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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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                  <text>Dominio científico: Coronavirus</text>
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                <text>COVID-19, SOCIAL DISTANCING AND PUBLIC POLICIES</text>
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                <text>Roberto Alves Lourenço</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>None</text>
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            <name>Date</name>
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                <text>2020</text>
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            <name>Identifier</name>
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                <text>DOI: 10.5327/Z2447-212320202141EDT1</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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                <text>Geriatrics, Gerontology and Aging</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Brazilian Society of Geriatrics and Gerontology</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>
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              <elementText elementTextId="26491">
                <text>Public aspects of medicine, Nursing, Geriatrics</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>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>When predictions are used to allocate scarce health care resources: three considerations for models in the era of Covid-19</text>
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                <text>Richard R. Sharp, David M. Kent, Jessica K. Paulus, Negin Hajizadeh</text>
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                <text>Abstract Background The need for life-saving interventions such as mechanical ventilation may threaten to outstrip resources during the Covid-19 pandemic. Allocation of these resources to those most likely to benefit can be supported by clinical prediction models. The ethical and practical considerations relevant to predictions supporting decisions about microallocation are distinct from those that inform shared decision-making in ways important for model design. Main body We review three issues of importance for microallocation: (1) Prediction of benefit (or of medical futility) may be technically very challenging; (2) When resources are scarce, calibration is less important for microallocation than is ranking to prioritize patients, since capacity determines thresholds for resource utilization; (3) The concept of group fairness, which is not germane in shared decision-making, is of central importance in microallocation. Therefore, model transparency is important. Conclusion Prediction supporting allocation of life-saving interventions should be explicit, data-driven, frequently updated and open to public scrutiny. This implies a preference for simple, easily understood and easily applied prognostic models.</text>
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            <name>Date</name>
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                <text>2020</text>
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            <name>Subject</name>
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                <text>health care rationing, algorithmic fairness, COVID-19, Clinical prediction models</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="26497">
                <text>DOI: 10.1186/s41512-020-00079-y</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Diagnostic and Prognostic Research</text>
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                <text>BMC</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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              <elementText elementTextId="26500">
                <text>Medicine (General)</text>
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        <src>https://www.socictopen.socict.org/files/original/311a50e06f6b2553162d959734717446.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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              </elementTextContainer>
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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>Initial evidence on the relationship between the coronavirus pandemic and crime in the United States</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="26502">
                <text>Matthew P. J. Ashby</text>
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            <description>An account of the resource</description>
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                <text>Abstract The COVID-19 pandemic led to substantial changes in the daily activities of millions of Americans, with many businesses and schools closed, public events cancelled and states introducing stay-at-home orders. This article used police-recorded open crime data to understand how the frequency of common types of crime changed in 16 large cities across the United States in the early months of 2020. Seasonal auto-regressive integrated moving average (SARIMA) models of crime in previous years were used to forecast the expected frequency of crime in 2020 in the absence of the pandemic. The forecasts from these models were then compared to the actual frequency of crime during the early months of the pandemic. There were no significant changes in the frequency of serious assaults in public or (contrary to the concerns of policy makers) any change to the frequency of serious assaults in residences. In some cities, there were reductions in residential burglary but little change in non-residential burglary. Thefts of motor vehicles decreased in some cities while there were diverging patterns of thefts from motor vehicles. These results are used to make suggestions for future research into the relationships between the coronavirus pandemic and different crimes.</text>
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            <name>Date</name>
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              <elementText elementTextId="26504">
                <text>2020</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Crime, coronavirus, COVID-19, Crime trends</text>
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            <name>Identifier</name>
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              <elementText elementTextId="26506">
                <text>DOI: 10.1186/s40163-020-00117-6</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="26507">
                <text>Crime Science</text>
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                <text>BMC</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>Science (General), Social pathology. Social and public welfare. Criminology</text>
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        <src>https://www.socictopen.socict.org/files/original/32b29815ab80a353474ddb6bc3783f03.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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        <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>
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              <elementText elementTextId="26510">
                <text>Severe acute respiratory syndrome-coronavirus 2 and novel coronavirus disease 2019: An extraordinary pandemic</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Sheetu Singh, Bharat Bhushan Sharma</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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                <text>COVID-19 has emerged as one of the most significant illnesses of the current century. It is caused by severe acute respiratory syndrome coronavirus 2. The world was initially viewing it as a localized outbreak in Wuhan city of China; however, it started spreading quickly to other parts of the world. Globally, half-hearted containment measures and a false sense of safety against this novel coronavirus led to the dissemination of disease. Currently, no effective therapy or vaccine is available to manage this illness. After learning a huge lesson, global efforts would hopefully lead to effective control of this pandemic.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="26513">
                <text>2020</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="26514">
                <text>Pandemic, COVID-19, Severe Acute Respiratory Syndrome Coronavirus 2</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="26515">
                <text>DOI: 10.4103/lungindia.lungindia_170_20</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="26516">
                <text>Lung India</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="26517">
                <text>Wolters Kluwer Medknow Publications</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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              <elementText elementTextId="26518">
                <text>Diseases of the respiratory system</text>
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  <item itemId="2813" public="1" featured="0">
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        <src>https://www.socictopen.socict.org/files/original/d723c0079442ef4ecfd5830af02e19dd.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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        <name>Dublin Core</name>
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          <element elementId="50">
            <name>Title</name>
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                <text>Novel coronavirus disease 2019 and perinatal outcomes</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Morvarid Irani, Ali pakfetrat, Mahin Kiyani Mask</text>
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            <name>Description</name>
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                <text>BACKGROUND AND AIM: Given the prevalence of novel coronavirus disease 2019 (COVID-19) and the lack of information on coronavirus and pregnancy, the purpose of this study was to evaluate the association of COVID-19 and perinatal outcomes in pregnant women. MATERIALS AND METHODS: In the present review article, the search process was conducted on English and Persian scientific databases of PubMed, Scopus, Google Scholar, Magiran, Irandoc, Iranmedx, and SID as well as the websites of international organizations of World Health Organization and Centers for Disease Control and Prevention using the main keywords of “Pregnancy,” “Perinatal outcomes,” “Coronavirus,” “COVID-19,” “MERS-CoV,” “MERS,” “SARS-CoV-2,” and “SARS-CoV-1” and their Persian-equivalent keywords from inception until March 16 2020. RESULTS: The findings of studies on mothers with COVID-19 were limited, and insufficient information is available on the adverse pregnancy outcomes in pregnant women with COVID-19. In cases of infection with other coronaviruses such as Middle East respiratory syndrome and severe acute respiratory syndrome during pregnancy, there have been reports on adverse pregnancy outcomes such as miscarriage, stillbirth, preterm labor, low birth weight, and congenital malformations following high fever in the first trimester. CONCLUSION: Pregnant women may be more susceptible to viral respiratory infections, including COVID-19, due to immunological and physiological changes. Therefore, pregnant women should take routine preventive measures, such as washing their hands frequently and avoiding contact with infected people, to prevent infection.</text>
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                <text>Abstract PEM-Database.org is an unaffiliated, not-for-profit website, dedicated to the field’s advancement of pediatric emergency medicine. PEM-Database published the first early access pediatric-related SARS-CoV-2 articles on March 13th, two days following the World Health Organization’s declaration of a global pandemic. Over the following 2 weeks, the number of PEM-Database entries increased dramatically. This surge expresses interest by pediatric emergency medicine physicians in data on pediatric SARS-CoV-2 infection.</text>
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                <text>Severe Acute Respiratory Syndrome Coronavirus Type 2 (SARS-CoV-2) affects people at all ages and it may be encountered in pregnant women and newborns also. The information about its clinical features, laboratory findings and prognosis in children and newborns is scarce. All the reported cases in pregnant women were in the 2nd or 3rd trimester and only 1% of them developed severe disease. Miscarriages are rare. Materno-fetal transmission of the disease is controversial. Definitive diagnosis can be made by a history of contact with a proven case, fever, pneumonia and gastrointestinal disorder and a Polymerase chain reaction (PCR) test of nasopharyngeal swabs. Lymphopenia as well as liver and renal dysfunctions may be seen. Suspected or proven cases of newborns with symptoms should be quarantined in the neonatal intensive care unit for at least 14 days with standart and droplet isolation precautions. Asymptomatic infants may be quaratined at home. Transport of the neonates should be performed in a dedicated transport incubator and ambulance with isolation precautions. There is no specific treatment for the disease, but hemodynamic stabilization of the infant, respiratory management and other daily care are essential. Drugs against cytokine storm syndrome such as corticosteroids or tocilizumab are under investigation. Routine antibiotics are not recommended. No deaths have been reported so far in the neonatal population. Families and healthcare staff should receive pyschological support. Since the infection is quite new and knowledge is constantly accumulating, following developments and continuous updates are crucial.</text>
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                <text>Frontiers in Pediatrics</text>
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                <text>Frontiers Media S.A.</text>
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                <text>Who doesn't have an opinion about hydroxychloroquine? The recent developments of the latest research in Marseilles on the potential of this antimalarial drug to reduce the viral load of SARS-CoV-2 have been heating up. Obviously, the current pandemic is a sudden and unprecedented health crisis. Unexpectedness and scale are turning the outbreak into widespread panic: science is summoned to find solutions as soon as possible. In a sense, the worldwide situation is a way of asking how fast can science go. The famed publication from Didier Raoult's group 2 allows us to highlight an evolution in peer review practices, and this trend allows us to question what it means to be open" in science."</text>
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                <text>DOI: 10.13128/Substantia-937</text>
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                <text>Chemistry, History (General) and history of Europe</text>
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                <text>DOI: 10.5267/j.msl.2020.5.024</text>
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            <name>Source</name>
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                <text>International Journal of Industrial Engineering Computations</text>
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                <text>Growing Science</text>
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