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                  <text>Dominio científico: Coronavirus</text>
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                <text>Brewery Packaging in a Post-COVID Economy within the United States</text>
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                <text>Eric  R. Pitts, Katherine Witrick</text>
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                <text>The 2020 pandemic caused by the novel coronavirus, SARS-CoV-2, also referred to as the COVID-19 [named for the disease caused by the virus] pandemic, shook the world to its core. Not only were populations hurt by the virus physically, the pandemic had deep repercussions economically as well. One of the industries severely impacted by the implications of the 2020 COVID-19 pandemic was the brewing industry, particularly that of the United States. The economic turmoil and uncertainty were felt by both macro and micro brewers alike. Draft beer sales virtually dried up overnight as state-imposed shutdowns closed bars, restaurants, and taprooms as a means to curb the spread of the virus. There were supply chain and logistical issues that arose during the pandemic due to not only closures within the brewing industry but supporting industries such as printers and shippers. In some cases, entire business models had to be turned completely on their head in an instant and business pivots had to be made. The year 2020 was wrought with challenges faced by the brewing industry. There was one saving grace however that kept many breweries afloat during the pandemic, and that was packaged beverage sales, especially those packages intended for off-site consumption. Set forth by trends of the pre-pandemic years aluminum cans and canning reigned supreme for the craft brewing market and allowed breweries to get product into the hands of consumers and ultimately allowed some breweries to stay open. Other options breweries had included the use of glass growlers or aluminum crowlers as a means to sell draft products to-go. The resourcefulness of many brewery owners was tested in 2020 and many rose to the challenge. This report aims to examine several of the challenges, pivots, and solutions packaging provided to the beer industry during the pandemic.</text>
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                <text>2021</text>
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                <text>covid-19, brewing industry, beer packaging</text>
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                <text>10.3390/beverages7010014</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>Nutrition. Foods and food supply, Nutritional diseases. Deficiency diseases</text>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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        <name>Dublin Core</name>
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                <text>Smoking-Mediated Upregulation of the Androgen Pathway Leads to Increased SARS-CoV-2 Susceptibility</text>
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                <text>Eric  Y. Chang, Jaideep Chakladar, Neil Shende, Wei  Tse Li, Mahadevan Rajasekaran, Weg  M. Ongkeko</text>
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                <text>The COVID-19 pandemic is marked by a wide range of clinical disease courses, ranging from asymptomatic to deadly. There have been many studies seeking to explore the correlations between COVID-19 clinical outcomes and various clinical variables, including age, sex, race, underlying medical problems, and social habits. In particular, the relationship between smoking and COVID-19 outcome is controversial, with multiple conflicting reports in the current literature. In this study, we aim to analyze how smoking may affect the SARS-CoV-2 infection rate. We analyzed sequencing data from lung and oral epithelial samples obtained from The Cancer Genome Atlas (TCGA). We found that the receptor and transmembrane protease necessary for SARS-CoV-2 entry into host cells, ACE2 and TMPRSS2, respectively, were upregulated in smoking samples from both lung and oral epithelial tissue. We then explored the mechanistic hypothesis that smoking may upregulate ACE2 expression through the upregulation of the androgen pathway. ACE2 and TMPRSS2 upregulation were both correlated to androgen pathway enrichment and the specific upregulation of central pathway regulatory genes. These data provide a potential model for the increased susceptibility of smoking patients to COVID-19 and encourage further exploration into the androgen and tobacco upregulation of ACE2 to understand the potential clinical ramifications.</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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              <elementText elementTextId="46671">
                <text>TMPRSS2, covid-19, SARS-CoV-2, ACE2, Smoking, androgen</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>10.3390/ijms21103627</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="46674">
                <text>Korean Society of Epidemiology</text>
              </elementText>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Biology (General), Chemistry</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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        <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>
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                <text>Deep Brain Stimulation for Parkinson’s Disease During the COVID-19 Pandemic: Patient Perspective</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="53201">
                <text>Eric A. Storch, Chencheng Zhang, Chencheng Zhang, Chencheng Zhang, Jing Zhang, Jing Zhang, Xian Qiu, Xian Qiu, Yingying Zhang, Yingying Zhang, Zhengyu Lin, Zhengyu Lin, Peng Huang, Peng Huang, Yixin Pan, Yixin Pan, Bomin Sun, Bomin Sun, Dianyou Li, Dianyou Li</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>BackgroundPublic health guidelines have recommended that elective medical procedures, including deep brain stimulation (DBS) surgery for Parkinson’s disease (PD), should not be scheduled during the coronavirus (COVID-19) pandemic to prevent further virus spread and overload on health care systems. However, delaying DBS surgery for PD may not be in the best interest of individual patients and is not called for in regions where virus spread is under control and inpatient facilities are not overloaded.MethodsWe administered a newly developed phone questionnaire to 20 consecutive patients with PD who received DBS surgery in Ruijin Hospital in Shanghai during the COVID-19 pandemic. The questionnaire was designed to gather the patients’ experiences and perceptions on the impact of COVID-19 on their everyday activities and access to medical care.ResultsMost of the patients felt confident about the preventive measures taken by the government and hospitals, and they have changed their daily living activities accordingly. Moreover, a large majority of patients felt confident obtaining access to regular and COVID-19-related health care services if needed. Routine clinical referral, sense of security in the hospital during the outbreak, and poor control of PD symptoms were the three main reasons given by patients for seeking DBS surgery during the COVID-19 pandemic.ConclusionThe COVID-19 pandemic has considerably impacted medical care and patients’ lives but elective procedures, such as DBS surgery for PD, do not need to be rescheduled when the health care system is not overloaded and adequate public health regulations are in place.</text>
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                <text>2021</text>
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                <text>covid-19, Parkinson’s disease, elective surgery, person centered care, deep brain stimulation</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="53205">
                <text>10.3389/fnhum.2021.628105</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="53207">
                <text>Korean Society of Epidemiology</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>Neurosciences. Biological psychiatry. Neuropsychiatry</text>
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              <name>Title</name>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Causal Analysis of Health Interventions and Environments for Influencing the Spread of COVID-19 in the United States of America</text>
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                <text>Eric Boerwinkle, Momiao Xiong, Zhouxuan Li, Tao Xu, Kai Zhang, Hong-Wen Deng</text>
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            <description>An account of the resource</description>
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                <text>Given the lack of potential vaccines and effective medications, non-pharmaceutical interventions are the major option to curtail the spread of COVID-19. An accurate estimate of the potential impact of different non-pharmaceutical measures on containing, and identify risk factors influencing the spread of COVID-19 is crucial for planning the most effective interventions to curb the spread of COVID-19 and to reduce the deaths. Additive model-based bivariate causal discovery for scalar factors and multivariate Granger causality tests for time series factors are applied to the surveillance data of lab-confirmed Covid-19 cases in the US, University of Maryland Data (UMD) data, and Google mobility data from March 5, 2020 to August 25, 2020 in order to evaluate the contributions of social-biological factors, economics, the Google mobility indexes, and the rate of the virus test to the number of the new cases and number of deaths from COVID-19. We found that active cases/1,000 people, workplaces, tests done/1,000 people, imported COVID-19 cases, unemployment rate and unemployment claims/1,000 people, mobility trends for places of residence (residential), retail and test capacity were the popular significant risk factor for the new cases of COVID-19, and that active cases/1,000 people, workplaces, residential, unemployment rate, imported COVID cases, unemployment claims/1,000 people, transit stations, mobility trends (transit), tests done/1,000 people, grocery, testing capacity, retail, percentage of change in consumption, percentage of working from home were the popular significant risk factor for the deaths of COVID-19. We observed that no metrics showed significant evidence in mitigating the COVID-19 epidemic in FL and only a few metrics showed evidence in reducing the number of new cases of COVID-19 in AZ, NY and TX. Our results showed that the majority of non-pharmaceutical interventions had a large effect on slowing the transmission and reducing deaths, and that health interventions were still needed to contain COVID-19.</text>
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                <text>covid-19, Transmission dynamics, time-series, causal inference, Public Health Interventions, control of the spread</text>
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                <text>10.3389/fams.2020.611805</text>
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                <text>Epidemiology and Health</text>
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                <text>Korean Society of Epidemiology</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>Applied mathematics. Quantitative methods, Probabilities. Mathematical statistics</text>
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                <text>Platelet reactivity to thrombin differs between patients with COVID-19 and those with ARDS unrelated to COVID-19.</text>
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                <text>Eric Boilard, Younes Zaid, Fadila Guessous, Florian Puhm, Wail Elhamdani, Lamyae Chentoufi, Andrew Conway Morris, Amine Cheikh, Farid Jalali, Louis Flamand</text>
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                <text>10.1182/bloodadvances.2020003513</text>
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                <text>Blood advances</text>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>The Importance of Chest CT Scan in COVID-19</text>
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                <text>Eric Daniel Tenda, Mira Yulianti, Moses Mazmur Asaf, Reyhan Eddy Yunus, Wita Septiyanti, Vally Wulani, Ceva Wicaksono Pitoyo, Cleopas Martin Rumende, Siti Setiati</text>
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            <description>An account of the resource</description>
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                <text>The coronavirus disease 2019 (COVID-19) is a highly transmissible acute respiratory disease that is caused by the Severe Acute Respiratory Syndrome CoronaVirus-2 (SARS-CoV-2), a beta coronavirus first discovered in Wuhan, China, in late 2019. COVID-19 has been spreading swiftly globally, and as of March 2020, has been officially declared a pandemic by the World Health Organization (WHO). One of the challenges in managing COVID-19 is the identification of a swift, accessible, and reliable diagnostic modality that could serve as an alternative to a reverse-transcriptase polymerase chain reaction (RT-PCR). As of the writing of this paper, RT-PCR is still the recommended tool in diagnosing COVID-19, but the notion of a more prompt and accurate diagnostic tool is a possibility worth looking into. The objective of this case study is to investigate the importance and utility of chest computed tomography (CT) in the diagnosis of COVID-19, as increasing pieces of evidence suggest that chest CT could prove useful in the clinical pathway in diagnosing COVID-19.</text>
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            <description>The topic of the resource</description>
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                <text>Respiratory Medicine, radiology, Internal medicine</text>
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                <text>Acta Medica Indonesiana</text>
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                <text>Interna Publishing</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>Internal medicine</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Diagnosing COVID-19: “Did We Miss Anything?”</text>
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                <text>Eric Daniel Tenda, Moses Mazmur Asaf</text>
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            <description>An account of the resource</description>
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                <text>In late 2019, a mass of patients showing symptoms of a pneumonia-like disease of unknown origin emerged in Wuhan, China. Little did the world know it was the prelude of what would be a devastating pandemic. Samples were collected from these patients and the use of unbiased sequencing, and subsequent isolation of the pathogen using human airway epithelial cells led to the discovery of a novel coronavirus, named 2019-nCoV by the World Health Organization (WHO) and Severe Acute Respiratory Syndrome CoronaVirus-2 (SARS-CoV-2) by the International Committee on Taxonomy of Viruses. The disease caused by this virus is officially called the coronavirus disease 2019 (COVID-19).</text>
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                <text>Internal medicine, respirology</text>
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                <text>Acta Medica Indonesiana</text>
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                <text>Interna Publishing</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>Internal medicine</text>
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            <description>A language 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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          <element elementId="50">
            <name>Title</name>
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                <text>Évacuation massive des populations en temps d’épidémie de COVID-19 : comment éviter la sur-crise ?</text>
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                <text>Éric Daudé, Delphine Grancher, Franck Lavigne</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>This paper offers a reflection on the constraints imposed by the focus of the management of the pandemic at the global level and of the epidemic at the level of the territories on the preparation and anticipation of new threats, such as natural hazards.</text>
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                <text>2021</text>
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              <elementText elementTextId="56372">
                <text>Pandemic, multihazards, multi crisis, population evacuation</text>
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            <name>Identifier</name>
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                <text>10.4000/echogeo.20961</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="56375">
                <text>Korean Society of Epidemiology</text>
              </elementText>
            </elementTextContainer>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Geography (General)</text>
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        <src>https://www.socictopen.socict.org/files/original/80ff8675f21b1e748d0783369f2d8733.pdf</src>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <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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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Feasibility of using alternative swabs and storage solutions for paired SARS-CoV-2 detection and microbiome analysis in the hospital environment</text>
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          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="73050">
                <text>Eric E. Allen, Rob Knight, Jeremiah J. Minich, Farhana Ali, Clarisse Marotz, Pedro Belda-Ferre, Leslie Chiang, Justin P. Shaffer, Carolina S. Carpenter, Daniel McDonald, Jack Gilbert, Sarah M. Allard, Daniel A. Sweeney, Austin D. Swafford</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="73051">
                <text>Abstract Background Determining the role of fomites in the transmission of SARS-CoV-2 is essential in the hospital setting and will likely be important outside of medical facilities as governments around the world make plans to ease COVID-19 public health restrictions and attempt to safely reopen economies. Expanding COVID-19 testing to include environmental surfaces would ideally be performed with inexpensive swabs that could be transported safely without concern of being a source of new infections. However, CDC-approved clinical-grade sampling supplies and techniques using a synthetic swab are expensive, potentially expose laboratory workers to viable virus and prohibit analysis of the microbiome due to the presence of antibiotics in viral transport media (VTM). To this end, we performed a series of experiments comparing the diagnostic yield using five consumer-grade swabs (including plastic and wood shafts and various head materials including cotton, synthetic, and foam) and one clinical-grade swab for inhibition to RNA. For three of these swabs, we evaluated performance to detect SARS-CoV-2 in twenty intensive care unit (ICU) hospital rooms of patients including COVID-19+ patients. All swabs were placed in 95% ethanol and further evaluated in terms of RNase activity. SARS-CoV-2 was measured both directly from the swab and from the swab eluent. Results Compared to samples collected in VTM, 95% ethanol demonstrated significant inhibition properties against RNases. When extracting directly from the swab head as opposed to the eluent, RNA recovery was approximately 2–4× higher from all six swab types tested as compared to the clinical standard of testing the eluent from a CDC-approved synthetic (SYN) swab. The limit of detection (LoD) of SARS-CoV-2 from floor samples collected using the consumer-grade plastic (CGp) or research-grade plastic The Microsetta Initiative (TMI) swabs was similar or better than the SYN swab, further suggesting that swab type does not impact RNA recovery as measured by the abundance of SARS-CoV-2. The LoD for TMI was between 0 and 362.5 viral particles, while SYN and CGp were both between 725 and 1450 particles. Lastly microbiome analyses (16S rRNA gene sequencing) of paired samples (nasal and floor from same patient room) collected using different swab types in triplicate indicated that microbial communities were not impacted by swab type, but instead driven by the patient and sample type. Conclusions Compared to using a clinical-grade synthetic swab, detection of SARS-CoV-2 from environmental samples collected from ICU rooms of patients with COVID was similar using consumer-grade swabs, stored in 95% ethanol. The yield was best from the swab head rather than the eluent and the low level of RNase activity and lack of antibiotics in these samples makes it possible to perform concomitant microbiome analyses. Video abstract</text>
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            <name>Date</name>
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                <text>2021</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="73053">
                <text>Global Health, covid-19, SARS-CoV-2, RT-qPCR, Swab</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="73054">
                <text>10.1186/s40168-020-00960-4</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="73055">
                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="73056">
                <text>Korean Society of Epidemiology</text>
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            </elementTextContainer>
          </element>
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