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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Geographic Distribution of MERS Coronavirus among Dromedary Camels, Africa</text>
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                <text>Chantal B. E. M. Reusken, Bart L. Haagmans, Gert-Jan Godeke, Marion P. G. Koopmans, David Shamaki, Ilse Zutt, Lilia Messadi, Berend-Jan Bosch, Fufa Dawo, Endrias Zewdu Gebremedhin, Ashenafi Feyisa, Hussaini Ularamu, Agom Danmarwa, Mohamed Jemli, Simenew Melaku, Yusuf Woma, Yiltawe Wungak</text>
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            <description>An account of the resource</description>
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                <text>We found serologic evidence for the circulation of Middle East respiratory syndrome coronavirus among dromedary camels in Nigeria, Tunisia, and Ethiopia. Circulation of the virus among dromedaries across broad areas of Africa may indicate that this disease is currently underdiagnosed in humans outside the Arabian Peninsula.</text>
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                <text>2014</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Pneumonia, Zoonoses, Middle East respiratory syndrome, MERS, Coronaviridae, betacoronavirus</text>
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            <name>Identifier</name>
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                <text>DOI: 10.3201/eid2008.140590</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>Emerging Infectious Diseases</text>
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                <text>Centers for Disease Control and Prevention</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>Infectious and parasitic diseases, Medicine</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>Title</name>
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                <text>Geographic Factors Associated with Poorer Outcomes in Patients Diagnosed with COVID-19 in Primary Health Care</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Rosa Magallón-Botaya, Bárbara Oliván-Blázquez, Karen Lizzette Ramírez-Cervantes, Fátima Méndez-López-de-la-Manzanara, Isabel Aguilar-Palacio, Marc Casajuana-Closas, Eva Andrés-Esteban</text>
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            <description>An account of the resource</description>
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                <text>Background: The prognosis of older age COVID-19 patients with comorbidities is associated with a more severe course and higher fatality rates but no analysis has yet included factors related to the geographical area/municipality in which the affected patients live, so the objective of this study was to analyse the prognosis of patients with COVID-19 in terms of sex, age, comorbidities, and geographic variables. Methods: A retrospective cohort of 6286 patients diagnosed with COVID-19 was analysed, considering demographic data, previous comorbidities and geographic variables. The main study variables were hospital admission, intensive care unit (ICU) admission and death due to worsening symptoms; and the secondary variables were sex, age, comorbidities and geographic variables (size of the area of residence, distance to the hospital and the driving time to the hospital). A comparison analysis and a multivariate Cox model were performed. Results: The multivariate Cox model showed that women had a better prognosis in any type of analysed prognosis. Most of the comorbidities studied were related to a poorer prognosis except for dementia, which is related to lower admissions and higher mortality. Suburban areas were associated with greater mortality and with less hospital or ICU admission. Distance to the hospital was also associated with hospital admission. Conclusions: Factors such as type of municipality and distance to hospital act as social health determinants. This fact must be taken account in order to stablish specifics prevention measures and treatment protocols.</text>
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                <text>2021</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>covid-19, Outcomes, PRIMARY HEALTH CARE, Geographic factors</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/ijerph18073842</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="78780">
                <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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                <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>
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        <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="36805">
                <text>Geographic Information and Covid-19 Outbreak Does the spatial dimension matter?</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="36806">
                <text>Michele Campagna</text>
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            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="36807">
                <text>The Covid-19 pandemic in Europe started its outbreak in Italy in January 2020, and since early March 2020, it rapidly spread in most European Countries with growing diffusion rates. EU Countries applied lock-down measures accordingly. While Government across Europe relied in experts’ advice, scientific advisory teams were often lead by virologists and epidemiologists, and no evidence is easily found about the involvement of experts in spatial planning and design in emergency response. Often in the uncertainty of a new hazard emergency response, lock-down measures were based on national or regional scale planning, applying to large administrative units boundaries with little or no local differentiations.  This paper argues that a large-scale approach may be more effective in emergency response planning and management as it may better take into account local variations. This approach might be an important and still missing step for balancing the conflict between the two most urgent goals in the current emergency response: public health and safety vs economy re-start after the emergency lock-down.</text>
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          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="36808">
                <text>2020</text>
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          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="36809">
                <text>Emergency Response, Geodesign, geographic information, Planning Support Systems (PSS), COVID-19</text>
              </elementText>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="36810">
                <text>DOI: 10.6092/1970-9870/6850</text>
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          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="36811">
                <text>TeMA: Journal of Land Use, Mobility and Environment</text>
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          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="36812">
                <text>Università di Napoli Federico II</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="36813">
                <text>Transportation engineering, Urbanization. City and country</text>
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  <item itemId="19999" public="1" featured="0">
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Agricultura sostenible</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Agricultura sostenible</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>Geographic variation in diversity of wave exposed rocky intertidal communities along central Chile Variación geográfica de la biodiversidad en hábitats intermareales rocosos de Chile central</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>BERNARDO R BROITMAN, FREDY VÉLIZ, TATIANA MANZUR, EVIE A WIETERS, G RANDALL FINKE, PAULINA A FORNES, NELSON VALDIVIA, SERGIO A NAVARRETE</text>
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            <description>An account of the resource</description>
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                <text>Along the coast of central Chile, geographic trends of diversity have been inferred from literature compilations and museum collections based on species range limits for some taxonomic groups. However, spatially-intensive field-based assessments of macrobenthic species richness are largely missing. Over the course of a multiyear study (1998-2005), we characterized latitudinal patterns of rocky intertidal diversity at 18 sites along the coast of central Chile (29-36° S). At each site, the number of sessile and mobile macrobenthic species was quantified in 0.25 m² quadrats. Two estimators of local (alpha) diversity were used: observed local species richness, calculated from the asymptote of a species-rarefaction curve, and the Chao2 index, which takes into account the effect of rare species on estimates of local richness. We identified a total of 71 species belonging to 66 genera for a total of 86 taxa. The most diverse groups were herbivorous mollusks (27 taxa) and macroalgae (43 taxa). Diversity showed a complex spatial pattern with areas of high species richness interspersed with areas of low richness. In accordance with previous work, we found no trend in the number of herbivorous mollusks and an inverse and significant latitudinal gradient in the number of algal species. Our results highlight the need for taxonomically diverse assessments of biodiversity of the dominant taxa that conform intertidal communities.A lo largo de la costa de Chile central, los patrones geográficos de diversidad han sido inferidos a partir de revisiones literarias y colecciones de museos para algunos grupos taxonómicos. Sin embargo, aun no contamos con una evaluación integral, y en terreno, de la riqueza de especies macrobentónicas intermareales. En un estudio de largo plazo conducido entre 1998 y 2005 caracterizamos los patrones latitudinales en la biodiversidad del intermareal rocoso en 18 sitios a lo largo de la costa de Chile central (29-36° S). En cada sitio, el número de especies sésiles y móviles fue cuantificado en cuadrantes de 0.25 m². Usamos dos estimadores de la riqueza de especies: la riqueza local observada, correspondiente a la asíntota de la curva de acumulación de especies, y el índice Chao2, el cual considera el efecto de especies raras en la estimación de la diversidad local. Identificamos 71 especies pertenecientes a 66 géneros y a un total de 86 taxa. Los grupos más diversos fueron moluscos (27 taxa) y macroalgas (43 taxa). La riqueza de especies mostró un patrón complejo en el cual áreas de alta riqueza específica aparecieron intercaladas con áreas de baja riqueza. Además, observamos una alta variabilidad espacial en el número de especies herbívoras y un patrón latitudinal inverso en el número de especies algales. Nuestros resultados apuntan a la necesidad de incorporar una variedad de grupos taxonómicos y un rango de escalas espaciales en estudios de biodiversidad.</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="170150">
                <text>2011</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="170151">
                <text>Diversidad, Intertidal ecology, biological diversity, ecología intermareal, gradientes latitudinales en diversidad, latitudinal diversity gradient, riqueza de especies, species richness</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="170152">
                <text>Revista Chilena de Historia Natural</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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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>Botany, Zoology</text>
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            <name>Relation</name>
            <description>A related resource</description>
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                <text>&lt;a href="http://www.scielo.cl/scielo.php?script=sci_arttext&amp;amp;pid=S0716-078X2011000100011" target="_blank" rel="noreferrer noopener"&gt;http://www.scielo.cl/scielo.php?script=sci_arttext&amp;amp;pid=S0716-078X2011000100011&lt;/a&gt;</text>
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              <name>Title</name>
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                  <text>Coronavirus</text>
                </elementText>
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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>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="15556">
                <text>Geographical Accessibility to Glucose-6-Phosphate Dioxygenase Deficiency Point-of-Care Testing for Antenatal Care in Ghana</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="15557">
                <text>Desmond Kuupiel, Kwame M. Adu, Vitalis Bawontuo, Duncan A. Adogboba, Paul K. Drain, Mosa Moshabela, Tivani P. Mashamba-Thompson</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Background: Glucose-6-Phosphate Dehydrogenase (G6PD) deficiency screening test is essential for malaria treatment, control, and elimination programs. G6PD deficient individuals are at high risk of severe hemolysis when given anti-malarial drugs such as primaquine, quinine, other sulphonamide-containing medicines, and chloroquine, which has recently been shown to be potent for the treatment of coronavirus disease (COVID-19). We evaluated the geographical accessibility to POC testing for G6PD deficiency in Ghana, a malaria-endemic country. Methods: We obtained the geographic information of 100 randomly sampled clinics previously included in a cross-sectional survey. We also obtained the geolocated data of all public hospitals providing G6PD deficiency testing services in the region. Using ArcGIS 10.5, we quantified geographical access to G6PD deficiency screening test and identified clinics as well as visualize locations with poor access for targeted improvement. The travel time was estimated using an assumed speed of 20 km per hour. Findings: Of the 100 clinics, 58% were Community-based Health Planning and Services facilities, and 42% were sub-district health centers. The majority (92%) were Ghana Health Service facilities, and the remaining 8% were Christian Health Association of Ghana facilities. Access to G6PD deficiency screening test was varied across the districts, and G6PD deficiency screening test was available in all eight public hospitals. This implies that the health facility-to-population ratio for G6PD deficiency testing service was approximately 1:159,210 (8/1,273,677) population. The spatial analysis quantified the current mean distance to a G6PD deficiency testing service from all locations in the region to be 34 ± 14 km, and travel time (68 ± 27 min). The estimated mean distance from a clinic to a district hospital for G6PD deficiency testing services was 15 ± 11 km, and travel time (46 ± 33 min). Conclusion: Access to POC testing for G6PD deficiency in Ghana was poor. Given the challenges associated with G6PD deficiency, it would be essential to improve access to G6PD deficiency POC testing to facilitate administration of sulphadoxine-pyrimethamine to pregnant women, full implementation of the malaria control program in Ghana, and treatment of COVID-19 patients with chloroquine in malaria-endemic countries. To enable the World Health Organization include appropriate G6PD POC diagnostic tests in its list of essential in-vitro diagnostics for use in resource-limited settings, we recommend a wider evaluation of available POC diagnostic tests for G6PD deficiency, particularly in malaria-endemic countries.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="15559">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="15560">
                <text>Geographical access, Glucose-6-Phosphate dioxygenase deficiency, Point-of care testing, antenatal care, upper east region, Ghana</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="15561">
                <text>DOI: 10.3390/diagnostics10040229</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="15562">
                <text>Diagnostics</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="15563">
                <text>MDPI AG</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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                <text>Medicine (General)</text>
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            </elementTextContainer>
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            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="15565">
                <text>EN</text>
              </elementText>
            </elementTextContainer>
          </element>
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          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
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      </elementSetContainer>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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    <elementSetContainer>
      <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>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="36744">
                <text>Geographical analyses of Covid-19's spreading contagion in the challenge of global health risks</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="36745">
                <text>Beniamino Murgante, Giuseppe Borruso, Ginevra Balletto, Paolo Castiglia, Marco Dettori, Giuseppe Las Casas</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="36746">
                <text>This research develops from a set of basic geographical questions about the outbreak of Covid-19 out of China in Europe. The questions dealt with why and why with such strength Italy has been seriously hit, one of the most important cases in terms of death toll out of Hubei Province and mainland China, in the world, making the country a worldwide study case for epidemic concentration and diffusion. Questions were also related to geographical similarities among the areas hit, and particularly the Po Valley region and Wuhan metropolitan region in Hubei province, and also related to why such a divide of the virus spreading was identified in Italy between Northern and Central and Southern regions and provinces. In order to try to give an answer these questions, authors realized a vast and articulated database of indicators at provincial level in Italy, performing several geographical analyses - ecological approach - based on Spatial autocorrelation and Geographical Weighted Regression, coming to the conclusion that aspects such as land take, pollution can seriously influence the phenomenon and justify a pattern as that observable in Italy. The analyses and observation of the phenomenon also suggests that policies based on urban regeneration, sustainable mobility, green infrastructures, ecosystem services can create a more sustainable scenario able to support the quality of public health.</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="36747">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="36748">
                <text>Italy, pollution, Particulate matter, Land Take, Po Valley, COVID-19, spatial diffusion processes</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="36749">
                <text>DOI: 10.6092/1970-9870/6849</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="36750">
                <text>TeMA: Journal of Land Use, Mobility and Environment</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="36751">
                <text>Università di Napoli Federico II</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="36752">
                <text>Transportation engineering, Urbanization. City and country</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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    </elementSetContainer>
  </item>
  <item itemId="4611" public="1" featured="0">
    <fileContainer>
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        <src>https://www.socictopen.socict.org/files/original/d4afd683095a1463ac60b804f7cf25f2.pdf</src>
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          <name>Dublin Core</name>
          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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      <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>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="41718">
                <text>Geographical and Epidemiological Characteristics of 3,487 Confirmed Cases With COVID-19 Among Healthcare Workers in China</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="41719">
                <text>Weiguo Xu, Maohui Feng, Zhixiao Li, Jun Xiong, Boqi Xiang</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="41720">
                <text>As the first area to report the outbreak, China used to be the front line of the battle against the novel coronavirus SARS-CoV-2. The present descriptive analysis of 3,487 COVID-19-confirmed cases with health workers reported through April 30, 2020 offers important new information to the international community on the epidemic in China. These data showed that Chinese measures including the high-grade protective gear used, mask wearing, and social distancing, are effective in reducing transmission in hospitals.</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="41721">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="41722">
                <text>severe acute respiratory syndrome coronavirus 2, Human-to-human transmission, COVID-19 disease, Health workers, scientific protective measures</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="41723">
                <text>10.3389/fpubh.2020.586736</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="41724">
                <text>Epidemiology and Health</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="41725">
                <text>Korean Society of Epidemiology</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="41726">
                <text>Public aspects of medicine</text>
              </elementText>
            </elementTextContainer>
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  </item>
  <item itemId="27701" public="1" featured="0">
    <fileContainer>
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        <src>https://www.socictopen.socict.org/files/original/4cc85f893b56f271c056cfc754bbdcd6.pdf</src>
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          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="88121">
                  <text>Agricultura sostenible</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                <elementText elementTextId="88122">
                  <text>Dominio científico: Agricultura sostenible</text>
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              </elementTextContainer>
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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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    <elementSetContainer>
      <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>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="242025">
                <text>Geographical quantification of the generation of construction and demolition waste (CDW) in new construction = Cuantificación geográfica de generación de residuos de construcción demolición (RCD) en obra nueva</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="242026">
                <text>José Fernández Castillo, Juán López-Asiaín Martínez, Helena Granados Martínez, Alejandro Payán  de Tejada Alonso</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="242027">
                <text>Es objetivo de la Unión Europea y de todos sus estados miembros, potenciar la economía circular en todos los sectores. En 2015, la Comi-sión Europea adoptó un plan de acción para contribuir a la transición hacia una economía circular, estableciendo 54 medidas para 'cerrar el círculo' del ciclo de vida de los productos: de la producción y el consumo a la gestión de residuos y el mercado de materias primas secundarias. Sin duda la gestión adecuada de los residuos de construcción demolición es fundamental en este proceso, ya que significan a aproximadamente un tercio de los residuos generados en la Unión. El Gobierno de España también ha trabajado en esta dirección con la Estrategia Española de Economía Circular, “España Circular 2030”, en la que uno de sus ejes principales de actuación es la gestión de residuos, en la que, entre otros objetivos, se propone la revisión del RD 105/2008 por el que se regula la producción y gestión de los residuos de construcción y demolición y que proporciona el marco legal a esta gestión de RCD en la edificación, a través de herramientas como el estudio y el plan de gestión de RCD.  Una de las deficiencias más habituales detectadas por los agentes del sector, es no contar con unos ratios orientativos consistentes de generación de RCD que faciliten la elaboración de estos documentos preceptivos, así como el seguimiento de la gestión tanto por los téc-nicos competentes como por las administraciones públicas. El objetivo del presente trabajo ha sido intentar dar solución a la dispersión de ratios de generación de residuos de construcción y demoli-ción, generando una serie de tablas parametrizadas que puedan servir de ayuda y orientación para calcular los ratios de RCD suscepti-bles de generarse en una obra de construcción o demolición para las grandes regiones climáticas de España. Para la recogida de datos se ha recurrido tanto a fuentes públicas como privadas. Se han consultado bases de datos de entidades de reco-nocido prestigio, recopilado ratios provenientes de normativas autonómicas y locales y, de manera activa, se ha solicitado información a los agentes más relevantes del sector: Colegios Profesionales, Universidades, entidades que desarrollan trabajo específico en este campo, proyectos relacionados de ámbito europeo y actores privados en el sector. El resultado son unas tablas parametrizadas por grandes zonas climáticas, tanto para nueva construcción como demolición de edificios residenciales y terciarios. Este trabajo ha sido posible gracias a la iniciativa de los Consejos Superior y General de Colegios de Arquitec-tos y Arquitectos Técnicos de España.  One of the main objectives of the European Union and all of its member states is to promote the circular economy in all production sec-tors. In 2015, the European Commission adopted an action plan to contribute to the transition towards a circular economy. Establishing 54 measures to 'finish the circle' of products life cycle: from production and consumption to waste management and the markets for recy-cling services and secondary raw materials. Certainly, the correct management of construction and demolition waste is essential in this process, it represents approximately the third part of the waste generated by the European Union. The Government of Spain has also worked in the same direction with the strategy called Spanish Circular Economy, “España Circular 2030”, in which one of its main axes is the management of wasting, in which, among other objectives, it proposes the review of the RD 105/2008 which regulates the production and management of construction and demolition waste. This Royal Decree provides the legal framework for this management of RCD in building, through tools such as the study and the management plan of RCD.  One of the most common problems detected by construction sector agents is not having estimated ratios for the generation of RCD. The objective of this work has been trying to solve the dispersion of these construction and demolition waste generation ratios, making some parameterized tables that can help calculating the RCD ratios produced in a construction or demolition work, by the climatic regions of Spain. The data have been obtained from different sources, both public and private. The parameterized tables have been made by consulting the databases of prestigious entities, in addition, ratios have been compiled from regional and local regulations, actively, information has been requested from the most relevant agents in the sector: Professional Associations, Universities, related European projects and private actors in the sector.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="242028">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="242029">
                <text>Construcción, Construction, Demolition, Materiales, demolición, materials, resíduos, waste</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="242030">
                <text>10.20868/bma.2020.3.4676</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="242031">
                <text>Building &amp; Management</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="242032">
                <text>Universidad Politécnica de Madrid</text>
              </elementText>
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          </element>
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                <text>Abstract In December 2019, a new virus (initially called ‘Novel Coronavirus 2019-nCoV’ and later renamed to SARS-CoV-2) causing severe acute respiratory syndrome (coronavirus disease COVID-19) emerged in Wuhan, Hubei Province, China, and rapidly spread to other parts of China and other countries around the world, despite China’s massive efforts to contain the disease within Hubei. As with the original SARS-CoV epidemic of 2002/2003 and with seasonal influenza, geographic information systems and methods, including, among other application possibilities, online real-or near-real-time mapping of disease cases and of social media reactions to disease spread, predictive risk mapping using population travel data, and tracing and mapping super-spreader trajectories and contacts across space and time, are proving indispensable for timely and effective epidemic monitoring and response. This paper offers pointers to, and describes, a range of practical online/mobile GIS and mapping dashboards and applications for tracking the 2019/2020 coronavirus epidemic and associated events as they unfold around the world. Some of these dashboards and applications are receiving data updates in near-real-time (at the time of writing), and one of them is meant for individual users (in China) to check if the app user has had any close contact with a person confirmed or suspected to have been infected with SARS-CoV-2 in the recent past. We also discuss additional ways GIS can support the fight against infectious disease outbreaks and epidemics.</text>
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                <text>COVID-19, SARS-CoV-2, GIS</text>
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                <text>DOI: 10.1186/s12942-020-00202-8</text>
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                <text>International Journal of Health Geographics</text>
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                <text>Computer applications to medicine. Medical informatics</text>
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                  <text>Agricultura sostenible</text>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Agricultura sostenible</text>
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                <text>Geoingeniería, apuesta incierta frente al cambio climático</text>
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                <text>Gian Carlo Delgado Ramos</text>
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                <text>Ante el acelerado aumento de la concentración de gases de efecto invernadero, producto de un metabolismo social creciente (uso de energía y materiales), se ha propuesto, como potencial solución, la puesta en marcha de diversas tecnologías, entre ellas aquellas diseñadas para manipular y controlar el clima. El presente texto revisa el metabolismo social imperante y sus proyecciones para las próximas décadas, para desde ahí presentar la problemática y el reto del cambio climático, sus implicaciones y las soluciones tecnológicas de manipulación del clima propuestas desde un discurso político que aboga por una 'economía verde'. A partir de describir las geoingenierías propuestas, se revisa críticamente su complejidad, viabilidad, incertidumbres y potenciales implicaciones. Reconociendo que el uso de las geoingenierias es más un asunto económico-político que técnico, se concluye con un llamado a abrir el debate sobre las implicaciones y deseabilidad de tales o cuales geoingenierías, partiendo de la premisa de que la principal medida frente al cambio climático es la efectiva reducción del metabolismo social y por tanto de las emisiones.</text>
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                <text>Cambio climático, GEOINGENIERÍA, Incertidumbre, Riesgo</text>
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                <text>Estudios Sociales</text>
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                <text>Centro de Investigación en Alimentación y Desarrollo</text>
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                <text>Social sciences (General), Nutrition. Foods and food supply</text>
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