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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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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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                <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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                <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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                <text>2021</text>
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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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                <text>10.3390/atmos12020184</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>Meteorology. Climatology</text>
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                  <text>Dominio científico: Coronavirus</text>
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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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                <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>Science</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
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            <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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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Célida Juliana de Oliveira, João Cruz Neto, Emanuel Messias Silva Feitosa, Kely Vanessa Leite Gomes da Silva</text>
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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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              <elementText elementTextId="87669">
                <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>
            <description>An unambiguous reference to the resource within a given context</description>
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                <text>10.5902/2179769263043</text>
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            <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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                <text>Universidade Federal de Santa Maria</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>Medicine, Nursing</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>Title</name>
            <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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                <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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                <text>Korean Society of Epidemiology</text>
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                <text>Medicine, Medicine (General)</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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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Predictors of Intensive Care Unit admission in patients with coronavirus disease 2019 (COVID-19)</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87684">
                <text>Maria Viviana Carlino, Alfonso Sforza, Mario Guarino, Natja Valenti, Flavio  Cesaro, Anita Costanzo, Giovanna Cristiano</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87685">
                <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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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87686">
                <text>2020</text>
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            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87687">
                <text>dyspnea, Hypoxemia, lactate, arterial blood gas analysis, alveolar-arterial oxygen gradient</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="87688">
                <text>10.4081/monaldi.2020.1410</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="87689">
                <text>Monaldi Archives for Chest Disease</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="87690">
                <text>PAGEPress Publications</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="87691">
                <text>Medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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  </item>
  <item itemId="10505" 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>
                </elementText>
              </elementTextContainer>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
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      </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="87692">
                <text>Impact of Meteorological Parameters on the COVID-19 Incidence: The Case of the City of Oran, Algeria</text>
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            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87693">
                <text>Farid Rahal, Salima Rezak, Fatima Zohra Baba Hamed</text>
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          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87694">
                <text>The current coronavirus disease 2019 (COVID-19) pandemic in the major countries of the world has become a serious threat to the health of all human beings. A better understanding of the effective parameters in infection spreading can bring about a logical measurement toward COVID-19. Among these parameters, we find the climatic factors that can play an important role in the spread of the COVID-19 epidemic. We have studied this phenomenon in the city of Oran in Algeria, which experienced its first case of COVID-19 on March 19, 2020. In this study, the main parameters, including the number of infected people with COVID-19, the average, minimum and maximum temperatures, the relative humidity rate and the wind intensity. A first analysis of the data with a Spearman rank correlation test did not yield significant results. Taking into account the average incubation period to adjust the data made it possible, during a second analysis, to show that the minimum temperature is significantly correlated with the new cases of COVID-19 in Oran city, but further studies over longer periods with additional parameters are needed to better understand this matter.</text>
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          </element>
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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="87695">
                <text>2021</text>
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            </elementTextContainer>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87696">
                <text>covid-19, incubation period, temperature, humidity, wind</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="87697">
                <text>10.29333/jcei/9562</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="87698">
                <text>Journal of Clinical and Experimental Investigations</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="87699">
                <text>Association of Health Investigations</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="87700">
                <text>Medicine</text>
              </elementText>
            </elementTextContainer>
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  <item itemId="10506" public="1" featured="0">
    <fileContainer>
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        <src>https://www.socictopen.socict.org/files/original/9d26c29b32073f074850ad75ecebb411.pdf</src>
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          <name>Dublin Core</name>
          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
        </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="87701">
                <text>Investigation of the Risk Awareness of Wearing Masks by the Public during COVID-19 According to the Health Belief Questionnaires of Shanxi Province Residents</text>
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            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87702">
                <text>Hou Ruyi, Duan Tingyu, Sui Chunying, Wu Yibo, Wang Xiujun, Wang Yujie, Sun Yu</text>
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            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87703">
                <text>When some parts of the world are still debating whether the public wearing masks will help prevent and control the COVID-19. We have used questionnaires to investigate the wearing of masks and its influencing factors among residents in 11 cities in Shanxi Province. The questionnaire was designed based on the health belief model. We processed the collected data using the structural equation method. The results we got are as follows: (1) the average score of perceived severity is 3.14, indicating that the respondents had a strong sense of risk; (2) The average score of perceived benefits was 4.00, indicating that respondents thought that wearing masks can prevent COVID-19; (3) The average score of perceived barriers was 2.42, indicating that the respondents believed that there were fewer barriers against wearing masks during the epidemic; (4) The average score of perceived susceptibility was 3.23, indicating that respondents believed that they had a strong risk awareness of COVID-19 infection; (5) The average score of self-efficacy was 4.00, indicating that respondents had a strong belief in wearing masks correctly. The structural equation model shows that self-efficacy (λ = 0.40) and perceived susceptibility (λ = −0.15) had direct effects on the behavior of wearing masks. A wide range of mediating effects exists in the model. Perceived severity has an effect on the behavior of wearing masks through perceived susceptibility (λ = 0.41), perceived benefits through self-efficacy (λ = 0.68) and perceived susceptibility (λ = −0.35), and perceived barriers through self-efficacy (λ = −0.28). People are in the early adopter phase. Each dimension has a direct or indirect impact on the wearing of masks during the COVID-19 epidemic.</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="87704">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87705">
                <text>covid-19, risk, mask-wearing behavior, Health Belief Model, structural equation model, diffusion of innovation theory</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="87706">
                <text>10.2991/jracr.k.210111.001</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="87707">
                <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="87708">
                <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="87709">
                <text>Engineering (General). Civil engineering (General), Risk in industry. Risk management</text>
              </elementText>
            </elementTextContainer>
          </element>
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  </item>
  <item itemId="10507" public="1" featured="0">
    <fileContainer>
      <file fileId="10507">
        <src>https://www.socictopen.socict.org/files/original/311c424b39623d5717e9161a7a9d8f50.pdf</src>
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          <name>Dublin Core</name>
          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
        </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="87710">
                <text>Allocating medical resources fairly: the CSG bioethics guide</text>
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            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87711">
                <text>Ruth Macklin</text>
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            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87712">
                <text>On April 12, 2020, a bioethics guide for allocating scarce hospital resources during the current Covid-19 pandemic was posted on the website of the Consejo de Salubridad General (CSG) of the Government of Mexico. The guide, entitled Guía bioética para asignación de recursos limitados de medicina crítica en situación de emergencia, was intended as a preliminary document, but the website posting did not describe it as a first step in the process. The publicity resulted in a wide array of comments and criticisms. That first version posted on the CSG website contained an age-based criterion for breaking a tie between two or more medically eligible patients who needed of a ventilator: younger patients would have prefer­ence over older ones. The final version of the guide eliminated that criterion and instead, relied on the leading public health principle, “save the most lives”, without regard to personal characteristics other than the possibility of benefitting from the scarce medical resources.</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="87713">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87714">
                <text>pandemics, ethics, social justice</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="87715">
                <text>10.21149/11486</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="87716">
                <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="87717">
                <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="87718">
                <text>Public aspects of medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
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  </item>
  <item itemId="10508" public="1" featured="0">
    <fileContainer>
      <file fileId="10508">
        <src>https://www.socictopen.socict.org/files/original/52495b1c5da63d18d00b0f77b019af11.pdf</src>
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          <name>Dublin Core</name>
          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
        </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="87719">
                <text>Early conscious prone positioning in patients with COVID-19 receiving continuous positive airway pressure: a retrospective analysis</text>
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            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87720">
                <text>Ann Smith, Katrina J Curtis, Stuart Winearls, Ema L Swingwood, Charlotte L Hardaker, Amy M Smith, Fraser M Easton, Katherine J Millington, Rebecca S Hall</text>
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            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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                <text>The global pandemic of COVID-19 has challenged the management of hypoxaemic respiratory failure and strained intensive care unit resources. While prone positioning (PP) is an established therapy in mechanically ventilated patients with acute respiratory distress syndrome (ARDS), its role in conscious patients is less well defined. We retrospectively reviewed our experience of implementing early PP in a cohort of 24 patients with acute hypoxaemic respiratory failure due to COVID-19 who required support with continuous positive airway pressure (CPAP). The use of PP alongside CPAP significantly increased both the ROX index and arterial oxygen pressure:fractional inspired oxygen (PaO2:FiO2) ratio from baseline values (ROX index: 7.0±2.5 baseline vs 11.4±3.7 CPAP+PP, p&amp;lt;0.0001; PaO2:FiO2 ratio: 143±73 mm Hg baseline vs 252±87 mm Hg CPAP+PP, p&amp;lt;0.01), and the changes to both the ROX index and PaO2:FiO2 ratio remained significant 1 hour after cessation of proning. The mean duration of PP in the first 24 hours was 8±5 hours. Few complications were observed and PP was continued for a mean of 10±5 days. From our experience in a dedicated COVID-19 respiratory high care unit, PP alongside CPAP therapy was feasible, tolerated, safe and improved oxygenation. The use of conscious PP in ARDS warrants further investigation in randomised controlled trials.</text>
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            <name>Date</name>
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              <elementText elementTextId="87722">
                <text>2020</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>
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              <elementText elementTextId="87723">
                <text>10.1136/bmjresp-2020-000711</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="87724">
                <text>Epidemiology and Health</text>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="87725">
                <text>Korean Society of Epidemiology</text>
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            </elementTextContainer>
          </element>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Medicine, Diseases of the respiratory system</text>
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        <src>https://www.socictopen.socict.org/files/original/6ad89372eec2b755e1b7a98d71d51fd5.pdf</src>
        <authentication>728f8ba2868052482f41f1e25a91a28a</authentication>
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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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                  <text>Dominio científico: Coronavirus</text>
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      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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        <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>
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                <text>The effect of the coronavirus disease 2019 lockdown on type A acute aortic dissection: Insights from Bologna.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Giacomo Murana, Gianluca Folesani, Luca Botta, Luca Di Marco, Alessandro Leone, Antonino Loforte, Davide Pacini</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="87729">
                <text>2020</text>
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            <name>Identifier</name>
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                <text>10.1016/j.xjtc.2020.10.002</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="87731">
                <text>JTCVS techniques</text>
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