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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>Schools That ‘Open Doors’ to Prevent Child Abuse in Confinement by COVID-19</text>
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                <text>Patricia Melgar, Esther Roca, Regina Gairal Casadó, Miguel  A. Pulido-Rodríguez</text>
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                <text>Background: Due to the expected increase in child abuse during the period of COVID-19 confinement, it is essential that social researchers and other professionals work together very quickly to provide alternatives that protect children. To respond to this extremely urgent demand, evidence-based actions are presented that are being carried out in nine schools in the autonomous communities of Valencia and Murcia, Spain, during the confinement with the goal of “opening doors” to foster supportive relationships and a safe environment to prevent child abuse. Methods: The research was conducted through the inclusion of teachers who are implementing these actions in dialogue with the researchers to define the study design, analysis, and discussion of the results. Results: Knowledge regarding six evidence-based actions is provided: (1) dialogic workspaces, (2) dialogic gatherings, (3) class assemblies, (4) dialogic pedagogical gatherings with teachers, (5) mixed committees, and (6) dynamisation of social networks with preventive messages and the creation of a sense of community, which are being implemented virtually.</text>
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                <text>2020</text>
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                <text>prevention, Child abuse, COVID-19</text>
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                <text>DOI: 10.3390/su12114685</text>
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                <text>Sustainability</text>
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                <text>MDPI AG</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Environmental sciences, Renewable energy sources, Environmental effects of industries and plants</text>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Could Sex/Gender Differences in ACE2 Expression in the Lungs Contribute to the Large Gender Disparity in the Morbidity and Mortality of Patients Infected With the SARS-CoV-2 Virus?</text>
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                <text>Gregor Majdic</text>
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                <text>COVID-19 morbidity and mortality have significant gender disparities, with higher prevalence and mortality in men. SARS-CoV-2 enters the lungs through the ACE2 enzyme, a member of the renin-angiotensin system (RAS). Although there are no data for the lung, the expressions of RAS components in other tissues are modulated by sex hormones, androgens, and estrogens. However, there are no data on sex-specific differences in ACE2 expression. If there is a sex difference in the expression of ACE2 in the lung, this could theoretically explain the gender disparity in COVID-19 disease. More importantly, although modulation of ACE2 will certainly not provide a cure for the COVID-19 disease, modulation of ACE2 by sex hormone modulators, if they affect the expression of ACE2, could potentially be developed into a supportive therapy for COVID-19 patients.</text>
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                <text>2020</text>
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                <text>Androgens, lung, sex difference, ACE2, COVID-19</text>
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                <text>DOI: 10.3389/fcimb.2020.00327</text>
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                <text>Frontiers in Cellular and Infection Microbiology</text>
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                <text>Frontiers Media S.A.</text>
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                <text>Microbiology</text>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Recent Understandings Toward Coronavirus Disease 2019 (COVID-19): From Bench to Bedside</text>
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                <text>Jie Yu, Xianqun Fan, Shengfang Ge, Peiwei Chai</text>
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                <text>In late December 2019, an unprecedented outbreak of coronavirus disease 2019 (COVID-19) caused by SARS coronavirus 2 (SARS-CoV-2) (previously named 2019-nCoV) in Wuhan became the most challenging health emergency. Since its rapid spread in China and many other countries, the World Health Organization (WHO) declared COVID-19 a public health emergency of international concern (PHEIC) on 30th January 2020 and a pandemic on 11th March 2020. Thousands of people have died, and there are currently no vaccines or specific antiviral drugs for COVID-19. Therefore, it is critical to have a comprehensive understanding of the virus. In this review, we highlight the etiology, epidemiology, pathogenesis and pathology, clinical characteristics, diagnosis, clinical management, prognosis, infection control and prevention of COVID-19 based on recent studies.</text>
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                <text>2020</text>
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                <text>review, health emergency, 2019ncov, SARS-CoV-2, COVID-19</text>
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            <description>An unambiguous reference to the resource within a given context</description>
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                <text>DOI: 10.3389/fcell.2020.00476</text>
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                <text>Frontiers in Cell and Developmental Biology</text>
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            <description>An entity responsible for making the resource available</description>
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                <text>Frontiers Media S.A.</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Biology (General)</text>
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              <name>Title</name>
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                  <text>Dominio científico: Coronavirus</text>
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            <name>Title</name>
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                <text>Cystic Fibrosis: Fighting Together Against Coronavirus Infection</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Sara Manti, Salvatore Leonardi, Giuseppe Fabio Parisi, Maria Papale, Novella Rotolo, Enza Mulè, Donatella Aloisio</text>
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                <text>2020</text>
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                <text>Cystic fibrosis, coronavirus, recommandation, SARS-CoV-2, COVID-19</text>
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                <text>DOI: 10.3389/fmed.2020.00307</text>
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                <text>Frontiers in Medicine</text>
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                <text>Frontiers Media S.A.</text>
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                <text>Medicine (General)</text>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Infodemic in the Global Coronavirus Crisis</text>
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                <text>Vahideh Zareh Gavgani</text>
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                <text>In December 26, 2019, 4 unusual cases of pneumonia were recorded in China, three of those were from the same family. Another 3 cases of pneumonia were found in the same hospital in December 28 and 29(1). The virus started to expand rapidly so that doctors in Wuhan Hospital reported the phenomenon to China’s CDC and WHO. The research articles began to publish online from the first of January.  The Coronavirus news spread out as quickly as the virus. The virus was named new coronavirus 2019 (nCoV 2019). In January 7, 2020 the disease caused by the virus was identified as CoVID 19 (1). The altmetrics database indicates the first mentions to the peer reviewed articles about coronavirus has been tracked in social media like Twitter and Facebook since January 16,2020. The majority of mentions aggregated from the public profiles. The scientists, practitioners (like doctors) and science communicators (like journalists) were the other group of people who mentioned the scientific articles. This could be a dangerous sign for risk communication, at the same time. The public are the main group who follow the news and information on the social media but not all of the public know how to distinguish misinformation from the truth.&amp;nbsp;  In January 30, the coronavirus was identified as a global health threat requiring collaboration of all countries (2). In February, the virus spread out of the China and immediately became the headline of news media. In Mach 8,2020 the China health department claimed that the outbreak has been controlled and Wuhan closed makeshift hospitals(4,5) but the disease surges in Iran. The first cases of coronavirus were formally reported in 19 February 2020 in Qum city of Iran (3). At the moment, the highest rank of mortality caused by the pandemic relates to Italy, Iran, and South Korea (6). People surf the web and social media impatiently for information on cause, transmission, control and prevention of coronavirus disease (CoViD 19).&amp;nbsp; They often use and re-publish the information they find online before recognizing their trustworthiness and the evidence behind them.&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;  The open access and democratic nature of health communication in social media and the Internet provide opportunity for distribution of myths and truths about coronavirus. Distribution of misinformation among public, damages public health and creates distrust to authorized sources of information. Therefore, misinformation epidemic is more dangerous than the crises.  Goffman in 1964 (13) and then Eysenbach recognized and introduced the prevalence of misinformation epidemic through online health information seeking in 2002 (7). He found that most of health information that disseminate during epidemic in social media and internet disagree the evidence (8,9). He called the methods of identifying, studying and management of misinformation as infodemiology. Infodemiology progresses in crises, specially the public health crises, in which abundant of misinformation becomes accessible for public and creates complexity instead of solving the problem.  WHO director in the Munich Security Conference held in 15 February doubted about distribution of misinformation about the epidemic of coronavirus and called it the infodemic by declaring that we are not fighting an epidemic, we are fighting infodemic and this requires global collaboration (10,11).  In crises, public informing of the methods of evaluation of information resources is not a right strategy for tackling with dissemination of misinformation. Novel strategies are needed to tackle with new infodemic crises and to assure that right information disseminated from the trusted sources to people at the right time. We also need to guarantee that people take the right action by receiving the right information in coronavirus epidemic. Hence, the WHO’s Risk Communication Team launched a new information platform called WHO Information Network for Epidemics (EPI-WIN) (2). One of the methods that this team follows is identifying misinformation in social media, searching and finding related scientific evidence with them from sources such as scientific papers and publishing them on EPIWIN website to provide accurate information for information hunger of the people. Today, infodemic crises have become one of the priorities of health decision making authorities in the world. We also warn our society about misinformation distributed among public in the form of news, recommendation and guidelines about coronavirus. Misinformation caused more than 27 deaths by direct consumption of alcohol and detergents to avoid the risk of coronavirus in Iran (12).&amp;nbsp; Recommending use of some foods, drugs and plants without scientific evidence increases rapidly among people. Some of these products like Descurainia sophia, garlic, cinnamon, nigella seeds, wild rue seeds have no evidence and some like Vitamin D have been proved to be effective by the evidence but are misinformed and distorted.&amp;nbsp;&amp;nbsp;  These are just examples of misinformation epidemic on coronavirus 2019 pneumonic. Still there are further issues to discuss and to study about the psychological adverse effects. The spread of misinformation about coronavirus has political, industrial, economical and health related aspects which require specific strategies for treatment. It is required that a team is formed in Iran for tracking, controlling and managing the contamination of information to assess information evidence.</text>
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                <text>health communication, communication, Information literacy, Health System, Information dissemination, online social networking, coronavirus disease (covid-19)</text>
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                <text>Taṣvīr-i salāmat</text>
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                <text>Tabriz University of Medical Sciences</text>
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                <text>Medicine (General)</text>
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                <text>Air transportation, population density and temperature predict the spread of COVID-19 in Brazil</text>
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                <text>Reinaldo Barbosa, William Magnusson, Fabricio Baccaro, Clarissa Rosa, Pedro Pequeno, Bruna Mendel, Mariane Bosholn, Jorge Luiz Souza</text>
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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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                <text>2020</text>
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                <text>DOI: 10.7717/peerj.9322</text>
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                <text>PeerJ Inc.</text>
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                <text>Medicine</text>
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                <text>A Comparison of Infection Venues of COVID-19 Case Clusters in Northeast China</text>
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                <text>Nan ZHANG, Pengcheng Zhao, Yuguo Li</text>
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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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                <text>Case Report, Northeast China, cluster, COVID-19, infection location</text>
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                <text>DOI: 10.3390/ijerph17113955</text>
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              <elementText elementTextId="34815">
                <text>International Journal of Environmental Research and Public Health</text>
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                <text>MDPI AG</text>
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                <text>Medicine</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Hyperlocal Postcode Based Crowdsourced Surveillance Systems in the COVID-19 Pandemic Response</text>
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                <text>Ajay Hegde, Darshan Krishnappa, Ramesh Masthi</text>
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                <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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                <text>2020</text>
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                <text>Surveillance, digital health, Crowdsource, pandemic response, COVID-19, post code map</text>
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                <text>DOI: 10.3389/fpubh.2020.00286</text>
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                <text>Frontiers in Public Health</text>
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              <elementText elementTextId="34807">
                <text>Frontiers Media S.A.</text>
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              <elementText elementTextId="34808">
                <text>Public aspects of medicine</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Risk Factors Associated With Long-Term Hospitalization in Patients With COVID-19: A Single-Centered, Retrospective Study</text>
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                <text>Ping Zhong, Yingying Chen, Bing-Bo Hou, Yiqun Wu, Jielan Liu</text>
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                <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>
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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="34799">
                <text>Medicine (General)</text>
              </elementText>
            </elementTextContainer>
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  <item itemId="3784" public="1" featured="0">
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        <src>https://www.socictopen.socict.org/files/original/a0d9d0ac912996aeb6e6442e2e6b2790.pdf</src>
        <authentication>29aae29991bc96418b50def804dcb2c1</authentication>
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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>
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              </elementTextContainer>
            </element>
          </elementContainer>
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      </elementSetContainer>
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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>
        <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="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>
              </elementText>
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          <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>
              </elementText>
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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="34785">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="34786">
                <text>crisis, problem gambling, gambling disorder, Pandemic, behavioral addiction, COVID-19</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="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>
          </element>
        </elementContainer>
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