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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Discerning undifferentiated anxiety from syndromal anxiety in acute-phase schizophrenia</text>
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              <elementText elementTextId="16429">
                <text>Kalai Naidu, Werdie van Staden, Lizelle Fletcher</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Abstract Background Literature on anxiety in schizophrenia is confined to well-established diagnostic syndromes and the diagnostic category of unspecified anxiety disorder has not been quantitatively verified in this population. This study examined whether anxiety that is not differentiated into the well-established syndromes is empirically discernible from syndromal anxiety and no anxiety in acute-phase schizophrenia. Methods After sampling 111 acute-phase schizophrenia patients, they were stratified into three groups: syndromal anxiety; undifferentiated anxiety; and without anxiety disorder. The groups were compared statistically in two data sets on measures for anxiety, psychotic severity, depressive features, akathisia and medication use. Results On two measures of anxiety and for both data sets, the groups were significantly different without evidence of a confounding influence by akathisia, medication, or psychotic severity. The undifferentiated group was different from the syndromal group on the Staden Schizophrenia Anxiety Rating Scale (S-SARS) for both data sets (mean difference = 7.46, p </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="16431">
                <text>2020</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="16432">
                <text>Schizophrenia, symptoms, Anxiety disorders, classification, diagnosis</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="16433">
                <text>DOI: 10.1186/s12991-020-00277-4</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="16434">
                <text>Annals of General Psychiatry</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="16435">
                <text>BMC</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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              <elementText elementTextId="16436">
                <text>Psychiatry</text>
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            <description>A language of the resource</description>
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                <text>EN</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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        <name>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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              <elementText elementTextId="53471">
                <text>Information Seeking on Covid-19 Pandemic: Care Providers&amp;rsquo; Experience at the University of Gondar Teaching Hospital, Northwest of Ethiopia</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="53472">
                <text>Kalayou MH, Tilahun B, Endehabtu BF, Nurhussien F, Melese T, Guadie HA</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Mulugeta Hayelom Kalayou,1 Binyam Tilahun,1 Berhanu Fikadie Endehabtu,1 Fedlu Nurhussien,2 Tesfahun Melese,1 Habtamu Alganeh Guadie1 1Department of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia; 2Computer Science Department, University of Gondar, Gondar, EthiopiaCorrespondence: Mulugeta Hayelom KalayouDepartment of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, EthiopiaTel +251 919047069Email Mhayelom5@gmail.comBackground: During the pandemic, information is inevitable and important, and having knowledge on pertinent information is very crucial for health-care professionals in order to deliver sustainable and quality health services to their clients, and to combat the virus. Therefore, the aim of this study was to assess the health-care providers&amp;rsquo; information seeking behavior on COVID-19 pandemic.Methods: A descriptive cross-sectional study had conducted among 291 respondents. The participant&amp;rsquo;s characteristics were presented using frequency and percentage. The association between the independent and dependent variables was explained using chi-squared test.Results: Out of the 291 respondents, 207 (71.1%) of them had sought information on COVID-19 pandemic. The association between the gender and educational status with the outcome variable was found insignificant. Age (&amp;chi;2=10.6, P=0.011), respondent&amp;rsquo;s working unit (&amp;chi;2=33.7, P&amp;lt; 0.001), profession (&amp;chi;2=12.7, P=0.013), taking computer training (&amp;chi;2=17.44, P=0.000), computer access at work place (&amp;chi;2=7.28, P=0.007), internet access at work place (&amp;chi;2=22.2, P&amp;lt; 0.001), and frequency of internet use (&amp;chi;2=17.63, P&amp;lt; 0.001) were found significant with COVID-19 information seeking.Conclusion: Information seeking behavior was positively associated with computer access, computer training, internet access and frequency of use. Therefore, comprehensive package is required to build the capacity of care providers on computer-related skills. Besides, institutions need to have internet and computer access.Keywords: information seeking, COVID-19, pandemic, Ethiopia</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="53474">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="53475">
                <text>covid-19, Ethiopia, Pandemic, Information seeking</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="53476">
                <text>Biotemas</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="53477">
                <text>Universidade Federal de Santa Catarina</text>
              </elementText>
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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>
              <description>A name given to the resource</description>
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                  <text>Agricultura sostenible</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                <elementText elementTextId="88122">
                  <text>Dominio científico: Agricultura sostenible</text>
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            </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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        <name>Dublin Core</name>
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            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="150023">
                <text>Mudanças na estrutura fundiária do Sertão paraibano e suas implicações para a consolidação da agricultura familiar</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="150024">
                <text>Kaliane de Freitas Maia, Ramonildes Alves Gomes</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="150025">
                <text>O objetivo do presente artigo é analisar as conexões entre as mudanças da estrutura fundiária do Sertão semiárido e a presença da pequena propriedade, em particular aquela vinculada à agricultura familiar. O diálogo com a produção bibliográfica sobre o Nordeste nos desafiou a problematizar as dinâmicas que levaram à fragmentação da grande propriedade na região citada. A partir de um esforço de pesquisa quali-quantitativo, realizamos um trabalho empírico na região do Sertão Paraibano, especificamente na Microrregião da Serra do Teixeira, com base em duas questões: (1) quais elementos possibilitaram a constituição da imagem do Sertão nordestino como espaço do latifúndio e da grande propriedade? (2) quais ideias fundamentaram as representações da origem da agricultura familiar no Sertão Paraibano? Nossa pretensão é, a partir de evidências empíricas ainda não problematizadas sobre o Nordeste, construir  hipóteses orientadoras de interpretações sobre a constituição dos grupos sociais e dos espaços rurais do Sertão Nordestino, particularmente em referência à consolidação da agricultura familiar na espacialidade focalizada.</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="150026">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="150027">
                <text>Agricultura Familiar, Estrutura Fundiária, sertão nordestino</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="150028">
                <text>10.36920/esa-v28n2-1</text>
              </elementText>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="150029">
                <text>Estudos Sociedade e Agricultura</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="150030">
                <text>Universidade Federal Rural do Rio de Janeiro</text>
              </elementText>
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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>Agriculture (General), Agricultural industries, Land use</text>
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            <description>A related resource</description>
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                <text>&lt;a href="https://revistaesa.com/ojs/index.php/esa/article/view/esa28-2_01_mudancas" target="_blank" rel="noreferrer noopener"&gt;https://revistaesa.com/ojs/index.php/esa/article/view/esa28-2_01_mudancas&lt;/a&gt;</text>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="50107">
                <text>An Analysis of Correlation and Forecast of CZK to EUR in the Unstable Global World</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="50108">
                <text>Kalinová Eva, Rowland Zuzana</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Research background: In the Czech Republic, the CZK/EUR currency pair is the most observed one not only by Czech consumers but also by Czech and foreign companies. Not only the political situation in the world and the foreign investors but also other variables have a significant influence on the CZK. Purpose of the article: The aim of this paper is to analyse the development of the CZK/EUR exchange rate, to perform a correlation analysis of the CZK/EUR currency pair and to forecast its future development in today’s unstable global world affected by the Coronavirus pandemics. Methods: In order to fulfil the aim of the paper, the data of the CZK/EUR currency pair from the beginning of the year 1999 to mid-June 2020 was used. The correlation analysis and the forecast of the future development of the exchange rate are performed by means of the, in today’s globalized world very promising, technology of artificial neural networks. Findings &amp; Value added: The analysis and the forecast of the exchange rate development is based on the time series model taking the previous value of the exchange rate and its previous volatility into consideration. The strongest propulsion power for the development of the CZK/EUR exchange rate will be the market atmosphere on the world’s markets and the associated capital transfer between risk assets and safe havens. Provided, that the current situation settled down definitively and the economy returned back to its normal state, it is probable that the Czech koruna would gain some part of its significant loss back within a medium-term period.</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>2021</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="50111">
                <text>Artificial Neural Networks, Volatility, exchange rate, future development forecast</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="50112">
                <text>10.1051/shsconf/20219209007</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="50113">
                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="50114">
                <text>Korean Society of Epidemiology</text>
              </elementText>
            </elementTextContainer>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Social Sciences</text>
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                <text>Data in the time of COVID-19: a general methodology to select and secure a NoSQL DBMS for medical data</text>
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            <name>Creator</name>
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                <text>Kamal A. ElDahshan, AbdAllah A. AlHabshy, Gaber E. Abutaleb</text>
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                <text>Background As the COVID-19 crisis endures and the virus continues to spread globally, the need for collecting epidemiological data and patient information also grows exponentially. The race against the clock to find a cure and a vaccine to the disease means researchers require storage of increasingly large and diverse types of information; for doctors following patients, recording symptoms and reactions to treatments, the need for storage flexibility is only surpassed by the necessity of storage security. The volume, variety, and variability of COVID-19 patient data requires storage in NoSQL database management systems (DBMSs). But with a multitude of existing NoSQL DBMSs, there is no straightforward way for institutions to select the most appropriate. And more importantly, they suffer from security flaws that would render them inappropriate for the storage of confidential patient data. Motivation This paper develops an innovative solution to remedy the aforementioned shortcomings. COVID-19 patients, as well as medical professionals, could be subjected to privacy-related risks, from abuse of their data to community bullying regarding their medical condition. Thus, in addition to being appropriately stored and analyzed, their data must imperatively be highly protected against misuse. Methods This paper begins by explaining the five most popular categories of NoSQL databases. It also introduces the most popular NoSQL DBMS types related to each one of them. Moreover, this paper presents a comparative study of the different types of NoSQL DBMS, according to their strengths and weaknesses. This paper then introduces an algorithm that would assist hospitals, and medical and scientific authorities to choose the most appropriate type for storing patients’ information. This paper subsequently presents a set of functions, based on web services, offering a set of endpoints that include authentication, authorization, auditing, and encryption of information. These functions are powerful and effective, making them appropriate to store all the sensitive data related to patients. Results and Contributions This paper presents an algorithm to select the most convenient NoSQL DBMS for COVID-19 patients, medical staff, and organizations data. In addition, the paper proposes innovative security solutions that eliminate the barriers to utilizing NoSQL DBMSs to store patients’ data. The proposed solutions resolve several security problems including authentication, authorization, auditing, and encryption. After implementing these security solutions, the use of NoSQL DBMSs will become a much more appropriate, safer, and affordable solution to storing and analyzing patients’ data, which would contribute greatly to the medical and research effort against COVID-19. This solution can be implemented for all types of NoSQL DBMSs; implementing it would result in highly securing patients’ data, and protecting them from any downsides related to data leakage.</text>
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                <text>2020</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="71429">
                <text>NoSQL databases, data base security, Key-value stores NoSQL systems, Document-based stores NoSQL systems, Column-based stores NoSQL systems, Graph stores NoSQL systems</text>
              </elementText>
            </elementTextContainer>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="71430">
                <text>10.7717/peerj-cs.297</text>
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                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Korean Society of Epidemiology</text>
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                <text>Electronic computers. Computer science</text>
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                <text>COVID-19 in the UK- Experience from The Frontline</text>
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                <text>Kamal Aryal</text>
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                <text>Start of the pandemic At the end of February, I was undertaking a mini fellowship on Trans-anal Total Meso-rectal Excision (TaTME) in Switzerland. The number of cases infected with corona virus disease (COVID-19) and deaths were rising exponentially in Italy. As the virus hit the UK, I was still able to complete ‘Non-Technical Skills for Surgeons (NOTSS) for trainees’ course at the deanery office at Fulbourn, Cambridge on the 13th of March 2020.  Effect on personal life - self isolation I had operating list on the 17th of March where an 81-year-old male having laparoscopic right hemicolectomy for cancer was listed. This patient was readmitted a week after being discharged from the hospital with collapse and it had become apparent that he acquired COVID-19 in the surgical ward. Fortunately, he recovered from this and remains well till date. The same day, my son had fever with some cough. I needed to self- isolate according to UK government guideline for two weeks as there was no facility for testing whether my son had contracted coronavirus or not. There were a lot of problems in getting food from the supermarket on the way back home as the shelves were empty, online food order was impossible but somehow, we managed with our friends delivering food for us at our front door.</text>
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                <text>Frontline, COVID-19</text>
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                <text>DOI: 10.22502/jlmc.v8i1.372</text>
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                <text>Journal of Lumbini Medical College</text>
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            <description>An entity responsible for making the resource available</description>
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                <text>Lumbini Medical College</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Medicine (General)</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>On a new conceptual mathematical model dealing the current novel coronavirus-19 infectious disease.</text>
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            <name>Creator</name>
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              <elementText elementTextId="41508">
                <text>Kamal Shah, Anwarud Din, Dumitru Baleanu, Aly Seadawy, Hussam Alrabaiah</text>
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                <text>The present paper describes a three compartment mathematical model to study the transmission of the current infection due to the novel coronavirus (2019-nCoV or COVID-19). We investigate the aforesaid dynamical model by using Atangana, Baleanu and Caputo (ABC) derivative with arbitrary order. We derive some existence results together with stability of Hyers-Ulam type. Further for numerical simulations, we use Adams-Bashforth (AB) method with fractional differentiation. The mentioned method is a powerful tool to investigate nonlinear problems for their respective simulation. Some discussion and future remarks are also given.</text>
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                <text>numerical simulations, qualitative results, Three compartments model, Adams–Bashforth (AB) method</text>
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                <text>10.1016/j.rinp.2020.103510</text>
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                <text>Results in physics</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Study of global dynamics of COVID-19 via a new mathematical model.</text>
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                <text>Kamal Shah, Rahim ud Din, Aman Ullah, Dumitru Baleanu, Aly R Seadawy</text>
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                <text>The theme of this paper focuses on the mathematical modeling and transmission mechanism of the new Coronavirus shortly noted as (COVID-19), endangering the lives of people and causing a great menace to the world recently. We used a new type epidemic model composed on four compartments that is susceptible, exposed, infected and recovered (SEIR), which describes the dynamics of COVID-19 under convex incidence rate. We simulate the results by using nonstandard finite difference method (NSFDS) which is a powerful numerical tool. We describe the new model on some random data and then by the available data of a particular regions of Subcontinents.</text>
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                <text>Mathematical modeling, covid-19, basic reproduction number, stability, disease-free equilibrium, convex incidence rate</text>
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                <text>10.1016/j.rinp.2020.103468</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Severe Acute Respiratory Syndrome Coronavirus 2 Transmission Potential, Iran, 2020</text>
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              <elementText elementTextId="46460">
                <text>Kamalich Muniz-Rodriguez, Isaac Chun-Hai Fung, Shayesteh R. Ferdosi, Sylvia K. Ofori, Yiseul Lee, Amna Tariq, Gerardo Chowell</text>
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                <text>To determine the transmission potential of severe acute respiratory syndrome coronavirus 2 in Iran in 2020, we estimated the reproduction number as 4.4 (95% CI 3.9–4.9) by using a generalized growth model and 3.5 (95% CI 1.3–8.1) by using epidemic doubling time. The reproduction number decreased to 1.55 after social distancing interventions were implemented.</text>
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                <text>Emerging Infectious Diseases</text>
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                <text>DOI: 10.3201/eid0910.030388</text>
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