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                <text>Diseases of the musculoskeletal system</text>
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                <text>An Interview with the Ottawa Hospital’s Chief of Staff Dr. Virginia Roth</text>
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                <text>Dr. Virginia Roth is an infectious disease physician who has been the Ottawa Hospital’s Chief of Staff since 2018 and was the first woman to hold this position at TOH. An alumnus of the University of Ottawa Faculty of Medicine, she has also worked as an Epidemic Intelligence Service Officer at the U.S. Centers for Disease Control and Prevention (CDC) and as Director of Infection Control at TOH. She also holds an Executive MBA from the Telfer School of Management. We sat down with Dr. Roth in late-September to talk more about her career path and professional roles, the ongoing COVID-19 pandemic, and any advice for medical students as they navigate their own education and careers.  </text>
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                <text>University of Ottawa Journal of Medicine</text>
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                <text>An Intriguing Case of Pneumoperitoneum In a Patient With COVID-19: Do All Pneumoperitoneum Cases Need Surgery?</text>
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                <text>Salim Surani, Munish Sharma, Pratima Ojha, Pahnwat T Taweesedt, Iqbal Ratnani</text>
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                <text>Pneumoperitoneum is pneumatosis in the potential space of the abdominal cavity. It is generally considered a surgical emergency and is mostly due to perforated hollow viscus. Rarely, pneumoperitoneum might occur even in the absence of bowel perforation. We hereby present a case of pneumoperitoneum in a patient with COVID-19 pneumonia and pneumomediastinum, which was managed non-surgically.</text>
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                <text>An Introduction to Generative Justice</text>
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                <text>Ron Eglash</text>
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                <text>Marx proposed that capitalism’s destructive force is caused, at root, by the alienation of labor value from its generators. Environmentalists have added the concept of unalienated ecological value, and rights activists added the unalienated expressive value of free speech, sexuality, spirituality, etc. Marx’s vision for restoring an unalienated world by top-down economic governance was never fulfilled. But in the last 30 years, new forms of social justice have emerged that operate as “bottom-up”. Peer-to-peer production such as open source software or wikipedia has challenged the corporate grip on IP in a “gift exchange” of labor value; community based agroecology establishes a kind of gift exchange with our nonhuman allies in nature. DIY citizenship from feminist makerspaces to queer biohacking has profound implications for a new materialism of the “knowledge commons”; and restorative approaches to civil rights can challenge the prison-industrial complex. In contrast to top-down “distributive justice,” all of the above are cases of bottom-up or “generative justice” </text>
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                <text>DIY, Maker, ecología queer, indígena, peer-to-peer</text>
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                <text>10.5209/rev_TEKN.2016.v13.n2.52847</text>
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                <text>Revista Teknokultura</text>
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                <text>Universidad Complutense de Madrid</text>
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                <text>Social sciences (General), Communication. Mass media</text>
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                <text>&lt;a href="http://revistas.ucm.es/index.php/TEKN/article/view/52847" target="_blank" rel="noreferrer noopener"&gt;http://revistas.ucm.es/index.php/TEKN/article/view/52847&lt;/a&gt;</text>
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                <text>An investigation of three mathematical models on the COVID-19 pandemic: the case of Turkey</text>
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                <text>Mathematical modelling plays a major role in assessing, controlling, and forecasting potential outbreaks. This article consists of implementing mathematical forecasting models by Liang [14], Ma [16], and the curve fitting method with the least squares as a standard approach in regression analysis and compares those calculate results obtained from the Covid-19 outbreak data, which is announced by the Turkish Ministry of Health, between March 10, 2020, and May 15, 2020, in Turkey. For this purpose, we presented an overview of three mathematical models and finally, demonstrated their applications using the Ministry of Health of Turkey’s publicly reported data.</text>
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                <text>Gurdal Yilmaz, Kemalettin AYDIN, Rahmet ÇAYLAN, Ebru Emel SÖZEN, Gönülden AKTOZ BOZ, Iftihar Koksal</text>
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                <text>Flu, is an infectious disease caused by influenza viruses. Various different viruses, such as respiratory syncytial virus (RSV), parainfluenza virus, adenovirus, rhinovirus and coronavirus constitute infection with flulike symptoms. In our study, the patients who applied to our hospital with flu-like symptoms and clinical findings between October 2001 to April 2002 and October 2003 to April 2004 were evaluated. Viral antigens and antibodies in the nasopharyngeal aspirates and serum samples were investigated by immunofluorescent technique. In our study we determined etiological agents in 48.6% of 37 patients evaluated in the period I, and in 44% of 25 patients in the period II. In the first period, influenza B was determined as 61.1%, influenza A as 22.2% and RSV as 16.7%, while in the second period influenza A was determined as 45.5%, RSV as 27.3%, influenza B as 18.2% and parainfluenza type 1 as 9.1%. The most frequently encountered symptoms in patients were fatigue, fever, sweating, headache and muscle pain, coughing, running eyes, and sound and taste changes. Duration of symptoms was 6.8 ± 3.1 days in the group in which the etiological agent was identified and 4.6 ± 2.4 days in the group in which the etiological agent could not be determined. Our findings show that the dominant influenza virus type varies from year to year. Immunofluorescence, a rapid, reliable and simple test, is important in the identification of viral agents. However, agent identification becomes difficult in situations in which disease symptoms and viremia are not obvious and are short-lived. Agent identification and good clinical observation prevent inappropriate antibiotherapy aimed at bacterial infections in patients presenting with flu-like symptoms.</text>
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                <text>2007</text>
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                <text>Flora Infeksiyon Hastalıkları ve Klinik Mikrobiyoloji Dergisi</text>
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                <text>Bilimsel Tip Yayinevi</text>
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                <text>Infectious and parasitic diseases, Microbiology</text>
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                <text>Yi-Hsien Wang, Fu-Ju Yang, Li-Je Chen</text>
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                <text>Recently, increasing number of infectious diseases has swept the world. The outbreak of a contagious disease not only affects the health and lives of people but also causes economic growth to stagnate. Business in the biotechnology industry is closely related to infectious diseases but what exactly is the information value of the outbreak of infectious disease on biotechnology? This study investigates how such outbreaks can affect the performance of biotechnology stocks. In the past 10 years, major statutory infectious diseases in Taiwan have included ENTEROVIRUS 71, DENGUE FEVER, SARS and H1N1. The empirical results indicate that there is a significant abnormal return on company shares in Taiwan's biotechnology industry because of statutory infectious epidemics. The relationship between the financial ratios of biotechnology companies and abnormal returns was analyzed as part of this research. The results show that the influence on R&amp;D ratios, current ratios and assets are significant. Empirical findings reveal that the investors rationally measure operating conditions of the biotechnology companies during outbreaks of major infectious disease and adjust portfolio allocation accordingly.</text>
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                <text>2013</text>
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                <text>biotechnology industry, infectious diseases, investor's perspective, Abnormal Returns, stock performance, risk factor</text>
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                <text>DOI: 10.3846/16111699.2012.711360</text>
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                <text>Journal of Business Economics and Management</text>
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                <text>Vilnius Gedinimas Technical University</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>An IoT Framework for Screening of COVID-19 Using Real-Time Data from Wearable Sensors</text>
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                <text>Hamid Mukhtar, Saeed Rubaiee, Moez Krichen, Roobaea Alroobaea</text>
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                <text>Experts have predicted that COVID-19 may prevail for many months or even years before it can be completely eliminated. A major problem in its cure is its early screening and detection, which will decide on its treatment. Due to the fast contactless spreading of the virus, its screening is unusually difficult. Moreover, the results of COVID-19 tests may take up to 48 h. That is enough time for the virus to worsen the health of the affected person. The health community needs effective means for identification of the virus in the shortest possible time. In this study, we invent a medical device utilized consisting of composable sensors to monitor remotely and in real-time the health status of those who have symptoms of the coronavirus or those infected with it. The device comprises wearable medical sensors integrated using the Arduino hardware interfacing and a smartphone application. An IoT framework is deployed at the backend through which various devices can communicate in real-time. The medical device is applied to determine the patient’s critical status of the effects of the coronavirus or its symptoms using heartbeat, cough, temperature and Oxygen concentration (SpO2) that are evaluated using our custom algorithm. Until now, it has been found that many coronavirus patients remain asymptomatic, but in case of known symptoms, a person can be quickly identified with our device. It also allows doctors to examine their patients without the need for physical direct contact with them to reduce the possibility of infection. Our solution uses rule-based decision-making based on the physiological data of a person obtained through sensors. These rules allow to classify a person as healthy or having a possibility of infection by the coronavirus. The advantage of using rules for patient’s classification is that the rules can be updated as new findings emerge from time to time. In this article, we explain the details of the sensors, the smartphone application, and the associated IoT framework for real-time, remote screening of COVID-19.</text>
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                <text>coronavirus, algorithm, IoT, cough, Arduino, heart beat</text>
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                <text>10.3390/ijerph18084022</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>An Irish Department of Genito-Urinary Medicine in the COVID-19 Era.</text>
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                <text>C O'Connor, J Bourke, M Murphy, D Moriarty, M Horgan, S Cremin</text>
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                <text>10.1111/jdv.17169</text>
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                <text>Journal of the European Academy of Dermatology and Venereology : JEADV</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>An Italian Neurology Outpatient Clinic Facing SARS-CoV-2 Pandemic: Data From 2,167 Patients</text>
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                <text>Angela Romano, Amelia Evoli, Camillo Marra, Paolo Calabresi, Gabriella Silvestri, Maria Rita Lo Monaco, Matteo Lucchini, Massimiliano Mirabella, Giovanni Frisullo, Enrico Di Stasio, Francesco Bove, Catello Vollono, Giacomo Della Marca, Enzo Ricci, Anna  Rita Bentivoglio, Davide Quaranta, Valeria Guglielmi, Cristina Sancricca, Mauro Monforte, Guido Primiano, Serenella Servidei, Vittorio Riso, Valerio Brunetti, Marco Luigetti, Martina Petracca, Alessia Perna, Delfina Janiri, Agata Katia Patanella, Riccardo di Iorio, Gregorio Spagni, Eleonora Rollo, Marina Romozzi, Carla Piano, Simone Bellavia, Sara Bortolani, Andrea Di Paolantonio, Danilo Genovese, Tamara Ialongo, Jessica Marotta, Giorgia Presicce, Irene Scala, Marcella Solito, Luca Tricoli, Paola Zinzi</text>
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                <text>Objective: Neurological sequelae of SARS-CoV-2 infection have already been reported, but there is insufficient data about the impact of the pandemic on the management of the patients with chronic neurological diseases. We aim to analyze the effect of COVID-19 pandemic and social restriction rules on these fragile patients.Methods: Patients with chronic neurologic diseases routinely followed at the outpatient clinic of Gemelli University Hospital, Rome, were assessed for symptoms suggestive of SARS-CoV-2 infection in the pandemic period, consequences of social restrictions, and neurological disease features, concomitant medical conditions, current medical and disease-specific treatments. Data source: a dedicated telephone survey designed to encompass questions on COVID-19 symptoms and on pandemic effects in chronic neurologic conditions.Results: Overall, 2,167 individuals were analyzed: 63 patients reported contact with COVID-19 positive cases, 41 performed the swab, and 2 symptomatic patients tested positive for COVID-19 (0.09%). One hundred fifty-eight individuals (7%) needed urgent neurological care, deferred due to the pandemic; 641 patients (30%) suspended hospital treatments, physiotherapy or other support interventions; 405 individuals (19%) reported a subjective worsening of neurological symptoms.Conclusions: In our population, the presence of neurological chronic diseases did not increase the prevalence of COVID-19 infection. Nevertheless, the burden of neurological disorders has been worsened by the lockdown.</text>
              </elementText>
            </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="32460">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="32461">
                <text>infection, healthcare, coronavirus, Neurology, Pandemic, COVID-19</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="32462">
                <text>DOI: 10.3389/fneur.2020.00564</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="32463">
                <text>Frontiers in Neurology</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="32464">
                <text>Frontiers Media S.A.</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="32465">
                <text>Neurology. Diseases of the nervous system</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
</itemContainer>
