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              <name>Title</name>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Statistical analysis and characteristics of hospital medical waste under novel Coronavirus outbreak</text>
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                <text>H.A. Abu-Qdais, M.A. Al-Ghazo, E.M. Al-Ghazo</text>
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                <text>One of thesources of infection as a result of coronavirus disease treatment is the medical waste generated during the health care activities. Since the registration of the first infected case of coronavirus in Jordan the daily number of patients fluctuated from as low as zero to as high as 40 with a recovery ratio and case fatality risk of 39% and 1.7%, respectively. The main objective of the present study is to carry out statistical analysis and assess the generation rates and the composition of the medical waste generated during the treatment of coronavirus pandemic with reference to a major tertiary care hospital in Jordan. Data onthe daily generated waste, number of the admitted patients and on the amounts of consumables like various personal protective equipment, testing kits, and disinfectant used during the treatment of coronavirus disease was obtained. Data was subjected to descriptive statistical analysis to find the average generation rates, 3 days moving average, as well as the frequency distribution of the generated amounts. During 25 days' period, King Abdullah University Hospital has admitted 95 infected patients by coronavirus. The amount of the average rate of the medical waste generated as a result of coronavirus treatment was found to be 14.16 kg/patient/day and 3.95 kg/bed/day, which are more than tenfold higher than the average generation rate during the regular operational days of the hospital. Frequency analysis of the data revealed that the medical waste generation follows log normal distribution with correlation coefficient of 0.89.  The distribution is distorted to the right and flatter than the normal distribution curve as judged by the skewness and kurtosis coefficients, respectively, which indicates deviation from normality.</text>
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                <text>2020</text>
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                <text>Jordan, Descriptive Statistics, Medical waste, coronavirus covid-19, average generation rate, king abdullah university hospital (kauh)</text>
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                <text>DOI: 10.22034/GJESM.2019.06.SI.03</text>
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                <text>Global Journal of Environmental Science and Management</text>
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                <text>Global Journal of Environmental Science and Management</text>
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                <text>Environmental sciences</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>The COVID-19 global challenge and its implications for the environment – what we are learning</text>
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                <text>Francesco Aletta, Daniel Osborn</text>
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                <text>DOI: 10.14324/111.444/ucloe.000008</text>
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                <text>UCL Open Environment</text>
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                <text>UCL Press</text>
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                <text>Environmental sciences, Environmental technology. Sanitary engineering</text>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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            <description>A name given to the resource</description>
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                <text>Statistical and Network-Based Analysis of Italian COVID-19 Data: Communities Detection and Temporal Evolution</text>
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                <text>Mario Cannataro, Marianna Milano</text>
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            <description>An account of the resource</description>
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                <text>The coronavirus disease (COVID-19) outbreak started in Wuhan, China, and it has rapidly spread across the world. Italy is one of the European countries most affected by COVID-19, and it has registered high COVID-19 death rates and the death toll. In this article, we analyzed different Italian COVID-19 data at the regional level for the period 24 February to 29 March 2020. The analysis pipeline includes the following steps. After individuating groups of similar or dissimilar regions with respect to the ten types of available COVID-19 data using statistical test, we built several similarity matrices. Then, we mapped those similarity matrices into networks where nodes represent Italian regions and edges represent similarity relationships (edge length is inversely proportional to similarity). Then, network-based analysis was performed mainly discovering communities of regions that show similar behavior. In particular, network-based analysis was performed by running several community detection algorithms on those networks and by underlying communities of regions that show similar behavior. The network-based analysis of Italian COVID-19 data is able to elegantly show how regions form communities, i.e., how they join and leave them, along time and how community consistency changes along time and with respect to the different available data.</text>
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                <text>2020</text>
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                <text>network analysis, community detection, COVID-19</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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                <text>DOI: 10.3390/ijerph17124182</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="35114">
                <text>International Journal of Environmental Research and Public Health</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>MDPI AG</text>
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                <text>Medicine</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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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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            <name>Title</name>
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                <text>The spatial and temporal pattern of COVID-19 and its effect on humans’ development in China</text>
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                <text>S. Liu, X. Xie, Q. Yi, E. Naminse</text>
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                <text>The coronavirus disease 2019 (COVID-19) has been identified as the main cause of the outbreak of the respiratory disease in Wuhan, Hubei Province of China in December 2019. Since then, the epidemic has spread rapidly throughout China and many other countries in the world. This study, therefore, examines the spatiotemporal distribution of the confirmed cases of COVID-19 and its effect on human development in China, and suggested social and non-pharmaceutical preventive interventions to help curb the further spread of the disease. The public open data available from January to February 2020, from the National Health Commission of the People’s Republic of China and a medical knowledge sharing website were used, and spatial analysis was performed to visualize the spatial distribution pattern of COVID-19 in China. The results showed among others that COVID-19 had entered a dispersed spatial pattern, resulting in increased pressure to control the spread of the disease. In early March, there was a significant reduction in the existing number of cases, and the number of deaths also decreased. At the provincial level, the spatial distribution of the number of cumulative confirmed cases in China was divided into four patterns: Hubei was the initial core region; the eastern provinces adjacent to Hubei formed the second concentrated pattern; the western provinces adjacent to Hubei and the northeastern and southeastern provinces which were separated from Hubei by one province belonged to the third distribution pattern; while the rest of the provinces in the north, south and west showing sporadic distribution patterns formed the fourth. It has been estimated that about 80% of students’ online learning at all schools were not effective due to lack of access to reliable and uninterrupted internet services especially in the rural areas of China.</text>
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                <text>2020</text>
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                <text>China, Human development, Spatial analysis, Wuhan, spatio-temporal pattern, coronavirus disease (covid-2019)</text>
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                <text>DOI: 10.22034/GJESM.2019.06.SI.10</text>
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              <elementText elementTextId="35105">
                <text>Global Journal of Environmental Science and Management</text>
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                <text>Global Journal of Environmental Science and Management</text>
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                <text>Environmental sciences</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>A Guide for Oncologic Patient Management during Covid-19 Pandemic: The Initial Experience of an Italian Oncologic Hub with Exemplificative Focus on Uro-Oncologic Patients</text>
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                <text>Matteo Ferro, Ottavio De Cobelli, Gennaro Musi, Fabrizio Mastrilli, Stefano Luzzago, Francesco  A. Mistretta, Luigi  Orlando Molendini, Enza Dossena</text>
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                <text>The recent exponential increase in the number of COVID-19 patients in Italy led to the adoption of specific extraordinary measures, such as the need to convey treatment of all non-deferrable cancer patients to specialized centres (hubs). We reported a comprehensive summary of guidelines to create and run an oncologic hub during the COVID-19 pandemic. Oncologic hubs must fulfil some specific requirements such as a high experience in oncologic patient treatment, strict strategies applied to remain a “COVID-19-free” centre, and the creation of a dedicated multidisciplinary “hub team”. Cancer treatment of patients who belong to external centres, namely spoke centres, could be organized in different pathways according to the grade of involvement and/or availability of the medical team of the spoke centre. Moreover, dedicated areas should be created for the management and treatment of patients who developed COVID-19 symptoms after hospitalization (i.e., dedicated wards, operation rooms and intensive care beds). Lastly, hospital staff must be highly trained for both preventing COVID-19 contagion and treating patients who develop the infection. We provided a simplified, but complete and easily applicable guide. We believe that this guide could help those clinicians who have to treat oncologic patients during the COVID-19 pandemic.</text>
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                <text>2020</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Surgical Oncology, Medical oncology, Oncology Service, SARS-CoV-2, COVID-19</text>
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            </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="35095">
                <text>DOI: 10.3390/cancers12061513</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Cancers</text>
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            </elementTextContainer>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>MDPI AG</text>
              </elementText>
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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>Neoplasms. Tumors. Oncology. Including cancer and carcinogens</text>
              </elementText>
            </elementTextContainer>
          </element>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="35081">
                <text>Prejudice Toward Asian Americans in the Covid-19 Pandemic: The Effects of Social Media Use in the United States</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="35082">
                <text>Thao Nguyen, Stephen M. Croucher, Diyako Rahmani</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>The ongoing Covid-19 outbreak has brought increased incidents of racism, discrimination, and violence against “Asians,” particularly in the United States, with reports of hate crimes of over 100 per day. Since January 2020, many Asian Americans have reported suffering racial slurs, wrongful workplace termination, being spat on, physical violence, extreme physical distancing, etc., as media and government officials increasingly stigmatize and blame Asians for the spread of Covid-19. The links with social media are increasingly evident, as anti-Asian sentiment increases, with reports of anti-Asian sentiment spreading and Asian-Americans fighting hate via social media. Using integrated threat theory, this study explores the links between prejudice/hate toward Asians-Americans, in particular Chinese, and social media use. Three key results emerged from the study. First, the more a social media user believes their most used daily social media is fair, accurate, presents the facts, and is concerned about the public (social media believe), the more likely that user is to believe Chinese pose a realistic and symbolic threat to America. Second, men and women significantly differed on each type of prejudice, with men scoring higher on intergroup anxiety and women higher on symbolic and realistic threat. Third, respondents who do not use social media on a daily basis are less likely than those who use Facebook to perceive Chinese as a symbolic threat. Implications and recommendations for practitioners, health workers and government are proposed.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>2020</text>
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            </elementTextContainer>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>social media, regression, Prejudice, intergroup anxiety, integrated threat theory</text>
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            </elementTextContainer>
          </element>
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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="35086">
                <text>DOI: 10.3389/fcomm.2020.00039</text>
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            </elementTextContainer>
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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="35087">
                <text>Frontiers in Communication</text>
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            </elementTextContainer>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="35088">
                <text>Frontiers Media S.A.</text>
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            </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="35089">
                <text>Communication. Mass media</text>
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          <name>Dublin Core</name>
          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
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                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
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            <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>
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      </elementSetContainer>
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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>
    </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="35072">
                <text>Impact of Geographic Distribution of COVID-19 Cases on Hotels’ Performances: Case of Polish Cities</text>
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            </elementTextContainer>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="35073">
                <text>Katarzyna Leśniewska-Napierała, Tomasz Napierała, Rafał Burski</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>The main goal of the article is to describe the short-term impacts of reported new cases and deaths of the COVID-19 disease on hotels’ performances in the nine major Polish urban hotel markets: Kraków, Warszawa, Poznań, Wrocław, Gdańsk, Lublin, Łódź, Katowice, and Sopot. Time range of the analysis covers the period from January 5, 2020 (the beginning of the very first week when the COVID-19 cases were evidenced) to March 14, 2020 (the initial phase of lockdown was introduced by the Polish government). Various geographical contexts of the COVID-19 impacts are considered: national, European, and global. Generalized method of moments was applied to investigate the influence of reported COVID-19 cases (deaths) on both occupancy and revenue per available room. The results show that the most significant, negative impact of the pandemic on hotel performances is confirmed at the European level of the COVID-19 outbreak. Moreover, the negative influence of national cases of COVID-19 is more significant in less internationalized (or less-populated) urban destinations. Thus, the hotel industry (especially in the most internationalized, biggest Polish cities) might be recovered only when issues of the COVID-19 epidemic will be solved at the European level.</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="35075">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="35076">
                <text>Poland, city, occupancy, hotel, revPAR, COVID-19</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="35077">
                <text>DOI: 10.3390/su12114697</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="35078">
                <text>Sustainability</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="35079">
                <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="35080">
                <text>Environmental sciences, Renewable energy sources, Environmental effects of industries and plants</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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    </elementSetContainer>
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  <item itemId="3816" public="1" featured="0">
    <fileContainer>
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        <src>https://www.socictopen.socict.org/files/original/7b87b9e464df40987405c999fb90cf73.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>
          <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>
          </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="35063">
                <text>The Evolution of Care of Cancers of the Head and Neck Region: State of the Science in 2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="35064">
                <text>Terry A. Day, Shaun A. Nguyen, David M. Neskey, Besim Ogretmen, Hannah M. Knochelmann, Anand K. Sharma, Flora Yan, Patrick  F. Morgan, John  M. Kaczmar, Evan  M. Graboyes</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="35065">
                <text>Cancers that arise in the head and neck region are comprised of a heterogeneous group of malignancies that include carcinogen- and human papillomavirus (HPV)-driven mucosal squamous cell carcinoma as well as skin cancers such as cutaneous squamous cell carcinoma, basal cell carcinoma, melanoma, and Merkel cell carcinoma. These malignancies develop in critical areas for eating, talking, and breathing and are associated with substantial morbidity and mortality despite advances in treatment. Understanding of advances in the management of these various cancers is important for all multidisciplinary providers who care for patients across the cancer care continuum. Additionally, the recent Coronavirus Disease 2019 (COVID-19) pandemic has necessitated adaptations to head and neck cancer care to accommodate the mitigation of COVID-19 risk and ensure timely treatment. This review explores advances in diagnostic criteria, prognostic factors, and management for subsites including head and neck squamous cell carcinoma and the various forms of skin cancer (basal cell carcinoma, cutaneous squamous cell carcinoma, Merkel cell carcinoma, and melanoma). Then, this review summarizes emerging developments in immunotherapy, radiation therapy, cancer survivorship, and the delivery of care during the COVID-19 era.</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="35066">
                <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="35067">
                <text>Head and neck cancer, skin cancer, thyroid cancer, Head and neck squamous-cell carcinoma, salivary gland cancer, COVID-19</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="35068">
                <text>DOI: 10.3390/cancers12061543</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="35069">
                <text>Cancers</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="35070">
                <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="35071">
                <text>Neoplasms. Tumors. Oncology. Including cancer and carcinogens</text>
              </elementText>
            </elementTextContainer>
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  <item itemId="3815" public="1" featured="0">
    <fileContainer>
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        <src>https://www.socictopen.socict.org/files/original/1802af4311d9177429ef812800673277.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>
          <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>
          </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="35054">
                <text>Knowledge and Apprehension of Dental Patients about MERS-A Questionnaire Survey</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="35055">
                <text>Bassel Tarakji, Abdulwahab Abuderman, Nipun ASHOK, Jean Clare Rodrigues, Khalid Azouni, Shorouk Darwish, Abdul Aziz Fahad Alkaabba</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="35056">
                <text>Introduction: Middle East Respiratory Syndrome (MERS) is adisease caused by beta corona virus. From April 11th to 9th June2014, World Health Organization (WHO) reported a total of 402laboratory confirmed cases of MERS from KSA, out of which132 cases were reported from Riyadh alone.Aim: The aim of this study was to assess the knowledge andapprehension of patients about MERS visiting Al Farabi Collegeof Dentistry, Riyadh, Saudi Arabia.Materials and Methods: A cross-sectional questionnaire basedsurvey was conducted which consisted of 10 self-preparedquestions. A total of 404 patients participated in this study.Results: Three hundred and forty patients had heard aboutMERS. Nearly a quarter of the patients (25.74%) wereapprehensive about undergoing dental treatment because ofMERS. A little more than half of the patients (50.99%) knew thatcamel is a source of Middle East Respiratory Syndrome-Coronavirus. Most of the patients (80.72%) were aware of the infectioncontrol measures to be followed by dentist and 138 patientsclaimed they took some precaution when present inside thedental college.Conclusion: Majority of the patients had heard about MERS andwas aware of the infection control measures. However, somepatients were apprehensive about undergoing dental treatmentbecause of MERS. Further steps need to be taken to educatethe patient's about transmission of MERS and infection controlmeasures in a dental hospital.</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="35057">
                <text>2016</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="35058">
                <text>coronavirus, respiratory infection, aerosol infection</text>
              </elementText>
            </elementTextContainer>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="35059">
                <text>DOI: 10.7860/JCDR/2016/17519.7790</text>
              </elementText>
            </elementTextContainer>
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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="35060">
                <text>Journal of Clinical and Diagnostic Research</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="35061">
                <text>JCDR Research and Publications Private Limited</text>
              </elementText>
            </elementTextContainer>
          </element>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Gyan Kayastha, Ijendra Prajapati</text>
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                <text>Government of Nepal (GoN) imposed a nationwide lockdown on 24th March, 2020 with an effort to limit the spread of novel corona virus which is responsible for corona virus disease (COVID-19). COVID-19 Nepal: Preparedness and Response Plan (NPRP) was implicated on April 2020 which stated Sukraraj Infectious and Tropical Disease Hospital (STIDH) in the capital, Kathmandu has been designated by the GoN as the primary hospital along with Patan Hospital and the Armed Police Forces Hospital in the Kathmandu Valley. The Ministry of Health and Population (MoHP) had requested the 25 hub and satellite hospital networks across the country; designated for managing mass casualty events; to be ready with infection prevention and control measures, and critical care beds where available.  Hospitals with less than 50 beds viz community-based municipality hospitals were left feeble against the surge of the pandemic. Waiting for the aid and support from government was the only option for some hospitals that lacked resources to combat this invisible culprit of global pandemic. However, Nepal Korea Friendship Municipality Hospital (NKFMH) located in Thimi, Bhaktapur determined itself to fight against this pandemic with limited resources. This hospital not only serves the local community but also patients coming from all over Province 3 due to government insurance facilities provided by this hospital. With interaction and support from the Hospital Director, Mayor of the municipality, Korea International Cooperation Agency (KOICA), Bhaktapur Red Cross, Hospital board, Hospital Staffs, Medical Team, Adminstration, Interpid and locals in the community prompt preparedness action plan was formulated through various meeting at different levels and acted upon.</text>
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                <text>preparedness, community hospital, COVID-19</text>
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                <text>DOI: 10.22502/jlmc.v8i1.360</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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