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                <text>Impacto del COVID-19 en las emociones de mujeres embarazadas con diabetes gestacional</text>
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                <text>Ana Karen Cotarelo Pérez, Josefina Reynoso Vázquez, Claudia Teresa Solano Pérez, María del Carmen Alejandra Hernández Ceruelos, Jesús Carlos Ruvalcaba Ledezma</text>
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                <text>Objetivo. Determinar el impacto del COVID-19 en las emociones de mujeres embarazadas con diabetes gestacional.  Material y Métodos. Estudio transversal, observacional en 85 mujeres embarazadas con diabetes gestacional que asisten a el Hospital General Regional 200 del IMSS, se utilizara el instrumento la Escala de  Valoración del Estado de Ánimo (EVEA) fue creado por Sanz en 2001con una validez y fiabilidad del 0,86 y 0,92.  Resultados esperados. Las mujeres en gestación con diabetes gestacional muestran un impacto emocional  debido a la pandemia COVID-19 y no solo por el miedo de contagiarse también el temor de tener que llegar  al hospital en estas fechas de crisis a la labor de parto y que este se complique por ambas situaciones.  Conclusión. El miedo es una de las emociones más impactantes en las mujeres embarazadas en cuanto a  llegar en estas fechas a ser impactada por el COVID-19, a que se manifiesten complicaciones en ellas o en su  bebe, ante esta crisis por COVID-19 anticipan resultados negativos.</text>
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                <text>covid-19, emociones, MUJERES EMBARAZADAS, diabetes gestacional</text>
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                <text>10.19230/jonnpr.3765</text>
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                <text>Jounal of Negative and No Positive Results</text>
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                <text>Asociación Para el Progreso de la Biomedicina</text>
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                <text>The Case of Emergency: How Does COVID-19 Influence Nationalism Development In Hungary?</text>
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                <text>Ekaterina POPOVA</text>
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                <text>Following COVID-19 outbreak has served for the activation of national movements all over the world. While the pandemics and viruses themselves are not new phenomena for humanity, scholars have recently started to investigate the connection between pandemics and nationalism. This article aims to investigate nationalism and the impact of the coronavirus on the development of nationalism in Hungary. The main research question imposed: are some minorities and migrants victims of prejudice and xenophobia among Hungarians and if so, to what extent is COVID-19 a contributing factor? The overall results obtained through the survey with the use of netnographic method showed the inability of COVID-19 to fuel nationalism. However, it identified some possible ‘sensitive’ groups and raised new questions.Although the main interest of the researcher is found in the case of Hungary, this article may serve as the thought-provocation for other countries.</text>
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                <text>covid-19, migrants, Nationalism, Hungary, populism</text>
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                <text>Košická bezpečnostná revue</text>
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                <text>University of Security Management in Košice</text>
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                <text>Criminal law and procedure</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Head-to-Head Accuracy Comparison of Three Commercial COVID-19 IgM/IgG Serology Rapid Tests</text>
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                <text>Diego O. Andrey, Patrick Cohen, Benjamin Meyer, Giulia Torriani, Sabine Yerly, Lena Mazza, Adrien Calame, Isabelle Arm-Vernez, Idris Guessous, Silvia Stringhini, Pascale Roux-Lombard, Lionel Fontao, Thomas Agoritsas, Jerôme Stirnemann, Jean-Luc Reny, Claire-Anne Siegrist, Isabella Eckerle, Laurent Kaiser, Nicolas Vuilleumier</text>
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                <text>Background: Comparative data of SARS-CoV-2 IgM/IgG serology rapid diagnostic tests (RDTs) is scarce. We thus performed a head-to-head comparison of three RDTs. Methods: In this unmatched case-control study, blood samples from 41 RT-PCR-confirmed COVID-19 cases and 50 negative controls were studied. The diagnostic accuracy of three commercially available COVID-19 RDTs: NTBIO (RDT-A), Orient-Gene (RDT-B), and MEDsan (RDT-C), against both a recombinant spike-expressing immunofluorescence assay (rIFA) and Euroimmun IgG ELISA, was assessed. RDT results concordant with the reference methods, and between whole blood and plasma, were established by the Kendall coefficient. Results: COVID-19 cases’ median time from RT-PCR to serology was 22 days (interquartile range (IQR) 13–31 days). Whole-blood IgG detection with RDT-A, -B, and -C showed 0.93, 0.83, and 0.98 concordance with rIFA. Against rIFA, RDT-A sensitivity (SN) was 92% (95% CI: 78–98) and specificity (SP) 100% (95% CI: 91–100), RDT-B showed 87% SN (95% CI: 72–95) and 98% SP (95% CI: 88–100), and RDT-C 100% SN (95% CI: 88–100) and 98% SP (95% CI: 88–100). Against ELISA, SN and SP were above 90% for all three RDTs. Conclusions: RDT-A and RDT-C displayed IgG detection SN and SP above 90% in whole blood. These RDTs could be considered in the absence of routine diagnostic serology facilities.</text>
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                <text>2020</text>
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                <text>ELISA, covid-19, SARS-CoV-2, immunofluorescence, rapid test, IgM/IgG serology</text>
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                <text>10.3390/jcm9082369</text>
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                <text>Epidemiology and Health</text>
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                <text>Korean Society of Epidemiology</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>COVID-19-induced collateral damage.</text>
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                <text>NeoVitaA Study Group</text>
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                <text>10.1007/s10354-020-00788-5</text>
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                <text>Wiener medizinische Wochenschrift (1946)</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>COVID-19: what the clinician should know about post-mortem findings.</text>
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                <text>Danny Jonigk, Bruno Märkl, Julie Helms</text>
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                <text>10.1007/s00134-020-06302-0</text>
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                <text>Intensive care 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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          <element elementId="50">
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                <text>Efficacy of corticosteroids in non-intensive care unit patients with COVID-19 pneumonia from the New York Metropolitan region</text>
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                <text>Monil Majmundar, Tikal Kansara, Joanna Marta Lenik, Hansang Park, Kuldeep Ghosh, Rajkumar Doshi, Palak Shah, Ashish Kumar, Hossam Amin, Shobhana Chaudhari, Imnett Habtes, Muhammad Adrish</text>
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                <text>Introduction The role of systemic corticosteroid as a therapeutic agent for patients with COVID-19 pneumonia is controversial. Objective The purpose of this study was to evaluate the effect of corticosteroids in non-intensive care unit (ICU) patients with COVID-19 pneumonia complicated by acute hypoxemic respiratory failure (AHRF). Methods This was a single-center retrospective cohort study, from 16th March, 2020 to 30th April, 2020; final follow-up on 10th May, 2020. 265 patients consecutively admitted to the non-ICU wards with laboratory-confirmed COVID-19 pneumonia were screened for inclusion. 205 patients who developed AHRF (SpO2/FiO2 ≤ 440 or PaO2/FiO2 ≤ 300) were only included in the final study. Direct admission to the Intensive care unit (ICU), patients developing composite primary outcome within 24 hours of admission, and patients who never became hypoxic during their stay in the hospital were excluded. Patients were divided into two cohorts based on corticosteroid. The primary outcome was a composite of ICU transfer, intubation, or in-hospital mortality. Secondary outcomes were ICU transfer, intubation, in-hospital mortality, discharge, length of stay, and daily trend of SpO2/FiO2 (SF) ratio from the index date. Cox-proportional hazard regression was implemented to analyze the time to event outcomes. Result Among 205 patients, 60 (29.27%) were treated with corticosteroid. The mean age was ~57 years, and ~75% were men. Thirteen patients (22.41%) developed a primary composite outcome in the corticosteroid cohort vs. 54 (37.5%) patients in the non-corticosteroid cohort (P = 0.039). The adjusted hazard ratio (HR) for the development of the composite primary outcome was 0.15 (95% CI, 0.07–0.33; P</text>
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                <text>2020</text>
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            <name>Source</name>
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              <elementText elementTextId="69554">
                <text>Epidemiology and Health</text>
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            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="69555">
                <text>Korean Society of Epidemiology</text>
              </elementText>
            </elementTextContainer>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Science, 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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                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
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                <text>3RD BIM/GIS INTEGRATION WORKSHOP AND 15TH 3DGEOINFO CONFERENCE 2020 – PREFACE</text>
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              <elementText elementTextId="69558">
                <text>C. Ellul, K. Wong, J. Morley, R. Home, M. Kalantari</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>The interest in and use of 3D models in built environments is rapidly increasing, and they are now a key component of decision-making in areas including climate change mitigation (e.g., calculating solar panel potential, flood modelling, modelling housing age for retrofitting of thermal insulation), urban planning and cadastral systems (modelling rights, restrictions and responsibilities in complex buildings, streamlining the process to issue planning permits, design of existing or new developments) and infrastructure (construction, transport, utility management and modelling, asset management). 3D models are also an integrator for the data underpinning smart cities – knowing where a sensor is in 3D space allows the data to be integrated with the surrounding context – for example, noise data could be integrated with traffic information. Reflecting this interest, national mapping and cadastral agencies (NMCA) including Ordnance Survey (GB) are now increasingly generating 3D mapping at national scale, and there is extensive research as to how this data can be integrated with another emerging source of 3D models such as building information modelling (BIM).These trends were evident during the 3rd BIM/GIS Integration Workshop and 15th 3DGeoInfo 2020 events, which were co-hosted by University College London and Ordnance Survey (GB) in September 2020. The workshop and conference brought together international researchers from academia, industry, government and national mapping and cadastral agencies in the field of 3D geoinformation, in an interdisciplinary gathering of researchers in the fields of data collection, data management, data quality, data analysis, advanced modelling approaches, applications, users, visualisation, augmented reality, artificial intelligence and many more.This year’s theme was Users and Use Cases. The workshop and conference covered a wide range of topics including 3D data acquisition and processing, 3D city modelling and related standards, visualisation and dissemination of 3D data, augmented and virtual reality, 3D and Artificial Intelligence/Machine Learning. Three sessions of the BIM/GIS Integration Workshop were dedicated to Applications of BIM/GIS Integration, and an entire day of 3DGeoInfo 2020 to Users and Use Cases within 3DGeoInfo. Additionally, two sessions were specifically aimed at NMCA participants.Although initially intended to be a face-to-face event in London, the team rapidly adjusted to the emerging COVID-19 situation, identifying an online solution that facilitated and encouraged participant interaction. This meant that the events could still provide a platform for learning, discussion, and exchange of ideas that they have been able to in previous years, as well as providing opportunities to promote international collaboration in these topics. This special issue of the ISPRS International Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences contains 22 papers selected by double-blind peer review carried out by a minimum of three reviewers. It includes research on topics including data modelling, indoor 3D, standards (IndoorML, CityGML, CityJSON), cadastral systems, pedestrian navigation, infrastructure, visualisation, point cloud management, data interoperability, data quality, generating national 3D datasets and planning/permit processes amongst others.</text>
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              <elementText elementTextId="69560">
                <text>2020</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="69561">
                <text>10.5194/isprs-annals-VI-4-W1-2020-1-2020</text>
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            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="69562">
                <text>ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="69563">
                <text>Copernicus Publications</text>
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            </elementTextContainer>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Engineering (General). Civil engineering (General), Technology, Applied optics. Photonics</text>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
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        <name>Dublin Core</name>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Edible Green Infrastructure for Urban Regeneration and Food Security: Case Studies from the Campania Region</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="69566">
                <text>Giuseppe T. Cirella, Alessio Russo</text>
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            <description>An account of the resource</description>
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                <text>Ten identified edible green infrastructure (EGI)-related urban regeneration case studies within the Campania region, Italy, are explored in relation to local community development, involvement, and education. Urban space and agriculture are promoted as sustainably planned networks for edible food components and structures. Within an urban ecosystem, city planners are actively promoting urban agriculture after an increase in the availability of unused land. Advantages for public health include stress reduction and physical activity, as well as sustainability of urban gardens by way of far-sighted urban planning. Case studies within the Campania region illustrate EGI know-hows and awareness, and they elucidate upon a number of beneficial reasons for its implementation. Within the Campania region, all five provinces showed positive impacts when using EGI for urban regeneration and well-being. Recent developments from the COVID-19 pandemic are reinforcing a rethink of food security and food supply chains.</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="69568">
                <text>2020</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="69569">
                <text>Italy, ecosystem services, urban agriculture, allotment gardens, social agriculture</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="69570">
                <text>10.3390/agriculture10080358</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="69571">
                <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="69572">
                <text>Korean Society of Epidemiology</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="69573">
                <text>Agriculture (General)</text>
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              <name>Title</name>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>MEDICAL SYSTEMS' QUALITY EVALUATED BY PERCEPTIONS OF NURSING CARE: FACING COVID 19 PANDEMIC</text>
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                <text>Salman Althobaiti, Sultan Alharthi, Ali Moosa ALZahrani</text>
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            <description>An account of the resource</description>
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                <text>The aim of this qualitative systematic review is to review the studies on patient perceptions of nursing care quality. All the papers available in the first five pages of Google Scholar using time frames of any time and 2016-2020 (10 web pages) and 2020 (five web pages) were reviewed. The review found that surveys using many different types of measurement frameworks was the methodology of choice for a majority of works. Among the topics, framework validation, care dimensions and specific problems like AIDS, surgery patients and cancer patients were researched most. Many types of measurement frameworks have been used for measuring patient perceptions of nursing care quality. Factors related to the patient, care environment and nursing were identified by the researchers. Individualised care, communicating the truth, competent and prompt care and response to various personal care needs of the patient, timely attention to urgent calls, safety, avoiding medical errors, empathy and instilling trust and confidence in the patient are important care dimensions. Patient-related dimensions are mainly demographic. They include age, education, occupation, income, marital status and certain behavioural attributes, which are outside the control of hospitals. Nurses may be able to adjust to individual behavioural problems to some extent, but not of all patients all the time. Nursing dimensions like working environment, staff strength, leadership effectiveness, involvement or empowerment for independent decision making, strain and burnout and work-life balance problems affect their care quality at professional level. At their personal level, knowledge, skills, competence and training, positive attitude towards the profession are important determinants. A care quality improvement bundle can be designed by the hospital to facilitate the nurses to improve on these factors. The hospitals need to obtain periodical feedback on the administrative aspects of nursing care from the nurses and make any improvement required to provide the proper working conditions without strain and burnout and facilitating work-life balance.</text>
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                <text>2020</text>
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            <name>Subject</name>
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                <text>Patient perception, nursing quality improvement, nursing quality perceptions</text>
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                <text>10.24874/IJQR14.03-16</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="69580">
                <text>International Journal for Quality Research</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Center for Quality, Faculty of Engineering, University of Kragujevac, Serbia</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>Management. Industrial management</text>
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                <text>Recommendations for Gynecological Endoscopic Surgery during COVID-19 Pandemic</text>
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                <text>Anupama Hari, Amrutha Kakollu</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="69585">
                <text>The presence of coronavirus disease 2019 (COVID-19) continues to overwhelm health-care systems with numerous concerns around the safety of patients as well as health-care professionals. It is essential to allow for judicious use of resources and emphasize allotting maximum staff and resources to care for the affected. To this end, most centers are choosing to defer elective procedures and perform only emergency surgeries. The safety of all theater staff is of utmost importance, and the risks of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral transmission should be curbed when operating. In particular, there are concerns relating to the transmission of COVID-19 during gynecological laparoscopic surgery, arising from the possible generation of contaminated aerosols from gas leakage and the creation of smoke from the use of electrosurgical devices. The aim of this paper is to review the evidence available as of today for recommendations to follow while performing gynecological procedures.</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="69586">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="69587">
                <text>covid-19, laparoscopy, Hysteroscopy, Gynecological</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="69588">
                <text>10.1055/s-0040-1716818</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="69589">
                <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="69590">
                <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="69591">
                <text>Surgery</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
</itemContainer>
