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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>The Mechanism and Clinical Outcome of patients with Corona Virus Disease 2019 Whose Nucleic Acid Test has changed from negative to positive, and the therapeutic efficacy of Favipiravir: A structured summary of a study protocol for a randomised controlled trial</text>
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                <text>Chi Zhang, Hong Zhao, Zhao Wu, Jia-wen Li, Guiqiang Wang</text>
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                <text>Abstract Objectives A variety of possible mechanisms can make the nucleic acid test of patients who meet the discharge conditions positive again, including reinfection, reactivation of the original virus, lack of strict discharge criteria, new infection, and so on. Different reasons will correspond to different prevention and control measures. We will enroll patients who are discharged after treatment, whose nucleic acid test has changed from negative to positive during the screening visit, regardless of the severity of the symptoms, to investigate the mechanism, clinical outcome and therapeutic efficacy with Favipiravir patients with Corona virus Disease 2019. Favipiravir is an anti-viral agent that selectively and potently inhibits the RNA-dependent RNA polymerase, it has been used for treatment of some life-threatening infections such as Ebola virus, Lassa virus and rabies. Its therapeutic efficacy has been proven in these diseases. Trial design This is a multi-center, two arm, open label, parallel group, randomized controlled trial. Participants Eligibility criteria: Inclusion criteria: 1. Adults 18 to 80 years, male or female. 2. After the first diagnosis and treatment of COVID-19, the nucleic acid test of respiratory specimens such as sputum or nasopharyngeal swabs, has been negative for two consecutive times (sampling time interval of at least 24 hours), in accordance with the COVID-19’s diagnosis and treatment Plan (7th Edition), discharged. 3. During screening visit (follow-up after discharge), The nucleic acid test of COVID-19 is positive in any one of the following samples: sputum, throat swabs, blood, feces or other specimens. Regardless of whether or not they had symptoms and the severity of symptoms. 4. Volunteer to participate in the research and sign the Informed Consent Form. Exclusion Criteria: 1. Allergic to Favipiravjr; 2. Pregnant or lactating women 3. Uncontrolled diseases of the blood and cardiovascular system, liver or kidney. 4. History of mental disorders, drug abuse or dependence; 5. Researchers consider it inappropriate for adults to participate; 6. Participating in other clinical studies. Loss to Follow up: Cases that do not complete the clinical trial program will be regarded as lost to follow up. Including the withdrawal of patients by themselves (such as poor compliance, etc.), or the withdrawal of patients ordered by the researcher (those who need other drugs which affect the judgment of the curative effect, and those who need to stop taking drugs for severe adverse events) Study setting: The participating hospitals are some of the designated hospitals that have been or may be admitting patients who meet the eligibility criteria, mainly in Hubei, Shenzhen, Anhui and Beijing. Participants will be recruited from these 15 hospitals: Wuhan Pulmonary Hospital, Hubei; Jinyintan Hospital of Wuhan, Hubei; Ezhou Central Hospital, Hubei; The Second People's Hospital of Fuyang, Anhui; The First Affiliated Hospital of USTC, Anhui; Beijing Youan Hospital, Beijing; Capital Medical University Beijing Institute of Hepatology, Beijing; Ezhou Hospital of Traditional Chinese Medicine, Hubei; Zhongnan Hospital of Wuhan University, Hubei; The Fifth Hospital of ShiJiazhuang, Hebei; Jinan Infectious Diseases Hospital, Shandong; Public Health Clinical Center of Chengdu, Sichuan; Wuxi No.5 People’s Hospital, Jiangsu; The Third People’s Hospital of Shenzhen, Guangdong; The First Affiliated Hospital of Bengfu Medical College, AnHui. Intervention and comparator Favipiravir group (experimental): Favipiravir 1600mg each dose, twice a day on the 1st day; 600mg each dose, twice a day from the 2nd to the 7th day, Oral administration, the maximum number of days taken will be no more than 14 days plus routine treatment for COVID-19. Regular treatment group (control): Treatments other than Antiviral drugs can be given. Routine treatment for patients with the corona virus will be administered, this includes oxygen therapy, drugs that reduced phlegm and relieve cough, including thymosin, proprietary Chinese medicine, etc. Main outcomes Primary Outcome Measures: Viral nucleic acid test negative [Time Frame: 5 months]: Subjects who tested negative for nucleic acid from sputum or nasopharyngeal swabs for two consecutive times (sampling time interval of at least 24 hours). Secondary Outcome Measures: Clinical cure [Time Frame: 5 months]: 1. Body temperature returned to normal for more than 3 days; 2. Lung image improved. 3. Clinical manifestation improved; 4. The viral nucleic acid test of respiratory specimens was negative for two consecutive times (sampling time interval of at least 24 hours). Randomization The central randomization system (Interactive Web Response Management System), will be used to randomly divide the subjects into the experimental group and the control group according to the ratio of 2:1. In this study, block randomization will be used, in blocks of 6. Blinding (masking) This is an open label trial. Trial participants, investigators, care givers, outcome assessors, and date analysts are not blinded to group assignment. Numbers to be randomised 210 patients are expected to be enrolled and allocated according to the ratio of 2 (Favipiravir group, n=140): 1(regular treatment group, n=70). Trial Status Protocol version number 3.0, 10th April 2020 First Patient, first visit 17th March 2020; recruitment end date anticipated June 1, 2020. Trial registration ClinicalTrials.gov, NCT04333589 , April 3, 2020. Registered April 3, 2020. Full protocol The full protocol is attached as an additional file, accessible from the Trials website (Additional file 1). In the interest in expediting dissemination of this material, the familiar formatting has been eliminated; this Letter serves as a summary of the key elements of the full protocol.</text>
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                <text>2020</text>
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                <text>Randomised controlled trial, protocol, favipiravir, COVID-19</text>
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                <text>DOI: 10.1186/s13063-020-04430-y</text>
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                <text>Trials</text>
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                <text>BMC</text>
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                <text>Medicine (General)</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Principles, Utility and Limitations of Pulse Oximetry in Management of COVID-19</text>
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                <text>Lok Raj Joshi</text>
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                <text>Pulse oximetry is an essential component of the standard care of COVID-19 patients. In the context of the spreading COVID-19 pandemic for which no targeted therapy or vaccines are yet available, early identification of the severe cases or cases with high risk of severe disease and appropriate supportive treatment are of paramount importance to save lives. Pulse oximetry is a cheap, fast, easy to use, noninvasive, painless and accurate tool that allows real-time monitoring of hypoxemia. As the primary target of the disease is the respiratory system pulse oximetry provides an unparalleled way to assess the severity of the disease, guide supportive therapies and monitor the clinical status and response to treatment with greater benefits in the low-resource settings. All settings from the quarantine facilities at the ground level to the ICUs in the highest level hospitals can utilize it to achieve their goals. To get the best of this tool, it needs to be used properly and the findings interpreted carefully. Role of basic understanding of the physiological principles and technology behind its use and awareness of its limitations cannot be overemphasized. The pulse oximetry readings are interpreted in the context of blood hemoglobin concentration, tissue perfusion, arterial blood carbon dioxide concentration and oxygen supplementation status.</text>
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                <text>2020</text>
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                <text>pulse oximetry, Nepal, Utility, limitations, COVID-19</text>
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                <text>DOI: 10.22502/jlmc.v8i1.356</text>
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                <text>Journal of Lumbini Medical College</text>
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                <text>Lumbini Medical College</text>
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                <text>Medicine (General)</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>A Review on Coronavirus Disease (COVID-19) and What is Known about it</text>
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                <text>Sara Taheri</text>
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            <description>An account of the resource</description>
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                <text>Pandemic of New Coronavirus 2019 is becoming a health crisis in the world. The various aspects of the virus are still unknown. This study aims to introduce general aspects of the virus. This study is a narrative review that reviews the available literatures on the internet. Articles published from January 1, 2020 to March 3, 2020 were searched using the keywords COVID-19 and New Coronavirus 2019. The search was mainly conducted through PubMed and Google Scholar, using the keywords COVID-19 and New Coronavirus 2019. We also used Regular Google's search engine to gather news and background information. Prevalence, control, and prevention aspects of the disease were reviewed and presented. The study showed that the ways of transmitting the Covid 19 virus are through respiratory droplets and direct contact with the virus-containing secretions. The causes of the overwhelming prevalence of this disease can be attributed to its high incubation period and its transmission in the asymptomatic, mild, or pre-emergent periods. The study also found symptoms of the virus in people with chronic diseases such as cardiovascular disease, diabetes, cancer, hypertension and chronic respiratory illnesses, and the risk of the virus increases with age and a definite cure has not been discovered yet. The results showed that the epidemic of the new virus will continue for three months and can be prevented by the methods of prevention and management of the factors influencing its transmission. Suggested ways to treat the disease are also being investigated. Currently, the only way to control Coronavirus 19 is to maintain personal hygiene, boost immunity system of body and avoid staying in crowded places.</text>
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                <text>2020</text>
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                <text>Epidemiology, Prevalence, Control and prevention, COVID-19, coronavirus 2019</text>
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                <text>DOI: </text>
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              <elementText elementTextId="34761">
                <text>Taṣvīr-i salāmat</text>
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                <text>Tabriz University of Medical Sciences</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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              <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>
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                <text>Towards reduction in bias in epidemic curves due to outcome misclassification through Bayesian analysis of time-series of laboratory test results: case study of COVID-19 in Alberta, Canada and Philadelphia, USA</text>
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              <elementText elementTextId="34765">
                <text>Igor Burstyn, Paul Gustafson, Neal D. Goldstein</text>
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                <text>Abstract Background Despite widespread use, the accuracy of the diagnostic test for SARS-CoV-2 infection is poorly understood. The aim of our work was to better quantify misclassification errors in identification of true cases of COVID-19 and to study the impact of these errors in epidemic curves using publicly available surveillance data from Alberta, Canada and Philadelphia, USA. Methods We examined time-series data of laboratory tests for SARS-CoV-2 viral infection, the causal agent for COVID-19, to try to explore, using a Bayesian approach, the sensitivity and specificity of the diagnostic test. Results Our analysis revealed that the data were compatible with near-perfect specificity, but it was challenging to gain information about sensitivity. We applied these insights to uncertainty/bias analysis of epidemic curves under the assumptions of both improving and degrading sensitivity. If the sensitivity improved from 60 to 95%, the adjusted epidemic curves likely falls within the 95% confidence intervals of the observed counts. However, bias in the shape and peak of the epidemic curves can be pronounced, if sensitivity either degrades or remains poor in the 60–70% range. In the extreme scenario, hundreds of undiagnosed cases, even among the tested, are possible, potentially leading to further unchecked contagion should these cases not self-isolate. Conclusion The best way to better understand bias in the epidemic curves of COVID-19 due to errors in testing is to empirically evaluate misclassification of diagnosis in clinical settings and apply this knowledge to adjustment of epidemic curves.</text>
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                <text>2020</text>
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                <text>uncertainty, Simulation, Sensitivity, epidemic, under-diagnosis, Bias analysis</text>
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                <text>DOI: 10.1186/s12874-020-01037-4</text>
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                <text>BMC Medical Research Methodology</text>
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                <text>Medicine (General)</text>
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            <element elementId="50">
              <name>Title</name>
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                  <text>Coronavirus</text>
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              </elementTextContainer>
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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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                <text>How Are We Facing It? Dispatches From Pathology Residents in a COVID-19 Lombardy Hospital</text>
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              <elementText elementTextId="34774">
                <text>Piergiuseppe Colombo, Massimo Roncalli, Miriam Cieri, Cesare Lancellotti, Camilla De Carlo, Marina Valeri, Vincenzo Belsito</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="34775">
                <text>At the end of February, the Italian National Health Service reported a hot spot of Coronavirus disease in the Lombardy region. COVID-19 is a highly pathogenic viral infection which poses some challenges for healthcare workers. Indeed, Pathology Departments are involved in reorganizing samples' management, from their delivery until their processing, according to National and WHO guidelines. Since Lombardy has been declared COVID-19 hot spot, due to decreasing number of surgical procedures, our Department adopted a policy to reduce personnel, allowing pathologists to work remotely during the outbreak. Lacking clear information about viral load on tissue samples, all human specimens must be considered potentially infectious, as well as patients during post-mortem examinations, and clinical information on COVID-19 status is mandatory. It is also important that Pathology staff receive an adequate training, and adherence to rules should be always accompanied by common sense.</text>
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            <name>Date</name>
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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>Autopsy, pathology, healthcare worker, resident, Smart Work, COVID-19</text>
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            <name>Identifier</name>
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                <text>DOI: 10.3389/fpubh.2020.00259</text>
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            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="34779">
                <text>Frontiers in Public Health</text>
              </elementText>
            </elementTextContainer>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="34780">
                <text>Frontiers Media S.A.</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="34781">
                <text>Public aspects of medicine</text>
              </elementText>
            </elementTextContainer>
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  <item itemId="3784" public="1" featured="0">
    <fileContainer>
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        <src>https://www.socictopen.socict.org/files/original/a0d9d0ac912996aeb6e6442e2e6b2790.pdf</src>
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          <name>Dublin Core</name>
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          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                <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>
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              <elementText elementTextId="34782">
                <text>Changes in Gambling Behavior during the COVID-19 Pandemic—A Web Survey Study in Sweden</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="34783">
                <text>Anders Hakansson</text>
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            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="34784">
                <text>The COVID-19 pandemic has dramatically changed everyday life, and policy makers have raised concerns about possible changes in gambling patterns during the pandemic. This study aimed to examine whether self-reported gambling has increased during the pandemic, and to examine potential correlates of such a change. This general population survey study in Sweden collected self-report data from 2016 web survey members (51 percent men, nine percent moderate-risk/problem gamblers). Correlates of increased gambling and increased gambling specifically due to COVID-19-related cancellation of sports were calculated. Four percent reported an overall gambling increase during the pandemic. The proportion of individuals reporting an increase, compared to individuals reporting a decrease, was markedly higher for online casinos (0.62), online horse betting (0.76) and online lotteries (0.73), and lower for sports betting (0.11). Overall, gambling increases were independently associated with gambling problems and increased alcohol consumption. In the sub-group, where there was an increase in specific gambling types in response to cancelled sports betting events, rates of gambling problems were high. In conclusion, only a minority report increased gambling in response to the pandemic, but this group has markedly higher gambling problems and changes in alcohol consumption, and may represent a sub-group with a particularly high vulnerability. This calls for preventive action in people with higher gambling risks in response to the pandemic.</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="34785">
                <text>2020</text>
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            </elementTextContainer>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="34786">
                <text>crisis, problem gambling, gambling disorder, Pandemic, behavioral addiction, COVID-19</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="34787">
                <text>DOI: 10.3390/ijerph17114013</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="34788">
                <text>International Journal of Environmental Research and Public Health</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="34789">
                <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>
            <elementTextContainer>
              <elementText elementTextId="34790">
                <text>Medicine</text>
              </elementText>
            </elementTextContainer>
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        <src>https://www.socictopen.socict.org/files/original/c2863f5cdb4e032acacef48030d6e42d.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>
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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>
          </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="34791">
                <text>Risk Factors Associated With Long-Term Hospitalization in Patients With COVID-19: A Single-Centered, Retrospective Study</text>
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          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="34792">
                <text>Ping Zhong, Yingying Chen, Bing-Bo Hou, Yiqun Wu, Jielan Liu</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="34793">
                <text>Background: The coronavirus disease 19 (COVID-19) pandemic has become a global threat. Few studies have explored the risk factors for the recovery time of patients with COVID-19. This study aimed to explore risk factors associated with long-term hospitalization in patients with COVID-19.Methods: In this retrospective study, patients with laboratory-confirmed COVID-19 hospitalized in a hospital in Wuhan by March 30, 2020, were included. Demographic, clinical, laboratory, and radiological data from COVID-19 patients on hospital admission were extracted and were compared between the two groups, defined as short- and long-term hospitalization, respectively according to the median hospitalization time. Univariable and multivariable logistic regression methods were performed to identify risk factors associated with long-term hospitalization in patients with COVID-19.Results: A total of 125 discharged patients with COVID-19 were reviewed, including 123 general patients and two severe patients. The median hospitalization time was 13.0 days (IQR 10.0–17.0). Among them, 66 patients were discharged &amp;lt;14 days (short-term group) and 59 patients were discharged ≥14 days (long-term group). Compared with the short-term group, patients in the long-term group had significantly higher levels of C-reactive protein (P = 0.000), troponin I (P = 0.002), myoglobin (P = 0.037), aspartate aminotransferase (P = 0.005), lactic dehydrogenase (P = 0.000), prothrombin time (P = 0.030), fibrinogen (P = 0.000), and D-dimer (P = 0.006), but had significantly lower levels of lymphocyte count (P = 0.001), platelet count (P = 0.017), albumin (P = 0.001), and calcium (P = 0.000). Additionally, the incidences of hypocalcemia (P = 0.001), hyponatremia (P = 0.021), hypochloremia (P = 0.019), and bilateral pneumonia (P = 0.000) in the long-term group were significantly higher than those in the short-term group. Multivariable regression showed that hypocalcemia (P = 0.007, OR 3.313, 95% CI 1.392–7.886), hypochloremia (P = 0.029, OR 2.663, 95% CI 1.104–6.621), and bilateral pneumonia (P = 0.009, OR 5.907, 95% CI 1.073–32.521) were independent risk factors associated with long-term hospitalization in patients with COVID-19. Furthermore, a ROC curve where the area under the ROC was 0.766 for retained variables is presented.Conclusions: Hypocalcemia, hypochloremia, and bilateral pneumonia on hospital admission were independent risk factors associated with long-term hospitalization in patients with COVID-19. To the best of our knowledge, this is the first study to highlight the importance of electrolyte imbalance in predicting the hospitalization time of patients with COVID-19.</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="34794">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="34795">
                <text>Prognosis, electrolyte imbalance, recovery time, SARS-CoV-2, corona virus disease 2019</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="34796">
                <text>DOI: 10.3389/fmed.2020.00315</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="34797">
                <text>Frontiers in Medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="34798">
                <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="34799">
                <text>Medicine (General)</text>
              </elementText>
            </elementTextContainer>
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  <item itemId="3786" public="1" featured="0">
    <fileContainer>
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        <src>https://www.socictopen.socict.org/files/original/643a7fd532acb80bb04bc3abceeee7c0.pdf</src>
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          <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>
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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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    <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="34800">
                <text>Hyperlocal Postcode Based Crowdsourced Surveillance Systems in the COVID-19 Pandemic Response</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="34801">
                <text>Ajay Hegde, Darshan Krishnappa, Ramesh Masthi</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="34802">
                <text>The SARS-CoV-2 pandemic has rapidly saturated healthcare resources across the globe and has led to a restricted screening process, hindering efforts at comprehensive case detection. This has not only facilitated community spread but has also resulted in an underestimation of the true incidence of disease, a statistic which is useful for policy making aimed at controlling the current pandemic and in preparing for future outbreaks. In this perspective, we present a crowdsourced platform developed by us for the true estimation of all SARS-CoV-2 infections in the community, through active self-reporting and layering other authentic datasets. The granularity of data captured by this system could prove to be useful in assisting governments to identify SARS-CoV-2 hotspots in the community facilitating lifting of restrictions in a controlled fashion.</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="34803">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="34804">
                <text>Surveillance, digital health, Crowdsource, pandemic response, COVID-19, post code map</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="34805">
                <text>DOI: 10.3389/fpubh.2020.00286</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="34806">
                <text>Frontiers in Public Health</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="34807">
                <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="34808">
                <text>Public aspects of medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
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  <item itemId="3787" public="1" featured="0">
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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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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>A Comparison of Infection Venues of COVID-19 Case Clusters in Northeast China</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Nan ZHANG, Pengcheng Zhao, Yuguo Li</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>The world has been suffering from the COVID-19 pandemic since late 2019. In this study, we compared various types of infection locations in which COVID-19 cases clustered, based on the data from three adjacent provinces in Northeast China. The collected data include all officially reported cases in this area until 8 March 2020. We explored the associations between the cases and the frequency of infection locations. The COVID-19 epidemic situation was worse in Heilongjiang Province than in Liaoning and Jilin Provinces. Most clustered cases occurred in individual families and/or between relatives. The transmission in public venues served as a hub for transmitting the disease to other families and results in new clusters. The public transport spread the infection over long distances by transporting infected individuals, and most infections did not seem to occur within vehicles. This field study shows the effect of indoor environments on SARS-CoV-2 transmission and our data may be useful in developing guidance for future disease prevention and control.</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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              <elementText elementTextId="34812">
                <text>2020</text>
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            </elementTextContainer>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="34813">
                <text>Case Report, Northeast China, cluster, COVID-19, infection location</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="34814">
                <text>DOI: 10.3390/ijerph17113955</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="34815">
                <text>International Journal of Environmental Research and Public Health</text>
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          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="34816">
                <text>MDPI AG</text>
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            </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="34817">
                <text>Medicine</text>
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            </elementTextContainer>
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        <src>https://www.socictopen.socict.org/files/original/87480b21209dd3c1d88b8a0f695c7908.pdf</src>
        <authentication>e94ae8ce45ca6bb043bf6f172d67207b</authentication>
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          <name>Dublin Core</name>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              </elementTextContainer>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
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                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
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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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      <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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                <text>Air transportation, population density and temperature predict the spread of COVID-19 in Brazil</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="34819">
                <text>Reinaldo Barbosa, William Magnusson, Fabricio Baccaro, Clarissa Rosa, Pedro Pequeno, Bruna Mendel, Mariane Bosholn, Jorge Luiz Souza</text>
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            </elementTextContainer>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>There is evidence that COVID-19, the disease caused by the betacoronavirus SARS-CoV-2, is sensitive to environmental conditions. However, such conditions often correlate with demographic and socioeconomic factors at larger spatial extents, which could confound this inference. We evaluated the effect of meteorological conditions (temperature, solar radiation, air humidity and precipitation) on 292 daily records of cumulative number of confirmed COVID-19 cases across the 27 Brazilian capital cities during the 1st month of the outbreak, while controlling for an indicator of the number of tests, the number of arriving flights, population density, proportion of elderly people and average income. Apart from increasing with time, the number of confirmed cases was mainly related to the number of arriving flights and population density, increasing with both factors. However, after accounting for these effects, the disease was shown to be temperature sensitive: there were more cases in colder cities and days, and cases accumulated faster at lower temperatures. Our best estimate indicates that a 1 °C increase in temperature has been associated with a decrease in confirmed cases of 8%. The quality of the data and unknowns limit the analysis, but the study reveals an urgent need to understand more about the environmental sensitivity of the disease to predict demands on health services in different regions and seasons.</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>
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              <elementText elementTextId="34821">
                <text>2020</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="34822">
                <text>Health, climate, coronavirus, Pandemic</text>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="34823">
                <text>DOI: 10.7717/peerj.9322</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="34824">
                <text>PeerJ</text>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="34825">
                <text>PeerJ Inc.</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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              <elementText elementTextId="34826">
                <text>Medicine</text>
              </elementText>
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