria and several existing criteria for model selection. The results show the proposed model fits significantly better than the other two related models based on the U.S. Covid-19 death data. We observe that the errors of the fitted data and the predicted data points on the total number of deaths in the U.S. on the last available data point and the next coming day are less than 0.5% and 2.0%, respectively. The results show very encouraging predictability for the model. The new model predicts that the maximum total number of deaths will be approximately 62,100 across the United States due to the Covid-19 virus, and with a 95% confidence that the expected total death toll will be between 60,951 and 63,249 deaths based on the data until 22 April, 2020. If there is a significant change in the coming days due to various testing strategies, social-distancing policies, the reopening of community strategies, or a stay-home policy, the predicted death tolls will definitely change. Future work can be explored further to apply the proposed model to global Covid-19 death data and to other applications, including human population mortality, the spread of disease, and different topics such as movie reviews in recommender systems.</text>
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                <text>Model selection, model prediction, COVID-19, number of death estimation, model criteria</text>
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                <text>DOI: 10.3390/math8050655</text>
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                <text>Mathematics</text>
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                <text>MDPI AG</text>
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                <text>Mathematics</text>
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                  <text>Dominio científico: Coronavirus</text>
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            <description>A name given to the resource</description>
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                <text>Oral Chemotherapy for Treatment of Lung Cancer</text>
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                <text>Stephen V. Liu, Chul Kim, Sushma Jonna, Joshua E. Reuss</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="29114">
                <text>The global COVID-19 pandemic has disrupted healthcare delivery, particularly for patients with advanced lung cancer. While certain aspects of care can be safely omitted or delayed, systemic therapy plays an important role in survival and quality of life for patients with advanced lung cancer; limiting access to systemic therapy will compromise cancer-related outcomes. This can be at odds with strategies to mitigate risk of COVID-19 exposure, which include reducing hospital and clinic visits. One important strategy is implementation of oral cancer therapies. Many standard regimens require intravenous infusions but there are specific circumstances where an oral agent could be an acceptable alternative. Integrating oral therapeutics can permit patients to receive effective systemic treatment without the exposure risks associated with frequent infusions. Here, we review currently available oral cytotoxic agents with a potential role in the treatment of lung cancer.</text>
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                <text>2020</text>
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                <text>chemotherapy, capecitabine, temozolomide, Vinorelbine, Topotecan, oral therapy</text>
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                <text>DOI: 10.3389/fonc.2020.00793</text>
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                <text>Frontiers in Oncology</text>
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                <text>Frontiers Media S.A.</text>
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                <text>Neoplasms. Tumors. Oncology. Including cancer and carcinogens</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Structural and Evolutionary Analysis Indicate That the SARS-CoV-2 Mpro Is a Challenging Target for Small-Molecule Inhibitor Design</text>
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                <text>Jack A Tuszynski, Karolina Mitusińska, Maria Bzówka, Artur Góra, Agata Raczyńska, Aleksandra Samol</text>
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                <text>The novel coronavirus whose outbreak took place in December 2019 continues to spread at a rapid rate worldwide. In the absence of an effective vaccine, inhibitor repurposing or de novo drug design may offer a longer-term strategy to combat this and future infections due to similar viruses. Here, we report on detailed classical and mixed-solvent molecular dynamics simulations of the main protease (Mpro) enriched by evolutionary and stability analysis of the protein. The results were compared with those for a highly similar severe acute respiratory syndrome (SARS) Mpro protein. In spite of a high level of sequence similarity, the active sites in both proteins showed major differences in both shape and size, indicating that repurposing SARS drugs for COVID-19 may be futile. Furthermore, analysis of the binding site’s conformational changes during the simulation time indicated its flexibility and plasticity, which dashes hopes for rapid and reliable drug design. Conversely, structural stability of the protein with respect to flexible loop mutations indicated that the virus’ mutability will pose a further challenge to the rational design of small-molecule inhibitors. However, few residues contribute significantly to the protein stability and thus can be considered as key anchoring residues for Mpro inhibitor design.</text>
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                <text>coronavirus, molecular dynamics simulations, SARS-CoV, SARS-CoV-2, COVID-19, ligand tracking approach</text>
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                <text>DOI: 10.3390/ijms21093099</text>
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                <text>International Journal of Molecular Sciences</text>
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                <text>MDPI AG</text>
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                <text>Biology (General), Chemistry</text>
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                <text>Lab-on-a-Chip Technologies for the Single Cell Level: Separation, Analysis, and Diagnostics</text>
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                <text>Axel Hochstetter</text>
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                <text>In the last three decades, microfluidics and its applications have been on an exponential rise, including approaches to isolate rare cells and diagnose diseases on the single-cell level. The techniques mentioned herein have already had significant impacts in our lives, from in-the-field diagnosis of disease and parasitic infections, through home fertility tests, to uncovering the interactions between SARS-CoV-2 and their host cells. This review gives an overview of the field in general and the most notable developments of the last five years, in three parts: 1. What can we detect? 2. Which detection technologies are used in which setting? 3. How do these techniques work? Finally, this review discusses potentials, shortfalls, and an outlook on future developments, especially in respect to the funding landscape and the field-application of these chips.</text>
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                <text>2020</text>
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            <name>Subject</name>
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                <text>cancer, parasites, diagnostics, microfluidics, Biomedical engineering, single-cell level</text>
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            </elementTextContainer>
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                <text>DOI: 10.3390/mi11050468</text>
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                <text>Micromachines</text>
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            </elementTextContainer>
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            <description>An entity responsible for making the resource available</description>
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                <text>MDPI AG</text>
              </elementText>
            </elementTextContainer>
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                <text>Mechanical engineering and machinery</text>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
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        <name>Dublin Core</name>
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                <text>Pharmacological (or Synthetic) and Nutritional Agonists of PPAR-γ as Candidates for Cytokine Storm Modulation in COVID-19 Disease</text>
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                <text>Gianandrea Pasquinelli, Sabrina Valente, Carmen Ciavarella, Ilenia Motta</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="29141">
                <text>The cytokine storm is an abnormal production of inflammatory cytokines, due to the over-activation of the innate immune response. This mechanism has been recognized as a critical mediator of influenza-induced lung disease, and it could be pivotal for COVID-19 infections. Thus, an immunomodulatory approach targeting the over-production of cytokines could be proposed for viral aggressive pulmonary disease treatment. In this regard, the peroxisome proliferator-activated receptor (PPAR)-γ, a member of the PPAR transcription factor family, could represent a potential target. Beside the well-known regulatory role on lipid and glucose metabolism, PPAR-γ also represses the inflammatory process. Similarly, the PPAR-γ agonist thiazolidinediones (TZDs), like pioglitazone, are anti-inflammatory drugs with ameliorating effects on severe viral pneumonia. In addition to the pharmacological agonists, also nutritional ligands of PPAR-γ, like curcuma, lemongrass, and pomegranate, possess anti-inflammatory properties through PPAR-γ activation. Here, we review the main synthetic and nutritional PPAR-γ ligands, proposing a dual approach based on the strengthening of the immune system using pharmacological and dietary strategies as an attempt to prevent/treat cytokine storm in the case of coronavirus infection.</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="29143">
                <text>inflammation, metabolism, PPARγ, Cytokine storm, Coronavirus infection, PPARγ agonists</text>
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            <name>Identifier</name>
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              <elementText elementTextId="29144">
                <text>DOI: 10.3390/molecules25092076</text>
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                <text>Molecules</text>
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            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="29146">
                <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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              <elementText elementTextId="29147">
                <text>Organic chemistry</text>
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            <element elementId="50">
              <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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              <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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            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="29148">
                <text>Infection-Immunity Competition: A Simple Model for Illustrating the Background of Individual Response on Herd Immunity</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="29149">
                <text>Johann  Michael Köhler</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>For achieving herd immunity, the proportion of individuals who are immunized, and the proportion of susceptible individuals are normally regarded as the key factors. Here, it is discussed that the immunity is not a yes/no decision in all cases, but a limited (relative) immunity should be kept in mind. This effect would cause a dependence of infection from the level of immunity and the strength of single-infection impact events (virus load). As a result, a stepwise enhancement of low-level immunity could be achieved in case of infection contacts at low concentrations of infectious particles. This behavior is probably important for airborne infection paths. Therefore, it might play a role in the case of the recent SARS (new coronavirus) pandemic and could have a strong effect on herd immunity.</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>herd immunity, infection susceptibility, individual response, air born infection paths, corona pandemic, multi-step immunization</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="29153">
                <text>DOI: 10.3390/app10093078</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="29154">
                <text>Applied Sciences</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="29155">
                <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>
            <elementTextContainer>
              <elementText elementTextId="29156">
                <text>Biology (General), Technology, Physics, Chemistry, Engineering (General). Civil engineering (General)</text>
              </elementText>
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  <item itemId="3126" public="1" featured="0">
    <fileContainer>
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        <src>https://www.socictopen.socict.org/files/original/6b9b5e64a96d795a60966989f78eca08.pdf</src>
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            <element elementId="50">
              <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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              </elementTextContainer>
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            <element elementId="41">
              <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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    <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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      <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>
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              <elementText elementTextId="29157">
                <text>Ebola, Zika, Corona…What Is Next for Our World?</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="29158">
                <text>Timothy R Jordan, Y. Tony Yang, Jagdish Khubchandani</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="29159">
                <text>In the past century, there have been several pandemics. Within the context of global health, these pandemics have often been viewed from the lens of determinants such as population, poverty, and pollution. With an ever-changing world and the COVID-19 pandemic, the current global determinants of public health need to be expanded. In this editorial, we explore and redefine the major determinants of global public health to prevent future pandemics. Policymakers and global leaders should keep at heart the determinants suggested hereby in any planning, implementation, and evaluation of efforts to improve global public health and prevent pandemics.</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="29161">
                <text>poverty, global health, Public Health, coronavirus, Pandemics, 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: 10.3390/ijerph17093171</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="29163">
                <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="29164">
                <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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              <elementText elementTextId="29165">
                <text>Medicine</text>
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            </elementTextContainer>
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        <src>https://www.socictopen.socict.org/files/original/655a92f526caf41c505f7458fb70ac13.pdf</src>
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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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            <description>A name given to the resource</description>
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                <text>The Human Coronavirus Disease COVID-19: Its Origin, Characteristics, and Insights into Potential Drugs and Its Mechanisms</text>
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="29167">
                <text>Manar Atoum, Foad Alzoughool, Lo’ai Alanagreh</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>The emerging coronavirus disease (COVID-19) swept across the world, affecting more than 200 countries and territories. Genomic analysis suggests that the COVID-19 virus originated in bats and transmitted to humans through unknown intermediate hosts in the Wuhan seafood market, China, in December of 2019. This virus belongs to the Betacoronavirus group, the same group of the 2003 severe acute respiratory syndrome coronavirus (SARS-CoV), and for the similarity, it was named SARS-CoV-2. Given the lack of registered clinical therapies or vaccines, many physicians and scientists are investigating previously used clinical drugs for COVID-19 treatment. In this review, we aim to provide an overview of the CoVs origin, pathogenicity, and genomic structure, with a focus on SARS-CoV-2. Besides, we summarize the recently investigated drugs that constitute an option for COVID-19 treatment.</text>
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                <text>2020</text>
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                <text>antiviral therapies, SARS-CoV-2, 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: 10.3390/pathogens9050331</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Pathogens</text>
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            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="29173">
                <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>
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                <text>Medicine</text>
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                <text>Even Covid-19 could teach us something if we were good students!</text>
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                <text>In these dramatic times most of the attention is paid to the statistics of recovered, dead and infected people. But here I would point out another aspect that can make us able to forget even for a very short moment the terrible statistics I mentioned above and open us to hope.  While we are closed and locked in our homes nature seems to take a breath. Some days ago, a family of ducks walking around in a desert Florence and looking for something to eat inspired an incredible feeling of tenderness. This was just the latter of a series of images available on the web, at the same time disquieting, romantic and bucolic, that illustrate the amazing transformation of nature and of fauna in the time of this pandemy.</text>
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