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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>Assessing the mental health condition of home-confined university level students of Bangladesh due to the COVID-19 pandemic.</text>
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                <text>Rajon Banik, Sabina Yasmin, Ferdous Bin Ali, Nahid Salma, Muhammad Khairul Alam</text>
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                <text>The COVID-19 pandemic drove the Government of Bangladesh to shut down educational institutions, which had an enormous effect on the psychological health of students. This study aimed to assess the mental health status of Bangladeshi university students during the lockdown period. Through an online-based questionnaire, information was collected from 509 university students of Bangladesh from June 19, 2020, to June 28, 2020, using convenient sampling. K-means clustering was applied to organize students according to their psychological health score, and confirmatory factor analysis (CFA) was also conducted to determine the association among the student's activities and their mental health during the pandemic. In addition, these associations were examined through chi-square test and ordinal logistic regression. Students were categorized into four categories where 4.32% had mild, 72.7% had moderate, 12.57% had moderately severe, and 10.41% suffered from severe mental health imbalance. The results showed that having family members affected by the coronavirus, facing insecurity, using social media, and smoking habits increased the mental health imbalances of students; in contrast, being worried about studying, future career, spending more time with family members, and participation in household chores reduced the mental health disturbances of students. On the other hand, the results of the ordinal logistic regression indicated that sleeping time and participation in household chores were preventive factors for students. This study reveals that a large proportion of University students of Bangladesh suffered from mental health disturbances during the lockdown period. Implementing mental health plans and providing job security, improved communication approaches toward family members, not flattening illusive news, and preoccupation in household activities may assist to enhance the mental health status of the university students. The authors believe that this study's findings will be helpful to expedite the rate of attaining the sustainable development goal associated with health status in Bangladesh.</text>
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                <text>2021</text>
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                <text>covid-19, lockdown, university students, Mental health assessment</text>
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                <text>10.1007/s10389-021-01542-w</text>
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                <text>Zeitschrift fur Gesundheitswissenschaften = Journal of public health</text>
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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>All India difficult airway association (AIDAA) consensus guidelines for airway management in the operating room during the COVID-19 pandemic</text>
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                <text>Rakesh Garg, Jigeeshu Vasishtha Divatia, Pankaj Kundra, Sabyasachi  Das, Syed Moied Ahmed, Sheila Nainan Myatra, Amit Shah, Apeksh Patwa, Jeson Rajan Doctor, Sumalatha Radhakrishna Shetty</text>
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                <text>Severe acute respiratory syndrome corona virus 2 (SARS-CoV-2) which causes coronavirus disease (COVID-19) is a highly contagious virus. The closed environment of the operation room (OR) with aerosol generating airway management procedures increases the risk of transmission of infection among the anaesthesiologists and other OR personnel. Wearing complete, fluid impermeable personal protective equipment (PPE) for airway related procedures is recommended. Team preparation, clear methods of communication and appropriate donning and doffing of PPEs are essential to prevent spread of the infection. Optimal pre oxygenation, rapid sequence induction and video laryngoscope aided tracheal intubation (TI) are recommended. Supraglottic airways (SGA) and surgical cricothyroidotomy should be preferred for airway rescue. High flow nasal oxygen, face mask ventilation, nebulisation, small bore cannula cricothyroidotomy with jet ventilation should be avoided. Tracheal extubation should be conducted with the same levels of precaution as TI. The All India Difficult Airway Association (AIDAA) aims to provide consensus guidelines for safe airway management in the OR, while attempting to prevent transmission of infection to the OR personnel during the COVID-19 pandemic.</text>
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                <text>2020</text>
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                <text>coronavirus, Pandemic, airway, personal protective equipment, Operation Room, SARS-CoV-2, COVID-19</text>
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                <text>DOI: 10.4103/ija.IJA_498_20</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Indian Journal of Anaesthesia</text>
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          <element elementId="45">
            <name>Publisher</name>
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                <text>Wolters Kluwer Medknow Publications</text>
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                <text>Anesthesiology</text>
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              <name>Title</name>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
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                <text>Aetiological agents for pulmonary exacerbations in children with cystic fibrosis: An observational study from a tertiary care centre in northern India</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Rakesh Lodha, Sushil Kumar Kabra, Immaculata Xess, Arti Kapil, Urvashi Singh, Guruprasad R Medigeshi, Balaji Arvind</text>
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                <text>Background &amp; objectives: Pulmonary disease is the main cause of morbidity and mortality in cystic fibrosis (CF). The infection occurs with a unique spectrum of bacterial pathogens that are usually acquired in an age-dependent fashion. The objective of this study was to find out the aetiological agents in respiratory specimens from children with CF during pulmonary exacerbation and relate with demographic variables. Methods: In this observational study, airway secretions from children (n=104) with CF presenting with pulmonary exacerbations were collected and tested for bacteria, fungi, mycobacteria and viral pathogens using appropriate laboratory techniques. The frequencies of isolation of various organisms were calculated and associated with various demographic profiles. Results: Bacteria were isolated in 37 (35.5%) and viral RNA in 27 (29.3%) children. Pseudomonas was the most common bacteria grown in 31 (29.8%) followed by Burkholderia cepacia complex (Bcc) in three (2.8%) patients. Among viruses, Rhinovirus was the most common, identified in 16 (17.4%) samples followed by coronavirus in four (4.3%). Fungi and mycobacteria were isolated from 23 (22.1%) and four (3.8%) children, respectively. Aspergillus flavus was the most common fungus isolated in 13 (12.5%) children. Interpretation &amp; conclusions: Pseudomonas was the most common organism isolated during exacerbation. Non-tuberculous mycobacteria were not isolated, whereas infection with Bcc and Mycobacterium tuberculosis was observed, which could probably have a role in CF morbidity. Polymicrobial infections were associated with severe exacerbations.</text>
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                <text>2020</text>
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                <text>acute exacerbation - children - cystic fibrosis - microbiology - pseudomonas - polymicrobial infection</text>
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                <text>DOI: 10.4103/ijmr.IJMR_1275_18</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="28351">
                <text>Indian Journal of Medical Research</text>
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          <element elementId="45">
            <name>Publisher</name>
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              <elementText elementTextId="28352">
                <text>Wolters Kluwer Medknow Publications</text>
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            <name>Coverage</name>
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                <text>Medicine</text>
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              <name>Title</name>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Test, Trace, and Treatment Strategy to Control COVID-19 Infection Among Hospital Staff in a COVID-19 Referral Hospital in Indonesia</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Rakhmad Hidayat, Nurul Aini, Azizah Fitriana Nurul Ilmi, Faiza Azzahroh, Astuti Giantini</text>
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            <description>An account of the resource</description>
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                <text>Background: COVID-19 infection is caused by a novel coronavirus. One of the most used strategies that can be used to control the spread of COVID-19 is the 3T (test, trace, and treatment) strategy. This study aimed to evaluate the 3T strategy to control COVID-19 infection in a COVID-19 Referral Hospital in Depok, West Java, Indonesia. Methods: this is a cross-sectional study conducted at the University of Indonesia Hospital. The study was conducted in June 2020 with 742 participants (staff members) using secondary data from polymerase chain reaction (PCR) test results. We presented data in the descriptive form and performed bivariate analysis using the chi-square/Fischer test for categorical data. Results: the PCR test results were positive in 83 (11.1%) participants, with a case-per-tracing ratio of 1:24 and 1:2 in the first and third phases of tracing, respectively. The COVID-19 case graph for the participants decreased along with the implementation of the 3T strategy. The positivity rate in the first phase of tracing was 20% and decreased to 5% in the third phase of tracing. Staff with confirmed positive test results were advised to isolate themselves (hospital or self-isolation). Hospital isolation was found to be associated with the duration of PCR test conversion (p</text>
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                <text>2020</text>
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                <text>covid-19, PCR-Test, 3t strategy, universitas indonesia hospital</text>
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                <text>Acta Medica Indonesiana</text>
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                <text>Interna Publishing</text>
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                <text>Internal medicine</text>
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                <text>The Effects of the COVID-19 Pandemic and Lockdown on Routine Hospital Care for Other Illnesses.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Ralf Kuhlen, Daniel Schmithausen, Claudia Winklmair, Jens Schick, Peter Scriba</text>
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                <text>2020</text>
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            <description>An unambiguous reference to the resource within a given context</description>
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                <text>10.3238/arztebl.2020.0488</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>Deutsches Arzteblatt international</text>
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            <element elementId="50">
              <name>Title</name>
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                <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>
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                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="84201">
                <text>Can We Measure a COVID-19-Related Slowdown in Atmospheric CO&lt;sub&gt;2&lt;/sub&gt; Growth? Sensitivity of Total Carbon Column Observations</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="84202">
                <text>Ralf Sussmann, Markus Rettinger</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="84203">
                <text>The COVID-19 pandemic is causing projected annual CO2 emission reductions up to −8% for 2020. This approximately matches the reductions required year on year to fulfill the Paris agreement. We pursue the question whether related atmospheric concentration changes may be detected by the Total Carbon Column Observing Network (TCCON), and brought into agreement with bottom-up emission-reduction estimates. We present a mathematical framework to derive annual growth rates from observed column-averaged carbon dioxide (XCO2) including uncertainties. The min–max range of TCCON growth rates for 2012–2019 was [2.00, 3.27] ppm/yr with a largest one-year increase of 1.07 ppm/yr for 2015/16 caused by El Niño. Uncertainties are 0.38 [0.28, 0.44] ppm/yr limited by synoptic variability, including a 0.05 ppm/yr contribution from single-measurement precision. TCCON growth rates are linked to a UK Met Office forecast of a COVID-19-related reduction of −0.32 ppm yr−2 in 2020 for Mauna Loa. The separation of TCCON-measured growth rates vs. the reference forecast (without COVID-19) is discussed in terms of detection delay. A 0.6 [0.4, 0.7]-yr delay is caused by the impact of synoptic variability on XCO2, including a ≈1-month contribution from single-measurement precision. A hindrance for the detection of the COVID-19-related growth rate reduction in 2020 is the ±0.57 ppm/yr uncertainty for the forecasted reference case (without COVID-19). Only assuming the ongoing growth rate reductions increasing year-on-year by −0.32 ppm yr−2 would allow a discrimination of TCCON measurements vs. the unperturbed forecast and its uncertainty—with a 2.4 [2.2, 2.5]-yr delay. Using no forecast but the max–min range of the TCCON-observed growth rates for discrimination only leads to a factor ≈2 longer delay. Therefore, the forecast uncertainties for annual growth rates must be reduced. This requires improved terrestrial ecosystem models and ocean observations to better quantify the land and ocean sinks dominating interannual variability.</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="84204">
                <text>2020</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="84205">
                <text>covid-19, lockdown, TCCON, fossil fuel emission reduction, atmospheric CO&lt;sub&gt;2&lt;/sub&gt; growth, total carbon column observations</text>
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            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="84206">
                <text>10.3390/rs12152387</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="84207">
                <text>Epidemiology and Health</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="84208">
                <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>
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              <elementText elementTextId="84209">
                <text>Science</text>
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        <src>https://www.socictopen.socict.org/files/original/544db7fa71415cd7ecf9b5b4e64e6807.pdf</src>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
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              </elementTextContainer>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
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        </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>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="23585">
                <text>Social media as a recruitment platform for a nationwide online survey of COVID-19 knowledge, beliefs, and practices in the United States: methodology and feasibility 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="23586">
                <text>Ralph J. DiClemente, Yesim Tozan, Abbey M. Jones, Joshua Foreman, Shahmir  H. Ali, Ariadna Capasso</text>
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          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="23587">
                <text>Abstract Background The COVID-19 pandemic has evolved into one of the most impactful health crises in modern history, compelling researchers to explore innovative ways to efficiently collect public health data in a timely manner. Social media platforms have been explored as a research recruitment tool in other settings; however, their feasibility for collecting representative survey data during infectious disease epidemics remain unexplored. Objectives This study has two aims 1) describe the methodology used to recruit a nationwide sample of adults residing in the United States (U.S.) to participate in a survey on COVID-19 knowledge, beliefs, and practices, and 2) outline the preliminary findings related to recruitment, challenges using social media as a recruitment platform, and strategies used to address these challenges. Methods An original web-based survey informed by evidence from past literature and validated scales was developed. A Facebook advertisement campaign was used to disseminate the link to an online Qualtrics survey between March 20–30, 2020. Two supplementary male-only and racial minority- targeted advertisements were created on the sixth and tenth day of recruitment, respectively, to address issues of disproportionate female- and White-oriented gender- and ethnic-skewing observed in the advertisement’s reach and response trends. Results In total, 6602 participant responses were recorded with representation from all U.S. 50 states, the District of Columbia, and Puerto Rico. The advertisements cumulatively reached 236,017 individuals and resulted in 9609 clicks (4.07% reach). Total cost of the advertisement was $906, resulting in costs of $0.09 per click and $0.18 per full response (completed surveys). Implementation of the male-only advertisement improved the cumulative percentage of male respondents from approximately 20 to 40%. Conclusions The social media advertisement campaign was an effective and efficient strategy to collect large scale, nationwide data on COVID-19 within a short time period. Although the proportion of men who completed the survey was lower than those who didn’t, interventions to increase male responses and enhance representativeness were successful. These findings can inform future research on the use of social media recruitment for the rapid collection of survey data related to rapidly evolving health crises, such as COVID-19.</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="23588">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="23589">
                <text>Knowledge, practices, infectious disease, coronavirus, beliefs, COVID-19</text>
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            </elementTextContainer>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="23590">
                <text>DOI: 10.1186/s12874-020-01011-0</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="23591">
                <text>BMC Medical Research Methodology</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="23592">
                <text>BMC</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="23593">
                <text>Medicine (General)</text>
              </elementText>
            </elementTextContainer>
          </element>
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          <name>Dublin Core</name>
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          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
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                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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              </elementTextContainer>
            </element>
          </elementContainer>
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    <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>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="28624">
                <text>Infidelity of SARS-CoV Nsp14-exonuclease mutant virus replication is revealed by complete genome sequencing.</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="28625">
                <text>Ralph S. Baric, Xiao-Tao Lü, Mark R. Denison, Timothy B. Stockwell, Kelvin Li, Rachel L. Graham, Rebecca A Halpin, David J Spiro, Michelle M Becker, Eli Venter, Lance D Eckerle, Sana Scherbakova</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="28626">
                <text>Most RNA viruses lack the mechanisms to recognize and correct mutations that arise during genome replication, resulting in quasispecies diversity that is required for pathogenesis and adaptation. However, it is not known how viruses encoding large viral RNA genomes such as the Coronaviridae (26 to 32 kb) balance the requirements for genome stability and quasispecies diversity. Further, the limits of replication infidelity during replication of large RNA genomes and how decreased fidelity impacts virus fitness over time are not known. Our previous work demonstrated that genetic inactivation of the coronavirus exoribonuclease (ExoN) in nonstructural protein 14 (nsp14) of murine hepatitis virus results in a 15-fold decrease in replication fidelity. However, it is not known whether nsp14-ExoN is required for replication fidelity of all coronaviruses, nor the impact of decreased fidelity on genome diversity and fitness during replication and passage. We report here the engineering and recovery of nsp14-ExoN mutant viruses of severe acute respiratory syndrome coronavirus (SARS-CoV) that have stable growth defects and demonstrate a 21-fold increase in mutation frequency during replication in culture. Analysis of complete genome sequences from SARS-ExoN mutant viral clones revealed unique mutation sets in every genome examined from the same round of replication and a total of 100 unique mutations across the genome. Using novel bioinformatic tools and deep sequencing across the full-length genome following 10 population passages in vitro, we demonstrate retention of ExoN mutations and continued increased diversity and mutational load compared to wild-type SARS-CoV. The results define a novel genetic and bioinformatics model for introduction and identification of multi-allelic mutations in replication competent viruses that will be powerful tools for testing the effects of decreased fidelity and increased quasispecies diversity on viral replication, pathogenesis, and evolution.</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="28627">
                <text>2010</text>
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            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="28628">
                <text>DOI: 10.1371/journal.ppat.1000896</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="28629">
                <text>PLoS Pathogens</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="28630">
                <text>Public Library of Science (PLoS)</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>
            <elementTextContainer>
              <elementText elementTextId="28631">
                <text>Biology (General), Immunologic diseases. Allergy</text>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                <elementText elementTextId="1">
                  <text>Coronavirus</text>
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              </elementTextContainer>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
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                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="55508">
                <text>Epidemiology and Pathogenesis of Coronavirus Disease (COVID-19)</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="55509">
                <text>Ram Bahadur Khadka, Ravin Bhandari, Rabin Gyawali, Balram Neupane, Dhakaraj Pant</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="55510">
                <text>An acute respiratory syndrome (ARDS) episode was first identified in Wuhan, China, and later officiallydesignated as COVID-19 by the WHO. It is caused by SARS-CoV-2 that is likely associated with zoonotictransmission. Based on the live data from live reference website Worldometer which provides counters and realtime statistics for diverse topics data, COVID-19 has influenced 186 nations. China reported 25% of cases, while75% of the remaining cases were reported in other nations. The clinical and genetic characteristics of SARSCoV-2 support the similar pathogenesis pattern between SARS-CoV and MERS-CoV. The elevated level ofcytokine release during the infection caused the failure of multiple organs leading to the patient death. Treatmentof patients depends on the clinical course and symptoms associated with the COVID-19. Several prevention andcontrol measures including; active surveillance, use of masks, and hand sanitizers are recommended to stop thespread of this virus. Besides, COVID-19 was sampled using a throat swab to detect the viral nucleic acid usingReal Time Polymerase Chain Reaction (RT-PCR), for early detection and treatments evaluation. In this review,we comprehensively summarized the COVID-19 epidemiology, pathogenesis and diagnosis, using suitableliteratures obtained from reliable sources.</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="55511">
                <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="55512">
                <text>epidemiology, MERS-CoV, coronavirus, pathogenesis, covid-19, SARS-CoV-2</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="55513">
                <text>10.21608/nrmj.2020.84016</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="55514">
                <text>Novel Research in Microbiology Journal</text>
              </elementText>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="55515">
                <text>Ain Shams University</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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              <name>Title</name>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Early trends of socio-economic and health indicators influencing case fatality rate of COVID-19 pandemic</text>
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                <text>Ram Niwas, Naveen Dutt, Shahir Asfahan, Gopal Chawla, Aneesa Shahul, Neeraj Gupta</text>
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                <text>Coronavirus disease 2019, i.e. COVID-19, started as an outbreak in a district of China and has engulfed the world in a matter of 3 months. It is posing a serious health and economic challenge worldwide. However, case fatality rates (CFRs) have varied amongst various countries ranging from 0 to 8.91%. We have evaluated the effect of selected socio-economic and health indicators to explain this variation in CFR. Countries reporting a minimum of 50 cases as on 14th March 2020, were selected for this analysis. Data about the socio-economic indicators of each country was accessed from the World bank database and data about the health indicators were accessed from the World Health Organisation (WHO) database. Various socioeconomic indicators and health indicators were selected for this analysis. After selecting from univariate analysis, the indicators with the maximum correlation were used to build a model using multiple variable linear regression with a forward selection of variables and using adjusted R-squared score as the metric. We found univariate regression results were significant for GDP (Gross Domestic Product) per capita, POD 30/70 (Probability Of Dying Between Age 30 And Exact Age 70 From Any of Cardiovascular Disease, Cancer, Diabetes or Chronic Respiratory Disease), HCI (Human Capital Index), GNI(Gross National Income) per capita, life expectancy, medical doctors per 10000 population, as these parameters negatively corelated with CFR (rho = -0.48 to -0.38 , p</text>
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                <text>10.4081/monaldi.2020.1388</text>
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                <text>Monaldi Archives for Chest Disease</text>
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            <name>Publisher</name>
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                <text>PAGEPress Publications</text>
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            <name>Coverage</name>
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                <text>Medicine</text>
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