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                  <text>Dominio científico: Coronavirus</text>
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                <text>Hospital treatment of severe acute exacerbation of chronic obstructive pulmonary disease in COVID-19 situation: back to basics</text>
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                <text>Pratap Upadhya, Rohit Vadala, Arpitha  A</text>
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                <text>Patients of chronic obstructive pulmonary disease (COPD) during COVID-19 pandemic have higher morbidity. Treatment of these patients require aerosolization procedures like nebulization and noninvasive modalities for ventilation like non-invasive ventilation (NIV) and high flow nasal cannula (HFNC). Role of these procedures in corona virus transmission when treating a case of acute exacerbation of chronic obstructive pulmonary disease should be further studied.</text>
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                <text>2020</text>
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                <text>coronavirus, aerosol, non-invasive ventilation, high-flow nasal cannula, chronic obstructive pulmonary disease, Acute exacerbation</text>
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                <text>10.4081/monaldi.2020.1424</text>
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                <text>Monaldi Archives for Chest Disease</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Hospital-acquired Skin and Skin-structure Infection  in COVID-19 Infected Patient with Prolonged Hospitalization</text>
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                <text>Erni Juwita Nelwan, Rahajeng N Tunjungputri, Narottama Tunjung, Djoko Widodo</text>
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                <text>Acute bacterial skin and skin-structure infections (ABSSSI) is defined in 2013 by the US Food and Drug Administration as a bacterial cellulitis/erysipelas, major skin abscesses, and wound infections. The Infectious Diseases Society of America (IDSA) in 2014 classifies skin and soft-tissue infection (SSTI) as either non-purulent (which includes cellulitis, erysipelas, and necrotizing infection) or purulent (including furuncle, carbuncle, and abscess). Among hospitalized patients with SSTI, healthcare-associated infections account for 73.5% of all cases. Notably, skin and skin-structure infections caused by Pseudomonas aeruginosa, a common hospital pathogen, was reported to cause higher total cost and longer hospital length of stay compared to non-P. aeruginosa cases, despite causing only approximately 5.7% of all healthcare-associated SSTIs. Infection with P. aeruginosa should always be considered in non-healing skin infections in patients with prolonged hospitalization and antibiotic exposure. Tissue culture, preferably taken by surgical debridement, should be promptly performed; and when hospital-infection is suspected, appropriate antibiotics should be started along with removal of all devitalized tissue and to promote skin and soft tissue healing. Expedited discharge should be considered when possible, with adequate antibiotic treatment and follow up for definitive wound treatment.</text>
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                <text>2021</text>
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                <text>covid-19, Prolonged hospitalization, hospital-acquired skin, skin-structure infection</text>
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                <text>Acta Medica Indonesiana</text>
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                <text>Interna Publishing</text>
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                <text>Internal medicine</text>
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                  <text>Agricultura sostenible</text>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Agricultura sostenible</text>
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            <description>A name given to the resource</description>
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                <text>Hospitales sostenibles frente al cambio climático : huelladle carbono de un hospital publico de la Ciudad de Buenos Aires</text>
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                <text>María Rosa,  Smith Rodríguez, Ernesto, De Titto</text>
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            <description>An account of the resource</description>
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                <text>El cambio climático es una cuestión de salud pública. La huella de carbono constituye parte esencial de la huella ecológica de una entidad, que mide la superficie biológica necesaria para producir los bienes y servicios consumidos por la misma, así como la capacidad para asimilar los residuos que genera, por lo que es importante su estimación como indicadora del impacto ambiental que generan las actividades del establecimiento. OBJETIVOS: Estimar la huella de carbono del Hospital General de Agudos Enrique Tornú de la Ciudad Autónoma de Buenos Aires en 2015. MÉTODOS: estudio cuali-cuantitativo descriptivo, de tipo transversal, que incluyó las fuentes emisoras de gases con efecto invernadero para calcular las emisiones de las actividades del hospital desde la perspectiva de una organización. RESULTADOS: La huella de carbono obtenida en toneladas de dióxido de carbono equivalente fue 1526,47. El 43% fueron generadas por emisiones directas, 29% por emisiones indirectas por consumo de energía y el 28% restante por otras emisiones indirectas. Indicador obtenido: I2015 = 9,09 tCO2e/cama. CONCLUSIONES: Los resultados muestran el impacto ambiental generado por el funcionamiento del hospital y su contribución al calentamiento global. Los aportes de cada actividad permiten identificar las fuentes de emisión de mayor peso como áreas de oportunidad para la implementación de estrategias de reducción y/o mitigación. El indicador de desempeño permitirá medir avances en términos de reducción programada de emisiones</text>
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            <name>Date</name>
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                <text>2018</text>
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            <name>Source</name>
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              <elementText elementTextId="238841">
                <text>Revista Argentina de Salud Pública</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Ministerio de Salud</text>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Public aspects of medicine, Medicine (General)</text>
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            <description>A related resource</description>
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                <text>&lt;a href="http://rasp.msal.gov.ar/rasp/articulos/volumen36/7-13.pdf" target="_blank" rel="noreferrer noopener"&gt;http://rasp.msal.gov.ar/rasp/articulos/volumen36/7-13.pdf&lt;/a&gt;</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>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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                <text>Hospitalization and Mortality from COVID-19 of Patients with Rheumatic Inflammatory Diseases in Andalusia.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="58253">
                <text>Natalia Mena-Vázquez, Sara Manrique Arija, Marta Rojas-Giménez, Enrique Raya-Álvarez, María Luisa Velloso-Feijoó, C López-Medina, Consuelo Ramos-Giraldez, Francisco Javier Godoy-Navarrete, Rocío Redondo-Rodríguez, Alba María Cabezas-Lucena, M Morales-Águila, C M Romero-Barco, Antonio Fernández-Nebro</text>
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                <text>To describe whether rheumatic inflammatory diseases (RID) are associated with a higher risk of hospitalization and/or mortality from COVID-19 and identify the factors associated with hospitalization and mortality in RID and COVID-19 in different Hospitals in Andalusia. Design: Multicentre observational case-control study. RID and COVID-19 from different centres in Andalusia. patients without RIS matched by sex, age and CRP-COVID. Protocol A list of patients with PCR for COVID-19 was requested from the microbiology service from March 14 to April 14, 2020. The patients who had RID were identified and then consecutively a paired control for each case. Variables The main outcome variable was hospital admission and mortality from COVID-19. Statistical analysis Bivariate followed by binary logistic regression models (DV: mortality/hospital admission). One hundred and fifty-six patients were included, 78 with RID and COVID-19 and 78 without RID with COVID-19. The patients did not present characteristics of COVID-19 disease different from the general population, nor did they present higher hospital admission or mortality. The factor associated with mortality in patients with RID was advanced age (OR [95% CI], 1.1 [1.0-1.2]; p = 0.025), while the factors associated with hospitalization were advanced age (OR [95% CI], 1.1 [1.0-1.1]; p = 0.007) and hypertension (OR [95% CI], 3.9 [1.5-6.7]; p = 0.003). Mortality and hospital admission due to COVID-19 do not seem to increase in RID. Advanced age was associated with mortality in RID and, in addition, HTN was associated with hospital admission.</text>
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                <text>2021</text>
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                <text>mortality, covid-19, Hospitalization, mortalidad, Hospitalización, rheumatic inflammatory disease, Enfermedad inflamatoria reumática</text>
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                <text>10.1016/j.reuma.2021.02.009</text>
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                <text>Reumatologia clinica</text>
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                <text>W. Widagdo, Syriam  Sooksawasdi Na Ayudhya, Gadissa B. Hundie, Bart L. Haagmans</text>
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                <text>Middle East respiratory syndrome coronavirus (MERS-CoV) is a zoonotic pathogen that causes respiratory infection in humans, ranging from asymptomatic to severe pneumonia. In dromedary camels, the virus only causes a mild infection but it spreads efficiently between animals. Differences in the behavior of the virus observed between individuals, as well as between humans and dromedary camels, highlight the role of host factors in MERS-CoV pathogenesis and transmission. One of these host factors, the MERS-CoV receptor dipeptidyl peptidase-4 (DPP4), may be a critical determinant because it is variably expressed in MERS-CoV-susceptible species as well as in humans. This could partially explain inter- and intraspecies differences in the tropism, pathogenesis, and transmissibility of MERS-CoV. In this review, we explore the role of DPP4 and other host factors in MERS-CoV transmission and pathogenesis&amp;mdash;such as sialic acids, host proteases, and interferons. Further characterization of these host determinants may potentially offer novel insights to develop intervention strategies to tackle ongoing outbreaks.</text>
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                <text>MERS-CoV, Transmission, pathogenesis, host factors, DPP4</text>
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                <text>DOI: 10.3390/v11030280</text>
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                <text>Microbiology</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Host Diversity and Origin of Zoonoses: The Ancient and the New</text>
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                <text>Judith Recht, Verena  J. Schuenemann, Marcelo  R. Sánchez-Villagra</text>
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                <text>Bacterial, viral, and parasitic zoonotic diseases are transmitted to humans from a wide variety of animal species that act as reservoir hosts for the causative organisms. Zoonoses contribute an estimated 75% of new or reemerging infectious diseases in humans. All groups of mammals have been shown to act as hosts for transmission of different organisms that cause zoonoses, followed in importance by birds; with both wild and domestic species identified as hosts in specific cases. There has been considerable research progress leading to a better understanding of the host range, animal origin, evolution, and transmission of important zoonoses, including those caused by the ingestion of food and products derived from animals. Paleopathology studies of ancient human bone lesions, in combination with ancient DNA analysis of the causative pathogen, have contributed to our understanding of the origin of zoonotic diseases, including brucellosis and mycobacterial zoonoses. However, there are still knowledge gaps and new confirmed and potential hosts are reported locally with some frequency. Both the economic cost and burden of disease of zoonoses are substantial at local and global levels, as reflected by recent coronavirus pandemics that spread rapidly around the world. Evidence-based prevention strategies are currently a global priority increasingly recognized, especially in zoonoses-affected regions.</text>
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                <text>Coronaviruses, zoonoses, Chagas disease, brucellosis, mycobacterial diseases, host diversity</text>
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                <text>10.3390/ani10091672</text>
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                <text>Epidemiology and Health</text>
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                <text>Korean Society of Epidemiology</text>
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                <text>Veterinary medicine, Zoology</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Host factor prioritization for pan-viral genetic perturbation screens using random intercept models and network propagation.</text>
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                <text>Simon Dirmeier, Christopher Dächert, Martijn van Hemert, Ali Taş, Natacha S. Ogando, Frank van Kuppeveld, Ralf Bartenschlager, Lars Kaderali, Marco Binder, Niko Beerenwinkel</text>
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                <text>Genetic perturbation screens using RNA interference (RNAi) have been conducted successfully to identify host factors that are essential for the life cycle of bacteria or viruses. So far, most published studies identified host factors primarily for single pathogens. Furthermore, often only a small subset of genes, e.g., genes encoding kinases, have been targeted. Identification of host factors on a pan-pathogen level, i.e., genes that are crucial for the replication of a diverse group of pathogens has received relatively little attention, despite the fact that such common host factors would be highly relevant, for instance, for devising broad-spectrum anti-pathogenic drugs. Here, we present a novel two-stage procedure for the identification of host factors involved in the replication of different viruses using a combination of random effects models and Markov random walks on a functional interaction network. We first infer candidate genes by jointly analyzing multiple perturbations screens while at the same time adjusting for high variance inherent in these screens. Subsequently the inferred estimates are spread across a network of functional interactions thereby allowing for the analysis of missing genes in the biological studies, smoothing the effect sizes of previously found host factors, and considering a priori pathway information defined over edges of the network. We applied the procedure to RNAi screening data of four different positive-sense single-stranded RNA viruses, Hepatitis C virus, Chikungunya virus, Dengue virus and Severe acute respiratory syndrome coronavirus, and detected novel host factors, including UBC, PLCG1, and DYRK1B, which are predicted to significantly impact the replication cycles of these viruses. We validated the detected host factors experimentally using pharmacological inhibition and an additional siRNA screen and found that some of the predicted host factors indeed influence the replication of these pathogens.</text>
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                <text>DOI: 10.1371/journal.pcbi.1007587</text>
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                <text>PLoS Computational Biology</text>
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                <text>Public Library of Science (PLoS)</text>
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                <text>Biology (General)</text>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
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                <text>Host Factors Affecting Generation of Immunity Against Porcine Epidemic Diarrhea Virus in Pregnant and Lactating Swine and Passive Protection of Neonates</text>
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              <elementText elementTextId="12847">
                <text>Stephanie N. Langel, Qiu-hong Wang, Anastasia N. Vlasova, Linda J. Saif</text>
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                <text>Porcine epidemic diarrhea virus (PEDV) is a highly virulent re-emerging enteric coronavirus that causes acute diarrhea, dehydration, and up to 100% mortality in neonatal suckling piglets. Despite this, a safe and effective PEDV vaccine against highly virulent strains is unavailable, making PEDV prevention and control challenging. Lactogenic immunity induced via the gut-mammary gland-secretory IgA (sIgA) axis, remains the most promising and effective way to protect suckling piglets from PEDV. Therefore, a successful PEDV vaccine must induce protective maternal IgA antibodies that passively transfer into colostrum and milk. Identifying variables that influence lymphocyte migration and IgA secretion during gestation and lactation is imperative for designing maternal immunization strategies that generate the highest amount of lactogenic immune protection against PEDV in suckling piglets. Because pregnancy-associated immune alterations influence viral pathogenesis and adaptive immune responses in many different species, a better understanding of host immune responses to PEDV in pregnant swine may translate into improved maternal immunization strategies against enteric pathogens for multiple species. In this review, we discuss the role of host factors during pregnancy on antiviral immunity and their implications for generating protective lactogenic immunity in suckling neonates.</text>
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                <text>PEDV, lactogenic immunity, IgA antibodies, gut-mammary gland-secretory iga axis, Pregnancy, Lymphocyte trafficking</text>
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                <text>DOI: 10.3390/pathogens9020130</text>
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                <text>Pathogens</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>Host or pathogen-related factors in COVID-19 severity? - Authors' reply.</text>
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                <text>Lucy C Okell, Robert Verity, Aris Katzourakis, Erik M Volz, Oliver J Watson, Swapnil Mishra, Patrick Walker, Charlie Whittaker, Christl A Donnelly, Steven Riley, Azra C Ghani, Axel Gandy, Seth Flaxman, Neil M Ferguson, Samir Bhatt</text>
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                <text>10.1016/S0140-6736(20)32212-1</text>
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                <text>Lancet (London, England)</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
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                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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              </elementTextContainer>
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          </elementContainer>
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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>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="13976">
                <text>Host susceptibility to severe COVID-19 and establishment of a host risk score: findings of 487 cases outside Wuhan</text>
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            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="13977">
                <text>Yu Shi, Xia Yu, Hong Zhao, Hao Wang, Ruihong ZHAO, Ji-fang Sheng</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="13978">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="13979">
                <text>COVID-2019, Disease severity, Risk factors, host susceptibility</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="13980">
                <text>DOI: 10.1186/s13054-020-2833-7</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="13981">
                <text>Critical Care</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="13982">
                <text>BMC</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="13983">
                <text>Medical emergencies. Critical care. Intensive care. First aid</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
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              <elementText elementTextId="13984">
                <text>EN</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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</itemContainer>
