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              <name>Title</name>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Predictors of Intensive Care Unit admission in patients with coronavirus disease 2019 (COVID-19)</text>
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                <text>Maria Viviana Carlino, Alfonso Sforza, Mario Guarino, Natja Valenti, Flavio  Cesaro, Anita Costanzo, Giovanna Cristiano</text>
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                <text>Italy is currently experiencing an epidemic of coronavirus disease 2019 (Covid-19). Aim of our study is to identify the best predictors of Intensive Care Unit (ICU) admission in patients with Covid-19. We examined 28 patients admitted to the Emergency Department (ED) and subsequently confirmed as cases of Covid-19. Patients received, at the admission to the ED, a diagnostic work-up including: patient history, clinical examination, an arterial blood gas analysis (whenever possible performed on room air), laboratory blood tests, including serum concentrations of interleukin-6 (IL-6), lung ultrasound examination and a computed tomography (CT) scan of the thorax. For each patient, as gas exchange index through the alveolocapillary membrane, we determined the alveolar-arterial oxygen gradient (AaDO⁠2) and the alveolar-arterial oxygen gradient augmentation (AaDO⁠2 augmentation). For each patient, as measurement of hypoxemia, we determined oxygen saturation (SpO2), partial pressure of oxygen in arterial blood (PaO⁠2), PaO⁠2 deficit and the ratio between arterial partial pressure of oxygen by blood gas analysis and fraction of inspired oxygen (P/F). Patients were assigned to ICU Group or to Non-ICU Group basing on the decision to intubate. Areas under the curve (AUC) and receiver operating characteristic (ROC) curve were used to compare the performance of each test in relation to prediction of ICU admission. Comparing patients of ICU Group (10 patients) with patients of Non-ICU Group (18 patients), we found that the first were older, they had more frequently a medical history of malignancy and they were more frequently admitted to ED for dyspnea. Patients of ICU Group had lower oxygen saturation, PaO⁠2, P/F and higher heart rate, respiratory rate, AaDO⁠2, AaDO⁠2 augmentation and lactate than patients of Non-ICU Group. ROC curves demonstrate that age, heart rate, respiratory rate, dyspnea, lactate, AaDO2, AaDO2 augmentation, white blood cell count, neutrophil count and percentage, fibrinogen, C-reactive protein, lactate dehydrogenase, glucose level, international normalized ratio (INR), blood urea and IL-6 are useful predictors of ICU admission. We identified several predictors of ICU admission in patients with Covid-19. They can act as fast tools for the early identification and timely treatment of critical cases since their arrival in the ED.</text>
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                <text>2020</text>
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                <text>dyspnea, Hypoxemia, lactate, arterial blood gas analysis, alveolar-arterial oxygen gradient</text>
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                <text>10.4081/monaldi.2020.1410</text>
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                <text>Monaldi Archives for Chest Disease</text>
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                <text>PAGEPress Publications</text>
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                <text>Medicine</text>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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            <description>A name given to the resource</description>
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                <text>The role of Public Health resources in coping and treating COVID-19</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Jose L. Vilchez</text>
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                <text>Introduction: The COVID-19 crisis has put the management of various political systems to the test. There is possibly nothing more evident than the number of infected and deaths in a country as an index of the effectiveness of politicians in coping a crisis. The citizen is a customer. They pay their taxes and they have all the right to demand their politicians to be efficient in protecting their rights. In this sense, there is no right above the right to life. Some governments have attempted to shift the focus of their responsibility on the public health state budgets of previous governments, as an excuse for its catastrophic management. Objective: This work precisely analyzes whether there is any statistically significant relationship between the budget dedicated to public health services and the number of infected and deaths by COVID-19. Methods: A non-parametric analysis of Kendall's Tau b was carried out for Public Health Expenditure (both public and private investment) and the number of COVID-19 infections (in 178 countries) and deaths (in 162 countries; provided by John Hopkins University). Results: Results showed that there is not only a negative relationship (between higher spending on health and fewer affected people) but, surprisingly, there is a positive relationship between these variables. Conclusions: One possible hypothesis is that the fact of having a health system with more resources makes politicians be more confident when facing health crisis.</text>
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                <text>2021</text>
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            <description>The topic of the resource</description>
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                <text>covid-19, pandemia, sistemas de salud, gestión política, modelos de crisis</text>
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                <text>Epidemiology and Health</text>
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              <elementText elementTextId="87681">
                <text>Korean Society of Epidemiology</text>
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            <name>Coverage</name>
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                <text>Medicine, Medicine (General)</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>Title</name>
            <description>A name given to the resource</description>
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                <text>Análise de indicadores epidemiológicos de crianças e adolescentes acometidos pela Covid-19 no Nordeste do Brasil</text>
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="87667">
                <text>Célida Juliana de Oliveira, João Cruz Neto, Emanuel Messias Silva Feitosa, Kely Vanessa Leite Gomes da Silva</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Objetivo: analisar os indicadores epidemiológicos de crianças e adolescentes acometidos pela Covid-19 na região Nordeste do Brasil. Método: estudo ecológico com casos de Covid-19, nos estados do Nordeste. Calculou-se taxas de letalidade, prevalência, índice acumulado diário e razão de leitos de UTI. Analisou-se dados consolidados até 21 de agosto de 2020. Resultados: houve 74.705 casos de Covid-19, com prevalência do sexo feminino e quanto a faixa etária àqueles entre 10 a 19 anos. Letalidade foi de 8%, prevalência de 321/100.000 habitantes e razão de leitos menor que dois. Houve significância para relação entre o maior número de óbitos e o menor número de leitos de UTI (p=0.001), maior prevalência de casos em razão da menor quantidade de leitos de UTI (p=0.007). Conclusão: os indicadores revelam insuficiência quanto aos leitos para a doença, alta letalidade e prevalência, bem como quantidade razoável dos leitos de UTI.</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>2021</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Epidemiología, Criança, infecções por coronavírus, Indicadores básicos de saúde, Adolescentes</text>
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            <name>Identifier</name>
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                <text>10.5902/2179769263043</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>Revista de Enfermagem da Universidade Federal de Santa Maria</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="87673">
                <text>Universidade Federal de Santa Maria</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, Nursing</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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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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            <description>A name given to the resource</description>
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                <text>Decreased Anthropogenic CO&lt;sub&gt;2&lt;/sub&gt; Emissions during the COVID-19 Pandemic Estimated from FTS and MAX-DOAS Measurements at Urban Beijing</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Cheng Liu, Zhaonan Cai, Ke Che, Yi Liu, Dongxu Yang, Xu Yue</text>
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                <text>The COVID-19 pandemic has led to ongoing reductions in economic activity and anthropogenic emissions. Beijing was particular badly affected by lockdown measures during the early months of the COVID-19 pandemic. It has significantly reduced the CO2 emission and toxic air pollution (CO and NO2). We use column-averaged dry-air mole fractions of CO2 and CO (XCO2 and XCO) observed by a ground-based EM27/SUN Fourier transform spectrometer (FTS), the tropospheric NO2 column observed by MAX-DOAS and satellite remote sensing data (GOSAT and TROPOMI) to investigate the variations in anthropogenic CO2 emission related to COVID-19 lockdown in Beijing. The anomalies describe the spatio-temporal enhancement of gas concentration, which relates to the emission. Anomalies in XCO2 and XCO, and XNO2 (ΔXCO2, ΔXCO, and ΔXNO2) for ground-based measurements were calculated from the diurnal variability. Highly correlated daily XCO and XCO2 anomalies derived from FTS time series data provide the ΔXCO to ΔXCO2 ratio (the correlation slope). The ΔXCO to ΔXCO2 ratio in Beijing was lower in 2020 (8.2 ppb/ppm) than in 2019 (9.6 ppb/ppm). The ΔXCO to ΔXCO2 ratio originating from a polluted area was significantly lower in 2020. The reduction in anthropogenic CO2 emission was estimated to be 14.2% using FTS data. A comparable value reflecting the slowdown in growth of atmospheric CO2 over the same time period was estimated to be 15% in Beijing from the XCO2 anomaly from GOSAT, which was derived from the difference between the target area and the background area. The XCO anomaly from TROPOMI is reduced by 8.7% in 2020 compared with 2019, which is much smaller than the reduction in surface air pollution data (17%). Ground-based NO2 observation provides a 21.6% decline in NO2. The NO2 to CO2 correlation indicates a 38.2% decline in the CO2 traffic emission sector. Overall, the reduction in anthropogenic CO2 emission relating to COVID-19 lockdown in Beijing can be detected by the Bruker EM27/SUN Fourier transform spectrometer (FTS) and MAX-DOAS in urban Beijing.</text>
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                <text>2021</text>
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                <text>covid-19, lockdown, XCO&lt;sub&gt;2&lt;/sub&gt;, total column measurements, XCO, XNO&lt;sub&gt;2&lt;/sub&gt;</text>
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                <text>10.3390/rs13030517</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>Coronavirus</text>
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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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                <text>Distinct Regimes of O&lt;sub&gt;3&lt;/sub&gt; Response to COVID-19 Lockdown in China</text>
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            </elementTextContainer>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Chengzhi Xing, Chengxin Zhang, Wenjing Su, Cheng Liu, Shanshan Liu, Qihou Hu, Xian Yang, Jinan Lin, Xiangguang Ji, Wei Tan, Haoran Liu, Meng Gao</text>
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            <description>An account of the resource</description>
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                <text>Restrictions on human activities remarkably reduced emissions of air pollutants in China during the COVID-19 lockdown periods. However, distinct responses of O3 concentrations were observed across China. In the Beijing–Tianjin–Hebei (BTH) and Yangtze River Delta (YRD) regions, O3 concentrations were enhanced by 90.21 and 71.79% from pre-lockdown to lockdown periods in 2020, significantly greater than the equivalent concentrations for the same periods over 2015–2019 (69.99 and 43.62%, p &lt; 0.001). In contrast, a decline was detected (−1.1%) in the Pearl River Delta (PRD) region. To better understand the underlying causes for these inconsistent responses across China, we adopted the least absolute shrinkage and selection operator (Lasso) and ordinary linear squares (OLS) methods in this study. Statistical analysis indicated that a sharp decline in nitrogen dioxide (NO2) was the major driver of enhanced O3 in the BTH region as it is a NOx-saturated region. In the YRD region, season-shift induced changes in the temperature/shortwave radiative flux, while lockdown induced declines in NO2, attributable to the rise in O3. In the PRD region, the slight drop in O3 is attributed to the decreased intensity of radiation. The distinct regimes of the O3 response to the COVID-19 lockdown in China offer important insights into different O3 control strategies across China.</text>
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              <elementText elementTextId="87651">
                <text>2021</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>covid-19, control strategies, O&lt;sub&gt;3&lt;/sub&gt; response, Lasso statistical analysis</text>
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            </elementTextContainer>
          </element>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="87653">
                <text>10.3390/atmos12020184</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="87654">
                <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="87655">
                <text>Korean Society of Epidemiology</text>
              </elementText>
            </elementTextContainer>
          </element>
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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>Meteorology. Climatology</text>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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              <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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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Ground-Based MAX-DOAS Observations of Tropospheric NO&lt;sub&gt;2&lt;/sub&gt; and HCHO During COVID-19 Lockdown and Spring Festival Over Shanghai, China</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Muhammad Bilal, Aimon Tanvir, Zeeshan Javed, Zhu Jian, Sanbao Zhang, Ruibin Xue, Shanshan Wang, Zhou Bin</text>
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            </elementTextContainer>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Reduced mobility and less anthropogenic activity under special case circumstances over various parts of the world have pronounced effects on air quality. The objective of this study is to investigate the impact of reduced anthropogenic activity on air quality in the mega city of Shanghai, China. Observations from the highly sophisticated multi-axis differential optical absorption spectroscope (MAX-DOAS) instrument were used for nitrogen dioxide (NO2) and formaldehyde (HCHO) column densities. In situ measurements for NO2, ozone (O3), particulate matter (PM2.5) and the air quality index (AQI) were also used. The concentration of trace gases in the atmosphere reduces significantly during annual Spring Festival holidays, whereby mobility is reduced and anthropogenic activities come to a halt. The COVID-19 lockdown during 2020 resulted in a considerable drop in vertical column densities (VCDs) of HCHO and NO2 during lockdown Level-1, which refers to strict lockdown, i.e., strict measures taken to reduce mobility (43% for NO2; 24% for HCHO), and lockdown Level-2, which refers to relaxed lockdown, i.e., when the mobility restrictions were relaxed somehow (20% for NO2; 22% for HCHO), compared with pre-lockdown days, as measured by the MAX-DOAS instrument. However, for 2019, a reduction in VCDs was found only during Level-1 (24% for NO2; 6.62% for HCHO), when the Spring Festival happened. The weekly cycle for NO2 and HCHO depicts no significant effect of weekends on the lockdown. After the start of the Spring Festival, the VCDs of NO2 and HCHO showed a decline for 2019 as well as 2020. Backward trajectories calculated using the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model indicated more air masses coming from the sea after the Spring Festival for 2019 and 2020, implying that a low pollutant load was carried by them. No impact of anthropogenic activity was found on O3 concentration. The results indicate that the ratio of HCHO to NO2 (RFN) fell in the volatile organic compound (VOC)-limited regime.</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="87642">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87643">
                <text>remote sensing, NO&lt;sub&gt;2&lt;/sub&gt;, spring festival, MAX-DOAS, HCHO</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="87644">
                <text>10.3390/rs13030488</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="87645">
                <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="87646">
                <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="87647">
                <text>Science</text>
              </elementText>
            </elementTextContainer>
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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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              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</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>
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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="87630">
                <text>Dialyse péritonéale et pandémie COVID-19</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87631">
                <text>Christian Verger, Max Dratwa, Jacques Chanliau, Pierre-Yves Durand</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="87632">
                <text>L’épidémie à Coronavirus COVID-19, qui touche la planète entière, oblige chaque pays et leurs habitants à adapter leurs modes de vie afin, à laLfois, de se préserver et de préserver son entourage. La prise en charge des personnes souffrant d’une maladie chronique associée doit évoluer durant cette période en fonction des pathologies et du lieu de traitement.  Rapidement, en sus des directives ministérielles, les sociétés savantes ont proposé des recommandations qu’il importe à chacun d’adapter en fonction des possibilités et de l’environnement d’exercice. Certaines sont synthétiques et générales, d’autres concernent des groupes plus particuliers d’individus.  Nous citerons ainsi les recommandations (en Anglais) de l’ERA-EDTA : https://www.era-edta.org/en/wp-content/uploads/2020/03/200311_Press-Release_SARS-CoV-2.pdf L’expérience de Wuhan en hémodialyse : https://doi.org/10.1101/2020.02.24.20027201 Les recommandations générales de la SFNDT :  https://www.sfndt.org/sites/www.sfndt.org/files/medias/documents/Conseils%20SFNDT%20COVID-19%20-%20090320%20vDef.pdf  Peu de recommandations étaient fournies concernant les patients traités par dialyse péritonéale en dehors de celles de l’ISPD récemment publiées en plusieurs langues: https://ispd.org/strategies-covid19/ (traduction française réalisée par le RDPLF)  La France et certains pays francophones se caractérisent aussi par une proportion importante de patients en dialyse péritonéale non autonomes assistés par infirmière. Les responsables du Registre de Dialyse Péritonéale de Langue Française (RDPLF) ont rédigé, en accord avec la Société Francophone de Néphrologie Dialyse et Transplantation (SFNDT) des recommandations, volontairement simples, et spécifiques du mode de prise en charge dans nos régions.  Ces recommandations complètent celles précédemment citées et ne concernent que le suivi du patient lors de son maintien à domicile pour le protéger et protéger son entourage de toute contamination.  Il appartient à chaque professionnel de s’inspirer de ces recommandations et de les adapter en fonction de ses possibilités..</text>
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          </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="87633">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87634">
                <text>coronavirus, covid-19, pandémie, Épidémie, RDPLF, recommandatiions</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="87635">
                <text>10.25796/bdd.v3i1.54413</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="87636">
                <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="87637">
                <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="87638">
                <text>Internal medicine</text>
              </elementText>
            </elementTextContainer>
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    <fileContainer>
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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>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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              </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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    <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>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87621">
                <text>Teaching Sentiment in Emergency Online Learning—A Conceptual Model</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87622">
                <text>Domingos Martinho, Pedro Sobreiro, Ricardo Vardasca</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="87623">
                <text>Due to the COVID-19 pandemic, higher education institutions with a face-to-face model have found themselves in the contingency of migrating to online learning. This study explores the perspective of all the lecturers at a Portuguese private higher education institution who were invited to participate, regardless of their research area, in this questionnaire. It aims to propose and test a conceptual model that combines attitudes, preferred activities, and technological experience with the sentiment about the impact of this experience on students’ learning process, on their teaching activity, and on the strategy of higher education institutions. An online questionnaire was conducted to 65 lecturers engaging in emergency online lecturing. The obtained results showed that lecturers reveal a positive attitude towards online lecturing, tend to prefer activities in which they feel most comfortable in face-to-face lecturing, and consider having technological experience useful for online activities. Lecturers have a positive sentiment about the impact of online learning on students’ learning, their faculty career, and the strategy of higher education institutions. The proposed conceptual model test shows that the model has well-fitting conditions. The results confirm the hypotheses formulated: namely, the predictive effect of attitude, preferred activities, and technological experience on sentiment. Faculty engagement in emergency online lecturing shows that the members are available to participate in the changing process, and the proposed conceptual model can be used to assess this readiness.</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="87624">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87625">
                <text>covid-19, online learning, higher education, lecturers, emergency online learning, emergency online teaching</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="87626">
                <text>10.3390/educsci11020053</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="87627">
                <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="87628">
                <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="87629">
                <text>Education</text>
              </elementText>
            </elementTextContainer>
          </element>
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              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
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              </elementTextContainer>
            </element>
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              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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            <description>A name given to the resource</description>
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                <text>The risks of liver injury in COVID-19 patients and pharmacological management to reduce or prevent the damage induced</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87613">
                <text>Antonio Vitiello, Raffaele La Porta, Vilma D’Aiuto, Francesco Ferrara</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="87614">
                <text>Abstract Background The global pandemic COVID-19 caused by the new coronavirus SARS-CoV-2 has already caused about 1.4 million deaths, and to date, there are no effective or direct antiviral vaccines. Some vaccines are in the last stages of testing. Overall mortality rates vary between countries, for example, from a minimum of 0.05% in Singapore to a maximum of 9.75 in Mexico; however, mortality and severity of COVID-19 are higher in the elderly and in those with comorbidities already present such as diabetes, hypertension, and heart disease. Main text Recent evidence has shown that an underlying liver disease can also be a risk factor, and SARS-CoV-2 itself can cause direct or indirect damage to liver tissue through multisystem inflammation generated especially in the more severe stages. In the current pandemic, liver dysfunction has been observed in 14–53% of patients with severe COVID-19. In addition, drugs administered during infection may be an additional factor of liver damage. The mechanism of cellular penetration of the virus that occurs by viral entry is through the receptors of the angiotensin 2 conversion enzyme (ACE-2) host that are abundantly present in type II pneumocytes, heart cells, but also liver cholangiocytes. Conclusion In this manuscript, we describe the clinical management aimed at preserving the liver or reducing the damage caused by COVID-19 and anti-COVID-19 drug treatments.</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="87615">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87616">
                <text>COVID-19/SARS-CoV-2, liver fibrosis, liver damage, Obeticholic acid</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="87617">
                <text>10.1186/s43066-021-00082-y</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="87618">
                <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="87619">
                <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="87620">
                <text>Surgery, Diseases of the digestive system. Gastroenterology</text>
              </elementText>
            </elementTextContainer>
          </element>
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        <src>http://socictopen.socict.org/files/original/04ff19fb56af88ace634ddcbc322ca2b.pdf</src>
        <authentication>72f1befcd15bbc49e7597e314be84a7a</authentication>
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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>
            </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>
          </elementContainer>
        </elementSet>
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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>
            <elementTextContainer>
              <elementText elementTextId="87604">
                <text>Complete heart block and itchy rash in a patient with COVID-19</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87605">
                <text>Fatemeh Dehghani Firouzabadi, Mohammad Dehghani Firouzabadi, Sogand Goudarzi, Fatemeh Moosaie</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87606">
                <text>Background: The outbreak of coronavirus disease 2019 (COVID-19) has become a global crisis, as the World Health Organization (WHO) declared COVID-19 as a global pandemic. Complete heart block, resulting from an abnormal heart rhythm, is a rare presentation of this infection, which can be life-threatening due to possible progression into ventricular tachycardia. Case Presentation: We report a critical case of COVID-19 in a young woman without any medical history. She was admitted to the hospital with a rare, but serious presentation of temporary complete heart block with a skin rash after three weeks of treatment with an antiviral agent and hydroxychloroquine. The result of cardiac monitoring, using a Holter monitor, was normal, and her sinus rhythm returned to normal without any interventions. Conclusion: This case emphasized the importance of regular follow-ups for patients with COVID-19 and highlighted the need for attention to unusual presentations, such as brief episodes of unconsciousness and chest pain.</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="87607">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87608">
                <text>covid-19, SARS-CoV-2, arrhythmia, Skin manifestation, Complete heart block, Cutaneous rash, itching rash</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="87609">
                <text>Caspian Journal of Internal Medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="87610">
                <text>Babol University of Medical Sciences</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="87611">
                <text>Internal medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
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