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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>ABOUT THE LABORATORY DIAGNOSTICS OF SEVERE ACUTE RESPIRATORY SYNDROME AT PRIMORSKIJ TERRITORY</text>
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                <text>A. V. Allenov, G. P. Murnatchev, A. Ya. Zhirov, V. P. Borzov, V. N. Krasnoshchiokov</text>
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            <description>An account of the resource</description>
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                <text>The difficulties of SARS laboratory diagnosis, which took place at Primorski Territory during first months of this dangerous infection epidemic are shown.</text>
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                <text>2020</text>
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                <text>severe acute respiratory syndrome (SARS), , primorski territory, laboratory diagnostics, «atypical pneumonia», est-system</text>
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                <text>Acta Biomedica Scientifica</text>
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                <text>Scientific Сentre for Family Health and Human Reproduction Problems</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>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Polypathy: searching for etiopathogenetic risks factors</text>
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                <text>A. V. Fus, G. I. Podolinny</text>
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            <description>An account of the resource</description>
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                <text>The article provides an overview of the literature on the actual problem of diseases - polypathy. The review focuses problematic aspects of comorbid states, the scatter of their definitions, the incidence in different countries according to the international scientific community, the frequency of use of comorbid indices, the influence of racial and ethnicity in polypathies, risk factors for the development of combined diseases both at the level of an individuals genes and aspects of a persons lifestyle and the environment, options for their pathogenetic development with examples of nodal chains and their effects (nodules), examples of countries with modified risk factors to reduce mortality according to the approved action plan World Health Organization for the Prevention of Chronic Noncommunicable Diseases. The review focuses on factors contributing to the development of polypathy, in particular connective tissue dysplasia. The problems of diagnosing the external signs of connective tissue dysplasia in comorbid patients according to accepted diagnostic criteria and the frequency of their occurrence abroad and in Russia. An analogy is drawn between the concept of cardiovascular continuum and the development of polypathy in the patients body with connective tissue dysplasia of varying severity. There is analyzed the experience of treating patients with comorbid pathology of both the international scientific society of comorbidity (2010) and the Russian recommendations on comorbidity (2016). There is raised the development of COVID-19 in different patients with polypathy in China and other 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>
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                <text>2020</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Co-Morbidity, molecular networks, connective tissue dysplasia, syntropy, cardiovascular continuum, polypathy, the prevalence of polypathy, valeology and risk factors for polypathy, intermolecular nodes</text>
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            <name>Identifier</name>
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                <text>DOI: 10.22363/2313-0245-2020-24-2-135-144</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="33384">
                <text>RUDN Journal of Medicine</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Peoples’ Friendship University of Russia (RUDN University)</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>
      <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>Influence of Personal Respiratory and Visual Protective Equipment on the Development and Progression of Dry Eye Syndrome</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="85519">
                <text>A. V. Kuroyedov, P. Ch. Zavadski, A. Yu. Brezhnev, V. V. Gorodnichii, I. R. Gazizova, A. V. Seleznev, O. N. Onufriichuk, Yu. I. Razhko, Z. M. Nagornova</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Purpose. To study the influence of personal protective equipment (PPE) of the respiratory and visual systems on the development and progression of dry eye syndrome (DES) and its relationship with other risk factors for medical workers.Patients and methods. The data of 243 people (male — 22.2 %, female — 77.8 %) were analyzed as part of a multi-center analytical scientific one-step study. Total tear production (Schirmer I test) was studied at the beginning and the end of the working day in persons used PPE of respiratory system (disposable medical face mask, gauze masks or different types of respirators), as well as PPE of the eyes (protective half-closed/closed glasses or protective screens). Risk factors for the development and progression of DES were registered (age, smoking, systemic hormones intake, soft contact lenses), as well as the use of artificial tears.Results. A decrease in the Schirmer I test score at the end of a 7–8 hour work shift was found by an average of 3 mm (from 13 (9; 16) mm to 10 (6; 15) mm, p &amp;lt; 0.001). Statistically significant changes were typical mainly for medical personnel (p &amp;lt; 0.001) with the maximum severity in persons working in outpatient sector. The presence of at least one DES risk factor was found in 30.5 % of patients, two factors — in 3.0 %, and three or more — in 7.0 %. There was no influence of risk factors on the degree of changes in total tear production. Reduced tear production is typical for some PPE of respiratory system (disposable masks and respirators) and the eye (screens and half-closed glasses) (p &amp;lt; 0.001). In people who do not use PPE of the eye, significant changes were detected only in the presence of risk factors.Conclusion. The negative influence of various PPE of the respiratory system and eye on the total tear production was established. The decrease in the results of the Schirmer I test by the end of the working day was 20–25 % of the basic level, regardless of the presence of traditional risk factors for DES. The severity of changes depended on the type of PPE used. The data obtained are particularly relevant during the new COVID-19 coronavirus pandemic and justify the need to establish specific prophylactic measures. One of the possible methods is the preventive use of artificial tears.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>2020</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>covid-19, Personal protective equipment, dry eye syndrome</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="85523">
                <text>10.18008/1816-5095-2020-3-519-526</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>Biotemas</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Universidade Federal de Santa Catarina</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="85526">
                <text>Ophthalmology</text>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
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        <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>Lessons to learn: COVID-19 epidemic in Italy</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="85367">
                <text>A. V. Semenov, N. Y. Pshenichnaya</text>
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            <description>An account of the resource</description>
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                <text>Here we provide the assessment of COVID-19 epidemic in Italy, which scale has led to serious challenges both for society and national health care system. Despite timely information regarding the pandemic spread of the novel coronavirus infection, the country’s health care was not prepared to dramatically increased rate of patients with viral pneumonia at the first stage of the epidemic, infection control measures were not fully implemented that also led to spread of infection among health care workers. Socially vulnerable population groups did not seek timely medical care due to the lack of hospital facilities as well as well-trained medical personnel. At the second stage of developing epidemic, were also delayed and executed at varying timepoints in neighbor regions, with sustained insufficient management after implementing them that was reflected as ongoing rise of epidemic curve over long time. Delayed execution of anti-epidemic restrictive measures aimed at fighting against ongoing epidemic resulted in substantially increased morbidity and mortality among vulnerable population groups and retarded rate of decreasing COVID-19 epidemic curve. Analyzing response measures taken in Italy against COVID-19 epidemic should be appreciated by other countries while dealing with the current pandemic and preparing to react to novel biological threats in the future.</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>2020</text>
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                <text>coronavirus, Italy, SARS-CoV-2, COVID 2019, Epidemic Curve, epidemic control and response</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>10.15789/2220-7619-LTL-1468</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Infekciâ i Immunitet</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Sankt-Peterburg : NIIÈM imeni Pastera</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Infectious and parasitic diseases</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>Revisión crítica de la evolución tecnológica de la cosecha de la caña de azúcar en la Argentina</text>
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          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="202065">
                <text>A. VALEIRO, C. BIAGGI</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="202066">
                <text>La agroindustria argentina del azúcar se concentra en la región noroeste. Tucumán es la principal productora, con 70% de la superficie nacional implantada. Resulta casi imposible pensar en el desarrollo económico y social de Tucumán separado de la caña de azúcar y su industrialización. Ahora, con los nuevos paradigmas energéticos que desafían al cultivo, la investigación tecnológica y el trabajo con los actores del sector tienen como objetivo que la producción de la caña de azúcar no solo resulte rentable, sino que además muestre una gestión ambiental coherente con el aumento de superficie de estos últimos 20 años. La sustentabilidad del cultivo de caña de azúcar se relaciona especialmente con el modo de realizar la cosecha, que es la etapa de mayor importancia en su producción. El tipo de cosecha de caña de azúcar influencia una cantidad de aspectos que hacen al desempeño productivo del cultivo, a su resultado económico, a la generación de empleo sectorial y regional, a la evolución de la tecnología industrial y al impacto ambiental de la producción. Además, en cualquiera de sus tipos, la cosecha se destaca por su impacto dentro del costo productivo total, representando entre 25% al 35%, y por lo tanto, cualquier variación que se registre en esa etapa repercute fuertemente en la rentabilidad final del cultivo. En esta revisión bibliográfica se presenta la evolución de las diferentes prácticas de cosecha en la Argentina resaltando la importancia que estas tienen sobre la productividad y longevidad de los cañaverales y las consecuencias sobre los recursos naturales, en especial el suelo. Se realiza una crítica sobre el uso de las cosechadoras integrales, con énfasis sobre las ventajas, limitaciones y desafíos técnicos de este paradigma tecnológico. La mecanización integral de la cosecha –se concluye– dista mucho de ser simplemente el reemplazo de la mano de obra por una máquina, más bien representa un cambio que lleva implícito un nuevo ordenamiento de la actividad; caracterizado por la notable reducción del tiempo necesario para la zafra. Los problemas todavía pendientes de solucionar –la falta de adaptación a plantaciones de poco tamaño, las pérdidas de cosecha a campo y en la interface campo-industria, el potencial de compactación de los suelos/decaimiento de los cultivos y la quema del rastrojo remanente– indican que el sistema mecanizado integral está lejos de ser el fin del camino de desarrollo de la cosecha de caña de azúcar y que todavía resulta necesaria una mayor oferta tecnológica para esta etapa productiva clave.</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="202067">
                <text>2019</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="202068">
                <text>Caña de Azúcar, cosecha, cosechadora integral, sustentabilidad</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="202069">
                <text>RIA: Revista Investigaciones Agropecuarias</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="202070">
                <text>Instituto Nacional de Tecnología Agropecuaria (INTA)</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="202071">
                <text>Agriculture (General), Agriculture</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="46">
            <name>Relation</name>
            <description>A related resource</description>
            <elementTextContainer>
              <elementText elementTextId="202072">
                <text>&lt;a href="http://www.redalyc.org/articulo.oa?id=86458941002" target="_blank" rel="noreferrer noopener"&gt;http://www.redalyc.org/articulo.oa?id=86458941002&lt;/a&gt;</text>
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          </element>
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  </item>
  <item itemId="19126" public="1" featured="0">
    <fileContainer>
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        <src>https://socictopen.socict.org/files/original/c85555a50ef5f13d8c9cd60f6e187dc7.pdf</src>
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          <name>Dublin Core</name>
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          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="88121">
                  <text>Agricultura sostenible</text>
                </elementText>
              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="88122">
                  <text>Dominio científico: Agricultura sostenible</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="162021">
                <text>EFFECT OF LIQUID SEAWEED EXTRACT ON POTTED GROWTH OF Eustoma grandiflorum (Raf.) Shinners)</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="162022">
                <text>A. Velasco-Ramírez, A. P. Velasco-Ramírez, R. M. Hernández-Herrera, F. M. García-Contreras, M. M. Maldonado-Villegas</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="162023">
                <text>Background. The use of liquid algae extract as a biostimulant when applied to leaves or roots, improves crop development and consequently yield, since by stimulating natural processes they benefit from the use of nutrients and increases resistance to conditions of biotic and / or abiotic stress. Objective. This investigation evaluated the response of two varieties of Eustoma grandiflorum to foliar and root application of algae extracts, grown in pots under nursery conditions. Methodology. Macroalgae extract was applied in a foliar way (20 mL spray) and directly to the substrate (50 mL), while drinking water was applied as the control. Results. The parameters obtained indicate that the foliar application has noticeably effects on var. Rosie for the variables root length, number of shoots, and number of leaves; while for var. Florida, the variables total plant length and number of shoots obtained greater significance. The method of application via substrate generates positive effects on the total length and stem length for var. Rosie, although the variables with the greatest noticeably were obtained from var. Florida for root length, number of leaves, and flower diameter. Implications. The low doses of the algae extracts, application form and the handling of cultural tasks during the growth of E. grandiflorum, contribute to a better absorption and/or efficiency of the fertilizers in the crop. Conclusion. The application of algae extracts favors the production of E. grandiflorum under nursery conditions, making their use a viable option to minimize the application of conventional fertilizers, thereby attenuating the effects on the environment.  EFECTO DEL EXTRACTO LÍQUIDO DE ALGAS MARINAS EN EL CRECIMIENTO EN MACETA DE Eustoma grandiflorum (Raf.) Shinners).  Antecedentes. El uso de extracto liquido de algas como bioestimulante cuando se aplican a las hojas o en las raices, mejora el desarrollo del cultivo y consecuentemente el rendimiento, ya que mediante la estimulación de procesos naturales benefician el aprovechamiento de nutrientes e incrementa la resistencia a condiciones de estrés biótico y/o abiótico. Objetivo. Esta investigación evaluó la respuesta de dos variedades de Eustoma grandiflorum a la aplicación foliar y radicular de extractos de algas, cultivadas en macetas en condiciones de vivero. Metodologia. El extracto de macroalgas se aplicó de forma foliar (20 mL) y directamente al sustrato (50 mL), mientras que el agua potable se aplicó como control. Resultados. Los parametros obtenidos indican que la aplicación foliar tiene efectos notables sobre la var. Rosie para las variables longitud de la raíz, número de brotes y número de hojas; mientras que para la var. Florida, las variables longitud total de la planta y número de brotes obtuvieron mayor importancia. El método de aplicación a través del sustrato genera efectos positivos sobre la longitud total y la longitud del tallo para las var. Rosie, aunque las variables con mayor notoriedad se obtuvieron de var. Florida para la longitud de la raíz, el número de hojas y el diámetro de la flor. Conclusión. La aplicación de extractos de algas favorece la producción de E. grandiflorum en condiciones de vivero, lo que hace que su uso sea una opción viable para minimizar la aplicación de fertilizantes convencionales, atenuando así los efectos sobre el medio ambiente.</text>
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            </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="162024">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="162025">
                <text>horticulture, lisianthus, mexican algae, seaweed extract</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="162026">
                <text>Tropical and Subtropical Agroecosystems</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="162027">
                <text>Universidad Autónoma de Yucatán</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="162028">
                <text>Agriculture (General), Agriculture</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="46">
            <name>Relation</name>
            <description>A related resource</description>
            <elementTextContainer>
              <elementText elementTextId="162029">
                <text>&lt;a href="https://www.revista.ccba.uady.mx/ojs/index.php/TSA/article/view/3104" target="_blank" rel="noreferrer noopener"&gt;https://www.revista.ccba.uady.mx/ojs/index.php/TSA/article/view/3104&lt;/a&gt;</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
  <item itemId="16934" public="1" featured="0">
    <fileContainer>
      <file fileId="16932">
        <src>https://socictopen.socict.org/files/original/2269f28be95ed7ae563490dff0441daa.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="88121">
                  <text>Agricultura sostenible</text>
                </elementText>
              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="88122">
                  <text>Dominio científico: Agricultura sostenible</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
        </elementSet>
      </elementSetContainer>
    </collection>
    <itemType itemTypeId="1">
      <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>
    </itemType>
    <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="141333">
                <text>Efectos del cambio climático en la vegetación mediterránea. Comentarios sobre un simposio de WCRP y Diversitas en Valencia</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="141334">
                <text>A. Vilagrosa, M.J. Estrella</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="141335">
                <text>2009</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="141336">
                <text>Ecosistemas</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="141337">
                <text>Asociación Española de Ecología Terrestre</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="141338">
                <text>Environmental sciences</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="46">
            <name>Relation</name>
            <description>A related resource</description>
            <elementTextContainer>
              <elementText elementTextId="141339">
                <text>&lt;a href="http://www.redalyc.org/articulo.oa?id=54012158014" target="_blank" rel="noreferrer noopener"&gt;http://www.redalyc.org/articulo.oa?id=54012158014&lt;/a&gt;</text>
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            </elementTextContainer>
          </element>
        </elementContainer>
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    </elementSetContainer>
  </item>
  <item itemId="7348" public="1" featured="0">
    <fileContainer>
      <file fileId="7348">
        <src>https://socictopen.socict.org/files/original/feb867664e7f22388d9f987fd3f85d49.pdf</src>
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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="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>
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              </elementTextContainer>
            </element>
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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>
    </itemType>
    <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="64535">
                <text>UV Disinfection Robot with Automatic Switching on Human Detection</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="64536">
                <text>A. Vyshnavi, A. Manasa, Ch. Hamsika, P. Shalini</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="64537">
                <text>Ultra violet (UV) light is used for the purpose of disinfection or sterilization of rooms and surfaces. UV-C is employed as it has germicidal properties, in particular -  bacteria and viruses, but it is detrimental to human-beings as well. So, for the purpose of disinfection without human interference, a UV Robot has been designed and implemented that follows a pre-defined path. It was equipped with three 20W UV lamps which radiates light in all directions. Given that UV light can be dangerous to humans, an embedded system based on Arduino along with PIR sensors are employed on top of the robot that detects human or animal’s motion and presence. So, one of the effective ways to avoid getting infected with SARS-COV-2 (Corona virus) is by sterilizing rooms using UV robot.</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="64538">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="64539">
                <text>SARS-CoV-2, sterilization, disinfection, UV light, robot</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="64540">
                <text>10.4108/eai.25-9-2020.166364</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="64541">
                <text>Biotemas</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="64542">
                <text>Universidade Federal de Santa Catarina</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="64543">
                <text>Computer engineering. Computer hardware, Industrial engineering. Management engineering</text>
              </elementText>
            </elementTextContainer>
          </element>
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  </item>
  <item itemId="7123" public="1" featured="0">
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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>
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              </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>
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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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    <elementSetContainer>
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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="62716">
                <text>Towards computer-aided severity assessment via deep neural networks for geographic and opacity extent scoring of SARS-CoV-2 chest X-rays</text>
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            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>A. Wong, Z. Q. Lin, L. Wang, A. G. Chung, B. Shen, A. Abbasi, M. Hoshmand-Kochi, T. Q. Duong</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Abstract A critical step in effective care and treatment planning for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the cause for the coronavirus disease 2019 (COVID-19) pandemic, is the assessment of the severity of disease progression. Chest x-rays (CXRs) are often used to assess SARS-CoV-2 severity, with two important assessment metrics being extent of lung involvement and degree of opacity. In this proof-of-concept study, we assess the feasibility of computer-aided scoring of CXRs of SARS-CoV-2 lung disease severity using a deep learning system. Data consisted of 396 CXRs from SARS-CoV-2 positive patient cases. Geographic extent and opacity extent were scored by two board-certified expert chest radiologists (with 20+ years of experience) and a 2nd-year radiology resident. The deep neural networks used in this study, which we name COVID-Net S, are based on a COVID-Net network architecture. 100 versions of the network were independently learned (50 to perform geographic extent scoring and 50 to perform opacity extent scoring) using random subsets of CXRs from the study, and we evaluated the networks using stratified Monte Carlo cross-validation experiments. The COVID-Net S deep neural networks yielded R $$^2$$ 2 of $$0.664 \pm 0.032$$ 0.664 ± 0.032 and $$0.635 \pm 0.044$$ 0.635 ± 0.044 between predicted scores and radiologist scores for geographic extent and opacity extent, respectively, in stratified Monte Carlo cross-validation experiments. The best performing COVID-Net S networks achieved R $$^2$$ 2 of 0.739 and 0.741 between predicted scores and radiologist scores for geographic extent and opacity extent, respectively. The results are promising and suggest that the use of deep neural networks on CXRs could be an effective tool for computer-aided assessment of SARS-CoV-2 lung disease severity, although additional studies are needed before adoption for routine clinical use.</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="62719">
                <text>2021</text>
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          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="62720">
                <text>10.1038/s41598-021-88538-4</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="62721">
                <text>Epidemiology and Health</text>
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            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="62722">
                <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>
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              <elementText elementTextId="62723">
                <text>Science, Medicine</text>
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        <src>https://socictopen.socict.org/files/original/abc162dd8ebdea6a2e751166f0e573bf.pdf</src>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              </elementTextContainer>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
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                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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              </elementTextContainer>
            </element>
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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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        <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="87551">
                <text>Assessment of the Herd Immunity to SARS-CoV-2 among the Population of the Leningrad Region during the COVID-19 Epidemic</text>
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            </elementTextContainer>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="87552">
                <text>A. Yu. Popova, E. B. Ezhlova, A. A. Mel’nikova, O. A. Historik, O. S. Mosevich, L. V. Lyalina, V. S. Smirnov, M. A. Cherny, N. S. Balabysheva, I. S. Loginova, O. S. Vladimirova, I. S. Samoglyadova, N. A. Vasev, S. V. Rumyantseva, E. Yu. Chupalova, G. V. Selivanova, M. V. Muraviova, L. V. Timofeeva, E. N. Khankishieva, V. D. Tylchevskaya, N. D. Nikitenko, T. I. Kostenitskaya, N. V. Virkunen, I. M. Klimkina, T. M. Kuzmina, N. V. Degtyarenko, A. I. Bazunova, L. A. Filippova, N. A. Palchikova, A. V. Kukshkin, N. A. Arsentieva, O. K. Batsunov, E. A. Bogumilchik, E. A. Voskresenskaya, V. G. Drobyshevskaya, E. V. Zueva, G. I. Kokorina, N. N. Kurova, N. E. Lyubimova, R. S. Ferman, G. N. Khamdulaeva, I. V. Khamitova, E. V. Khorkova, A. M. Milichkina, V. G. Dedkov, A. A. Totolian</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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                <text>The first case of COVID-19 was registered in the Leningrad Region on March 13, 2020. The period of increasing intensity of the epidemic process lasted 8 weeks. One month after reaching the maximum incidence rate, a study was organized to determine seroprevalence to COVID-19 among the population of the Region.Objective of the study was to determine the level and structure of community immunity to SARS-CoV-2 virus in the population of the Leningrad Region in the period of intensive COVID-19 transmission.Materials and methods. The work was carried out within the framework of the Rospotrebnadzor project on assessment of community immunity to the SARS-CoV-2 virus in the population of the Russian Federation. The content of antibodies to SARS-CoV-2 was determined applying ELISA using a kit for the analysis of human serum or blood plasma for the presence of specific IgG to the nucleocapsid of the SARS-CoV-2 virus , manufactured by the State Scientific Center of Applied Microbiology and Biotechnology (Obolensk) in accordance with the instructions for use.Results and discussion. The study has showed that the herd immunity of the population of the Leningrad Region was 20.7 %. The maximum level has been established in children 1–6 years old (42.3 %) and people over 70 years old (29.0 %). The highest level of seropositivity, except for children and older people, was found among the unemployed (25.1 %). The lowest level of seroprevalence was detected in civil servants (12.8 %) and military personnel (16.7 %). It has been shown that the risk of infection increases by 1.5 times in case of contacts with COVID-19 patients. After exposure to COVID-19 virus, antibodies are produced in 82.1 % of the cases. In individuals with a positive PCR test result obtained earlier, antibodies are detected in 82.8 % of cases. The share of asymptomatic forms among seropositive residents of the Leningrad Region was 86.9 %. The results of assessing the herd immunity to SARS-CoV-2 in the population of the Leningrad Region indicate that during the period of intensive COVID-19 transmission, an average level of seroprevalence was formed. A significant proportion of asymptomatic forms of infection characterizes the high intensity of the latently developing epidemic process. The results obtained should be taken into account when organizing preventive measures, including vaccination, and predicting morbidity rates.</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="87554">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87555">
                <text>seroprevalence, covid-19, Incidence, Asymptomatic infection, coronavirus sars-cov-2</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="87556">
                <text>10.21055/0370-1069-2020-3-114-123</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="87557">
                <text>Проблемы особо опасных инфекций</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="87558">
                <text>Federal Government Health Institution, Russian Research Anti-Plague Institute “Microbe”</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="87559">
                <text>Infectious and parasitic diseases</text>
              </elementText>
            </elementTextContainer>
          </element>
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