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                <text>Understanding the survivorship burden of long COVID.</text>
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                <text>10.1016/j.eclinm.2021.100767</text>
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                <text>Understanding Unreported Cases in the COVID-19 Epidemic Outbreak in Wuhan, China, and the Importance of Major Public Health Interventions</text>
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                <text>Zhihua Liu, Pierre Magal, Ousmane Seydi, Glenn Webb</text>
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                <text>We develop a mathematical model to provide epidemic predictions for the COVID-19 epidemic in Wuhan, China. We use reported case data up to 31 January 2020 from the Chinese Center for Disease Control and Prevention and the Wuhan Municipal Health Commission to parameterize the model. From the parameterized model, we identify the number of unreported cases. We then use the model to project the epidemic forward with varying levels of public health interventions. The model predictions emphasize the importance of major public health interventions in controlling COVID-19 epidemics.</text>
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                <text>coronavirus, reported and unreported cases, isolation, quarantine, public closings, epidemic mathematical model</text>
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                <text>DOI: 10.3390/biology9030050</text>
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                <text>Biology</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Understanding Viral Transmission Behavior via Protein Intrinsic Disorder Prediction: Coronaviruses</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Vladimir N. Uversky, A Keith Dunker, Gerard Kian-Meng Goh</text>
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            <description>An account of the resource</description>
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                <text>Besides being a common threat to farm animals and poultry, coronavirus (CoV) was responsible for the human severe acute respiratory syndrome (SARS) epidemic in 2002–4. However, many aspects of CoV behavior, including modes of its transmission, are yet to be fully understood. We show that the amount and the peculiarities of distribution of the protein intrinsic disorder in the viral shell can be used for the efficient analysis of the behavior and transmission modes of CoV. The proposed model allows categorization of the various CoVs by the peculiarities of disorder distribution in their membrane (M) and nucleocapsid (N). This categorization enables quick identification of viruses with similar behaviors in transmission, regardless of genetic proximity. Based on this analysis, an empirical model for predicting the viral transmission behavior is developed. This model is able to explain some behavioral aspects of important coronaviruses that previously were not fully understood. The new predictor can be a useful tool for better epidemiological, clinical, and structural understanding of behavior of both newly emerging viruses and viruses that have been known for a long time. A potentially new vaccine strategy could involve searches for viral strains that are characterized by the evolutionary misfit between the peculiarities of the disorder distribution in their shells and their behavior.</text>
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                <text>2012</text>
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            <description>An unambiguous reference to the resource within a given context</description>
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                <text>DOI: 10.1155/2012/738590</text>
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              <elementText elementTextId="27316">
                <text>Journal of Pathogens</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Hindawi Limited</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="27318">
                <text>Infectious and parasitic diseases, Microbiology</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>
      <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>Undertaking a high stakes virtual OSCE (“VOSCE”) during Covid-19</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Jenny Blythe, Nimesh S. A. Patel, Will Spiring, Graham Easton, Dason Evans, Egle Meskevicius-Sadler, Hassan Noshib, Heather Gordon</text>
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                <text>Abstract Background The Covid pandemic and associated lockdown forced medical schools globally not only to deliver emergency remote teaching, but to consider alternative methods of high stakes assessment. Here we outline our approach to the resit virtual OSCE (“VOSCE”) for final year medical students that we undertook during “lockdown” in the current pandemic. Methods The original ‘pre Covid’ examination blueprint was reviewed and modified for the virtual environment in both format and content. In anticipation of the new format delivery, a number of pre-training sessions took place for all parties, and standardised templates were developed. Results A total of 9 students undertook the VOSCE, which took the form of a two-part exam (a communication and clinical examination component, and a practical procedures component). The VOSCE was completed by all students, examiners, simulated patients and invigilators on an online digital platform with no issues with regards to technical problems. Conclusions A total of 6 students passed the VOSCE and as such progressed to graduation. The limitation of assessing some particular types of skills across the remote format (such as practical procedures) was recognised. The training and the templates developed were helpful in case the VOSCE format needs to be adopted in future at short notice and/or expanded in future.</text>
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                <text>2021</text>
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                <text>medical students, assessment, virtual, OSCE, remote</text>
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            <name>Identifier</name>
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                <text>10.1186/s12909-021-02660-5</text>
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                <text>Epidemiology and Health</text>
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                <text>Korean Society of Epidemiology</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="76394">
                <text>Medicine, Special aspects of education</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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                <text>Unemployment and Psychological Distress among Young People during the COVID-19 Pandemic: Psychological Resources and Risk Factors</text>
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                <text>Netta Achdut, Tehila Refaeli</text>
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                <text>In the wake of COVID-19, unemployment and its potential deleterious consequences have attracted renewed interest. We examined (1) the association between unemployment, occurring upon the coronavirus outbreak, and psychological distress among Israeli young people (20–35-years-old); (2) the associations between various psychological resources/risk factors and psychological distress; and (3) whether these resources and risk factors were moderators in the unemployment-psychological distress link. A real-time survey based on snowball sampling was conducted during the month of April 2020 (N = 390). We employed hierarchical linear models to explore associations between unemployment, psychological resources, risk factors, and psychological distress. Unemployment was independently associated with greater psychological distress. Perceived trust, optimism, and sense of mastery decreased psychological distress, whereas financial strain and loneliness during the crisis increased this distress. The effect of unemployment on psychological distress did not depend on participants’ resource and risk factor levels. Policymakers must develop and extend health initiatives aimed at alleviating the mental health consequences of COVID-19-related unemployment and promote labor market interventions to help young job seekers integrate into employment. These measures, which are in line with the UN sustainable development goals, should be seen as an important route to promote public health.</text>
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                <text>2020</text>
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                <text>covid-19, psychological distress, Risk factors, unemployment, psychological resources</text>
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                <text>10.3390/ijerph17197163</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>Medicine</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <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>Title</name>
            <description>A name given to the resource</description>
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                <text>Unemployment, Employability and COVID19: How the Global Socioeconomic Shock Challenged Negative Perceptions Toward the Less Fortunate in the Australian Context</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="69311">
                <text>Aino Suomi, Aino Suomi, Timothy P. Schofield, Peter Butterworth, Peter Butterworth</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Unemployed benefit recipients are stigmatized and generally perceived negatively in terms of their personality characteristics and employability. The COVID19 economic shock led to rapid public policy responses across the globe to lessen the impact of mass unemployment, potentially shifting community perceptions of individuals who are out of work and rely on government income support. We used a repeated cross-sections design to study change in stigma tied to unemployment and benefit receipt in a pre-existing pre-COVID19 sample (n = 260) and a sample collected during COVID19 pandemic (n = 670) by using a vignette-based experiment. Participants rated attributes of characters who were described as being employed, working poor, unemployed or receiving unemployment benefits. The results show that compared to employed characters, unemployed characters were rated substantially less favorably at both time points on their employability and personality traits. The difference in perceptions of the employed and unemployed was, however, attenuated during COVID19 with benefit recipients perceived as more employable and more Conscientious than pre-pandemic. These results add to knowledge about the determinants of welfare stigma highlighting the impact of the global economic and health crisis on perception of others.</text>
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                <text>2020</text>
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            <description>The topic of the resource</description>
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                <text>covid-19, unemployment, personality, Public Policy, big five, Employability</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="69315">
                <text>10.3389/fpsyg.2020.594837</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="69316">
                <text>Epidemiology and Health</text>
              </elementText>
            </elementTextContainer>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="69317">
                <text>Korean Society of Epidemiology</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="69318">
                <text>Psychology</text>
              </elementText>
            </elementTextContainer>
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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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                <elementText elementTextId="2">
                  <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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              <elementText elementTextId="3146">
                <text>Unexpected diversity of cellular immune responses against Nef and Vif in HIV-1-infected patients who spontaneously control viral replication.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="3147">
                <text>Leandro F Tarosso, Mariana M. Sauer, Sabri Sanabani, Maria Teresa Giret, Helena I. Tomiyama, John Sidney, Shari M. Piaskowski, Ricardo S. Diaz, Ester C. Sabino, Alessandro Sette, Jorge Kalil Filho, David I. Watkins, Esper G Kallas</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="3148">
                <text>HIV-1-infected individuals who spontaneously control viral replication represent an example of successful containment of the AIDS virus. Understanding the anti-viral immune responses in these individuals may help in vaccine design. However, immune responses against HIV-1 are normally analyzed using HIV-1 consensus B 15-mers that overlap by 11 amino acids. Unfortunately, this method may underestimate the real breadth of the cellular immune responses against the autologous sequence of the infecting virus.Here we compared cellular immune responses against nef and vif-encoded consensus B 15-mer peptides to responses against HLA class I-predicted minimal optimal epitopes from consensus B and autologous sequences in six patients who have controlled HIV-1 replication. Interestingly, our analysis revealed that three of our patients had broader cellular immune responses against HLA class I-predicted minimal optimal epitopes from either autologous viruses or from the HIV-1 consensus B sequence, when compared to responses against the 15-mer HIV-1 type B consensus peptides.This suggests that the cellular immune responses against HIV-1 in controller patients may be broader than we had previously anticipated.</text>
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            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>2010</text>
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                <text>DOI: 10.1371/journal.pone.0011436</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="3151">
                <text>PLoS ONE</text>
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            <description>An entity responsible for making the resource available</description>
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                <text>Public Library of Science (PLoS)</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, Medicine</text>
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            <description>A language of the resource</description>
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                <text>EN</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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      <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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            <description>A name given to the resource</description>
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                <text>Unexpected endemism in the Daphnia longispina complex (Crustacea: Cladocera) in Southern Siberia.</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Elena I. Zuykova, Nickolai A Bochkarev, Derek J. Taylor, Alexey A. Kotov</text>
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                <text>The biological significance of regional cladoceran morphotypes in the montane regions of the central Palearctic remains poorly understood. In the Holarctic Daphnia longispina complex (Cladocera: Daphniidae), several variants, lineages and species have been proposed as endemic for Southern Siberia. Daphnia turbinata Sars, for example, named after its unusual head shape, is known only from Southern Siberia. Here we sequence DNA of Daphnia from three mitochondrial genes (12S rRNA, 16S rRNA, and NADH dehydrogenase subunit 2, ND2) from 57 localities in Russia and Mongolia (the majority being from Southern Siberia) and place them in evolutionary context with existing data. Our aim was to examine regional endemism of the Daphnia longispina complex in Southern Siberian; to improve the phylogenetic understanding with improved taxonomic and regional sampling, and to better understand the influence of Pleistocene glaciation on the biogeography of these lineages. At least three lineages showed genetic evidence for endemism in Southern Siberia. There was strong support for D. turbinata as a sister lineage to to D. longispina/D. dentifera. Another endemic, Siberian D. cf. longispina, is a sister group to the longispina group in general. Within D. longispina s. str. there was an endemic Siberian clade with a western range boundary near the Yenisei River Basin. Gene flow estimates among populations (based on FST values) were very low for clades of D. longispina on a regional (the original 12S dataset), and on a pan-Eurasian (the extended 12S dataset) scale. Negative values of Fu's FS and Tajima's D tests prevailed for the species examined with significant values found for two D. longispina clades, D. dentifera, D. galeata and D. cristata. Our results support the notion that Southern Siberia is an important biogeographic region for cladocerans as it contained unexpected diversity of endemics (such as D. turbinata, D. cf. longispina and lineages of D. umbra and D. longsipina s.str.) and from being the geographic meeting place of expanding postglacial lineages from eastern and western refugia.</text>
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                <text>2019</text>
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            <description>An unambiguous reference to the resource within a given context</description>
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                <text>DOI: 10.1371/journal.pone.0221527</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="13402">
                <text>PLoS ONE</text>
              </elementText>
            </elementTextContainer>
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            <description>An entity responsible for making the resource available</description>
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                <text>Public Library of Science (PLoS)</text>
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              <name>Title</name>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Unexpected Presentation of COVID-19 in a 38-Year-Old Male Patient: A Case Report</text>
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                <text>Narges Malih, Ghazal Hajinasrollah, Marjan Zare, Mahboobeh Taheri</text>
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                <text>We presently report the case of COVID-19 in a 38-year-old male who had come to the primary health care clinic of Shahid Beheshti University of Medical Sciences, which specializes in the COVID-19 epidemic. He reported having fatigue, myalgia, fever, rash, and loss of taste and smell. The physical findings were maculopapular rash over his trunk, inguinal regions, and left arm, erythema of larynx with an aphthous lesion on left tonsil, he did not have a fever, and respiratory distress symptoms. There were no changes regarding COVID-19 in the spiral lung CT scan. However, the result of PCR for COVID-19 RNA was positive.</text>
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                <text>2020</text>
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                <text>infections, covid-19, SARS-CoV-2, Rash</text>
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            <name>Identifier</name>
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                <text>10.1159/000509994</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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            <description>An entity responsible for making the resource available</description>
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                <text>Korean Society of Epidemiology</text>
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            </elementTextContainer>
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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>Dermatology</text>
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              <name>Title</name>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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      <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>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="33805">
                <text>Unfolding Events in Space and Time: Geospatial Insights into COVID-19 Diffusion in Washington State during the Initial Stage of the Outbreak</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="33806">
                <text>Vaishnavi Thakar</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="33807">
                <text>The world witnessed the COVID-19 pandemic in 2020. The first case of COVID-19 in the United States of America (USA) was confirmed on 21 January 2020, in Snohomish County in Washington State (WA). Following this, a rapid explosion of COVID-19 cases was observed throughout WA and the USA. Lack of access to publicly available spatial data at finer scales has prevented scientists from implementing spatial analytical techniques to gain insights into the spread of COVID-19. Datasets were available only as counts at county levels. The spatial response to COVID-19 using coarse-scale publicly available datasets was limited to web mapping applications and dashboards to visualize infected cases from state to county levels only. This research approaches data availability issues by creating proxy datasets for COVID-19 using publicly available news articles. Further, these proxy datasets are used to perform spatial analyses to unfolding events in space and time and to gain insights into the spread of COVID-19 in WA during the initial stage of the outbreak. Spatial analysis of theses proxy datasets from 21 January to 23 March 2020, suggests the presence of a clear space–time pattern. From 21 January to 6 March, a strong presence of community spread of COVID-19 is observed only in close proximity of the outbreak source in Snohomish and King Counties, which are neighbors. Infections diffused to farther locations only after a month, i.e., 6 March. The space–time pattern of diffusion observed in this study suggests that implementing strict social distancing measures during the initial stage in infected locations can drastically help curb the spread to distant locations.</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="33808">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="33809">
                <text>geospatial, Washington, space–time, social distancing, 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="33810">
                <text>DOI: 10.3390/ijgi9060382</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="33811">
                <text>ISPRS International Journal of Geo-Information</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="33812">
                <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="33813">
                <text>Geography (General)</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
</itemContainer>
