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                  <text>Dominio científico: Coronavirus</text>
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                <text>The Predictive Capacity of Air Travel Patterns During the Global Spread of the COVID-19 Pandemic: Risk, Uncertainty and Randomness</text>
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                <text>Panayotis Christidis, Aris Christodoulou</text>
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                <text>Air travel has a decisive role in the spread of infectious diseases at the global level. We present a methodology applied during the early stages of the COVID-19 pandemic that uses detailed aviation data at the final destination level in order to measure the risk of the disease spreading outside China. The approach proved to be successful in terms of identifying countries with a high risk of infected travellers and as a tool to monitor the evolution of the pandemic in different countries. The high number of undetected or asymptomatic cases of COVID-19, however, limits the capacity of the approach to model the full dynamics. As a result, the risk for countries with a low number of passengers from Hubei province appeared as low. Globalization and international aviation connectivity allow travel times that are much shorter than the incubation period of infectious diseases, a fact that raises the question of how to react in a potential new pandemic.</text>
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                <text>2020</text>
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                <text>Risk assessment, coronavirus, aviation, air transport, epidemic model, COVID-19</text>
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                <text>DOI: 10.3390/ijerph17103356</text>
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                <text>International Journal of Environmental Research and Public Health</text>
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                <text>MDPI AG</text>
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                <text>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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                <text>Essential Oils as Antiviral Agents. Potential of Essential Oils to Treat SARS−CoV−2 Infection: An &lt;i&gt;In−Silico&lt;/i&gt; Investigation</text>
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                <text>Joyce Kelly R. da Silva, William N. Setzer, Kendall G. Byler, Pablo Luis Baia Figueiredo</text>
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                <text>Essential oils have shown promise as antiviral agents against several pathogenic viruses. In this work we hypothesized that essential oil components may interact with key protein targets of the 2019 severe acute respiratory syndrome coronavirus 2 (SARS−CoV−2). A molecular docking analysis was carried out using 171 essential oil components with SARS−CoV−2 main protease (SARS−CoV−2 Mpro), SARS−CoV−2 endoribonucleoase (SARS−CoV−2 Nsp15/NendoU), SARS−CoV−2 ADP−ribose−1″−phosphatase (SARS−CoV−2 ADRP), SARS−CoV−2 RNA−dependent RNA polymerase (SARS−CoV−2 RdRp), the binding domain of the SARS−CoV−2 spike protein (SARS−CoV−2 rS), and human angiotensin−converting enzyme (hACE2). The compound with the best normalized docking score to SARS−CoV−2 Mpro was the sesquiterpene hydrocarbon (E)−β−farnesene. The best docking ligands for SARS−CoV Nsp15/NendoU were (E,E)−α−farnesene, (E)−β−farnesene, and (E,E)−farnesol. (E,E)−Farnesol showed the most exothermic docking to SARS−CoV−2 ADRP. Unfortunately, the docking energies of (E,E)−α−farnesene, (E)−β−farnesene, and (E,E)−farnesol with SARS−CoV−2 targets were relatively weak compared to docking energies with other proteins and are, therefore, unlikely to interact with the virus targets. However, essential oil components may act synergistically, essential oils may potentiate other antiviral agents, or they may provide some relief of COVID−19 symptoms.</text>
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                <text>2020</text>
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                <text>essential oils, molecular docking, antiviral, coronavirus, COVID‐19</text>
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            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="30944">
                <text>DOI: 10.3390/ijms21103426</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>International Journal of Molecular Sciences</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>MDPI AG</text>
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            <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>Biology (General), Chemistry</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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            <description>A name given to the resource</description>
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                <text>HIV and SARS-Coronavirus-2 Epidemics: Possible Interactions and Need for Studies, Especially in Africa</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Bartholomew Dzudzor, Sandro Vento, Massimiliano Lanzafame, Adonis Goushchi, Francesca Cainelli, Sirika Chhem</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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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>HIV, Africa, SARS-CoV-2, COVID-19, antiretrovirals (ARVs)</text>
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            <name>Identifier</name>
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              <elementText elementTextId="30935">
                <text>DOI: 10.3389/fmed.2020.00216</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="30936">
                <text>Frontiers in Medicine</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>Medicine (General)</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>Title</name>
            <description>A name given to the resource</description>
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                <text>Recommendations for Physical Inactivity and Sedentary Behavior During the Coronavirus Disease (COVID-19) Pandemic</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Silvia Maffei, Pascal Izzicupo, Angela Di Baldassarre, Sabina Gallina, Federica Moscucci, Anna Vittoria Mattioli, Susanna Sciomer, Fabrizio Ricci</text>
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                <text>2020</text>
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            <description>The topic of the resource</description>
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                <text>physical activity, sedentary behavior, coronavirus, quarantine, cardiovascular prevention, COVID-19</text>
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                <text>DOI: 10.3389/fpubh.2020.00199</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Frontiers in Public Health</text>
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            <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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            <description>A name given to the resource</description>
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                <text>Saliva—Friend and Foe in the COVID-19 Outbreak</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Pingping Han, Saso Ivanovski</text>
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            <description>An account of the resource</description>
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                <text>The coronavirus disease 2019 (COVID-19) outbreak, caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has become a global ongoing pandemic. Timely, accurate and non-invasive SARS-CoV-2 detection in both symptomatic and asymptomatic patients, as well as determination of their immune status, will facilitate effective large-scale pandemic control measures to prevent the spread of COVID-19. Saliva is a biofluid whose anatomical source and location is of particularly strategic relevance to COVID-19 transmission and monitoring. This review focuses on the role of saliva as both a foe (a common mode of viral transmission via salivary droplets and potentially aerosols) and a friend (as a non-invasive diagnostic tool for viral detection and immune status surveillance) in combating COVID-19.</text>
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                <text>2020</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>salivary diagnostics, COVID-19, salivary bioaerosols transmission</text>
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                <text>In this Editorial, we list and discuss some of the main challenges faced by the population and public health authorities in Brazil concerning arbovirus infections, including the occurrence of concurrent epidemics like the ongoing SARS-CoV-2/COVID-19 pandemic.</text>
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                <text>DOI: 10.3390/tropicalmed5020075</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Cytokine Release Syndrome in COVID-19 Patients, A New Scenario for an Old Concern: The Fragile Balance between Infections and Autoimmunity</text>
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                <text>Bruno Laganà, Andrea Picchianti-Diamanti, Giorgio Sesti, Maria Manuela Rosado, Claudio Pioli</text>
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            <description>An account of the resource</description>
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                <text>On 7 January 2020, researchers isolated and sequenced in China from patients with severe pneumonitis a novel coronavirus, then called SARS-CoV-2, which rapidly spread worldwide, becoming a global health emergency. Typical manifestations consist of flu-like symptoms such as fever, cough, fatigue, and dyspnea. However, in about 20% of patients, the infection progresses to severe interstitial pneumonia and can induce an uncontrolled host-immune response, leading to a life-threatening condition called cytokine release syndrome (CRS). CRS represents an emergency scenario of a frequent challenge, which is the complex and interwoven link between infections and autoimmunity. Indeed, treatment of CRS involves the use of both antivirals to control the underlying infection and immunosuppressive agents to dampen the aberrant pro-inflammatory response of the host. Several trials, evaluating the safety and effectiveness of immunosuppressants commonly used in rheumatic diseases, are ongoing in patients with COVID-19 and CRS, some of which are achieving promising results. However, such a use should follow a multidisciplinary approach, be accompanied by close monitoring, be tailored to patient’s clinical and serological features, and be initiated at the right time to reach the best results. Autoimmune patients receiving immunosuppressants could be prone to SARS-CoV-2 infections; however, suspension of the ongoing therapy is contraindicated to avoid disease flares and a consequent increase in the infection risk.</text>
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                <text>2020</text>
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                <text>rheumatoid arthritis, autoimmunity, Immunomodulation, Cytokine release syndrome, SARS-CoV-2, COVID-19</text>
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                <text>DOI: 10.3390/ijms21093330</text>
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                <text>International Journal of Molecular 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="30903">
                <text>MDPI AG</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Biology (General), Chemistry</text>
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              <name>Title</name>
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                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
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                <text>A Systematic Review Analyzing the Prevalence and Circulation of Influenza Viruses in Swine Population Worldwide</text>
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                <text>Michelle L. Gordon, Ravendra  P. Chauhan</text>
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            <description>An account of the resource</description>
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                <text>The global anxiety and a significant threat to public health due to the current COVID-19 pandemic reiterate the need for active surveillance for the zoonotic virus diseases of pandemic potential. Influenza virus due to its wide host range and zoonotic potential poses such a significant threat to public health. Swine serve as a “mixing vessel” for influenza virus reassortment and evolution which as a result may facilitate the emergence of new strains or subtypes of zoonotic potential. In this context, the currently available scientific data hold a high significance to unravel influenza virus epidemiology and evolution. With this objective, the current systematic review summarizes the original research articles and case reports of all the four types of influenza viruses reported in swine populations worldwide. A total of 281 articles were found eligible through screening of PubMed and Google Scholar databases and hence were included in this systematic review. The highest number of research articles (n = 107) were reported from Asia, followed by Americas (n = 97), Europe (n = 55), Africa (n = 18), and Australia (n = 4). The H1N1, H1N2, H3N2, and A(H1N1)pdm09 viruses were the most common influenza A virus subtypes reported in swine in most countries across the globe, however, few strains of influenza B, C, and D viruses were also reported in certain countries. Multiple reports of the avian influenza virus strains documented in the last two decades in swine in China, the United States, Canada, South Korea, Nigeria, and Egypt provided the evidence of interspecies transmission of influenza viruses from birds to swine. Inter-species transmission of equine influenza virus H3N8 from horse to swine in China expanded the genetic diversity of swine influenza viruses. Additionally, numerous reports of the double and triple-reassortant strains which emerged due to reassortments among avian, human, and swine strains within swine further increased the genetic diversity of swine influenza viruses. These findings are alarming hence active surveillance should be in place to prevent future influenza pandemics.</text>
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                <text>2020</text>
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            <name>Subject</name>
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                <text>Influenza A virus, swine influenza virus, influenza B virus, Influenza C virus, influenza D virus, avian-origin influenza virus</text>
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            <name>Identifier</name>
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              <elementText elementTextId="30892">
                <text>DOI: 10.3390/pathogens9050355</text>
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                <text>Pathogens</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="30894">
                <text>MDPI AG</text>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Medicine</text>
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              <name>Title</name>
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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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                <text>Covid-19—The real role of NSAIDs in Italy</text>
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                <text>Giuseppe M. Peretti, Nicola Maffulli, Anna T. Brini, Laura De Girolamo</text>
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                <text>2020</text>
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                <text>DOI: 10.1186/s13018-020-01682-x</text>
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                <text>Journal of Orthopaedic Surgery and Research</text>
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                <text>BMC</text>
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                <text>Diseases of the musculoskeletal system, Orthopedic surgery</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>Modeling the trend of coronavirus disease 2019 and restoration of operational capability of metropolitan medical service in China: a machine learning and mathematical model-based analysis</text>
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              <elementText elementTextId="30873">
                <text>Hao Zhang, Shuai Huang, Huiying Liang, Xin Yin, Zhanhao Su, Wenlong Lu, Zeye Liu</text>
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                <text>Abstract Background To contain the outbreak of coronavirus disease 2019 (COVID-19) in China, many unprecedented intervention measures are adopted by the government. However, these measures may interfere in the normal medical service. We sought to model the trend of COVID-19 and estimate the restoration of operational capability of metropolitan medical service in China. Methods Real-time data of COVID-19 and population mobility data were extracted from open sources. SEIR (Susceptible, Exposed, Infectious, Recovered) and neural network models (NNs) were built to model disease trends in Wuhan, Beijing, Shanghai and Guangzhou. Combined with public transportation data, Autoregressive Integrated Moving Average (ARIMA) model was used to estimate the accumulated demands for nonlocal hospitalization during the epidemic period in Beijing, Shanghai and Guangzhou. Results The number of infected people and deaths would increase by 45% and 567% respectively, given that the government only has implemented traffic control in Wuhan without additional medical professionals. The epidemic of Wuhan (measured by cumulative confirmed cases) was predicted to reach turning point at the end of March and end in later April, 2020. The outbreak in Beijing, Shanghai and Guangzhou was predicted to end at the end of March and the medical service could be fully back to normal in middle of April. During the epidemic, the number of nonlocal inpatient hospitalizations decreased by 69.86%, 57.41% and 66.85% in Beijing, Shanghai and Guangzhou respectively. After the end of epidemic, medical centers located in these metropolises may face 58,799 (95% CI 48926–67,232) additional hospitalization needs in the first month. Conclusion The COVID-19 epidemic in China has been effectively contained and medical service across the country is expected to return to normal in April. However, the huge unmet medical needs for other diseases could result in massive migration of patients and their families, bringing tremendous challenges for medical service in major metropolis and disease control for the potential asymptomatic virus carrier.</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="30875">
                <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="30876">
                <text>DOI: 10.1186/s41256-020-00145-4</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="30877">
                <text>Global Health Research and Policy</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="30878">
                <text>BMC</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="30879">
                <text>Public aspects of medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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  </item>
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