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                  <text>Dominio científico: Coronavirus</text>
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                <text>Management of COVID-19: the risks associated with treatment are clear, but the benefits remain uncertain</text>
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                <text>Even though the early reports from China provided advance warning of what was to come, the COVID-19 pandemic has spread throughout the world with devastating consequences. Emergency measures are being implemented to reduce the magnitude of the public health crisis, prevent healthcare facilities from becoming overwhelmed and reduce the death toll of the disease. Containment strategies to mitigate viral transmission and emergency measures to increase the capacity of each country to provide intensive care are at the forefront of the public health management of the epidemic, even though the detrimental social and psychological effects of quarantine are evident on a global scale. Optimal management of critically ill patients with COVID-19 is also unclear, and the initial suggestion for early intubation as in typical ARDS may have caused significant harm. The management of mild cases of confirmed infection is another point of controversy, as drugs which may be repurposed for COVID-19 treatment have significant, potentially irreversible toxic effects and their use in mild cases of a viral illness which is typically self-limited may be harmful.</text>
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                <text>mechanical ventilation, chloroquine, Critical care, SARS-CoV-2, COVID-19</text>
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                <text>DOI: 10.4081/monaldi.2020.1342</text>
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                <text>Monaldi Archives for Chest Disease</text>
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                <text>A realistic two-strain model for MERS-CoV infection uncovers the high risk for epidemic propagation.</text>
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                <text>Middle East Respiratory Syndrome Coronavirus (MERS-CoV) causes severe acute respiratory illness with a case fatality rate (CFR) of 35,5%. The highest number of MERS-CoV cases are from Saudi-Arabia, the major worldwide hotspot for this disease. In the absence of neither effective treatment nor a ready-to-use vaccine and with yet an incomplete understanding of its epidemiological cycle, prevention and containment measures can be derived from mathematical models of disease epidemiology. We constructed 2-strain models to predict past outbreaks in the interval 2012-2016 and derive key epidemiological information for Macca, Madina and Riyadh. We approached variability in infection through three different disease incidence functions capturing social behavior in response to an epidemic (e.g. Bilinear, BL; Non-monotone, NM; and Saturated, SAT models). The best model combination successfully anticipated the total number of MERS-CoV clinical cases for the 2015-2016 season and accurately predicted both the number of cases at the peak of seasonal incidence and the overall shape of the epidemic cycle. The evolution in the basic reproduction number (R0) warns that MERS-CoV may easily take an epidemic form. The best model correctly captures this feature, indicating a high epidemic risk (1≤R0≤2,5) in Riyadh and Macca and confirming the alleged co-circulation of more than one strain. Accurate predictions of the future MERS-CoV peak week, as well as the number of cases at the peak are now possible. These results indicate public health agencies should be aware that measures for strict containment are urgently needed before new epidemics take off in the region.</text>
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                <text>DOI: 10.1371/journal.pntd.0008065</text>
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                <text>PLoS Neglected Tropical Diseases</text>
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                <text>Arctic medicine. Tropical medicine, Public aspects of medicine</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Christian Napoli, Stefano Ferracuti, Paolo Roma, Sílvia Biondi, Marco Colasanti, Eleonora Ricci, Cristina Mazza</text>
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                <text>The uncontrolled spread of the coronavirus disease 2019 (COVID-19) has called for unprecedented measures, to the extent that the Italian government has imposed a quarantine on the entire country. Quarantine has a huge impact and can cause considerable psychological strain. The present study aims to establish the prevalence of psychiatric symptoms and identify risk and protective factors for psychological distress in the general population. An online survey was administered from 18–22 March 2020 to 2766 participants. Multivariate ordinal logistic regression models were constructed to examine the associations between sociodemographic variables; personality traits; depression, anxiety, and stress. Female gender, negative affect, and detachment were associated with higher levels of depression, anxiety, and stress. Having an acquaintance infected was associated with increased levels of both depression and stress, whereas a history of stressful situations and medical problems was associated with higher levels of depression and anxiety. Finally, those with a family member infected and young person who had to work outside their domicile presented higher levels of anxiety and stress, respectively. This epidemiological picture is an important benchmark for identifying persons at greater risk of suffering from psychological distress and the results are useful for tailoring psychological interventions targeting the post-traumatic nature of the distress.</text>
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                <text>DOI: 10.3390/ijerph17093165</text>
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                <text>International Journal of Environmental Research and Public Health</text>
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                <text>MDPI AG</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Preparedness of Frontline Doctors in Jordan Healthcare Facilities to COVID-19 Outbreak</text>
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                <text>Ahmad Jaber, Isam Bsisu, Mahmoud Almustafa, Aiman Suleiman, Hasan Guzu, Abeer Santarisi, Murad Alsatari, Ala’ Abbad, Taima’a Harb, Ahmad Abuhejleh, Nisreen Nadi, Abdelkarim Aloweidi</text>
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                <text>The number of COVID-19 (Coronavirus Disease of 2019) cases in Jordan is rising rapidly. A serious threat to the healthcare system appears on the horizon. Our study aims to evaluate preparedness of Jordanian frontline doctors to the worsening scenario. It has a questionnaire-based cross-sectional structure. The questionnaire was designed to evaluate preparedness according to knowledge about virus transmission and protective measures, adherence to protection guidelines, and psychological impacts affecting doctors. Institutional factors affecting doctors’ readiness like adopting approach protocols and making protection equipment available were investigated; 308 doctors from different healthcare facilities participated (response rate: 53.9%). Approximately 25% of doctors (n = 77) previously took care of COVID-19 patients, and 173 (56.2%) have institutional COVID-19 approach protocols. Only 57 doctors (18.5%) reported all PPE (Personal Protective Equipment) available. The self-reported score of preparedness to deal with COVID-19 patients was 4.9 ± 2.4. Doctors having institutional protocols for dealing with COVID-19 cases and those with sustained availability of PPE reported higher scores of preparedness (5.5 ± 2.3 and 6.2 ± 2.1 with p &lt; 0.001, respectively). Correlations with knowledge score, adherence to PPE score, and psychological impacts were investigated. The study revealed multiple challenges and insufficiencies that can affect frontline doctors’ preparedness. Policy makers are urged to take these findings into consideration and to act promptly.</text>
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                <text>Awareness, Pandemic Preparedness, COVID-19, frontline doctors</text>
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                <text>DOI: 10.3390/ijerph17093181</text>
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                <text>International Journal of Environmental Research and Public Health</text>
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                <text>MDPI AG</text>
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                <text>Medicine</text>
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                <text>Bioenergy Crisis in Coronavirus Diseases?</text>
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                <text>Abhijit Das, Daniel Kondziella, Anirban Dutta, Michal K Stachowiak</text>
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                <text>Coronavirus disease (COVID-19) has been declared as a pandemic by the World Health Organization (WHO).[...]</text>
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                <text>2020</text>
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                <text>DOI: 10.3390/brainsci10050277</text>
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                <text>Brain Sciences</text>
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            <description>An entity responsible for making the resource available</description>
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                <text>MDPI AG</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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              <elementText elementTextId="30446">
                <text>Neurosciences. Biological psychiatry. Neuropsychiatry</text>
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  <item itemId="3274" public="1" featured="0">
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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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        <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="30447">
                <text>A Bayesian approach for detecting a disease that is not being modeled.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="30448">
                <text>Ye Ye, Fu-Chiang Tsui, Michael M. Wagner, Gregory F Cooper, Jeffrey P. Ferraro, Per H Gesteland, John M Aronis</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="30449">
                <text>Over the past decade, outbreaks of new or reemergent viruses such as severe acute respiratory syndrome (SARS) virus, Middle East respiratory syndrome (MERS) virus, and Zika have claimed thousands of lives and cost governments and healthcare systems billions of dollars. Because the appearance of new or transformed diseases is likely to continue, the detection and characterization of emergent diseases is an important problem. We describe a Bayesian statistical model that can detect and characterize previously unknown and unmodeled diseases from patient-care reports and evaluate its performance on historical data.</text>
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                <text>DOI: 10.1371/journal.pone.0229658</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="30452">
                <text>PLoS ONE</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="30453">
                <text>Public Library of Science (PLoS)</text>
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                <text>Science, Medicine</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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              <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="30455">
                <text>Extended SIR Prediction of the Epidemics Trend of COVID-19 in Italy and Compared With Hunan, China</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="30456">
                <text>Song Yang, Liu Miao, LI Jing, Han Ke, WANG Jianwei, Yang Shanshan, He Yao, Jia Wangping, Cao Wenzhe, Wang Shengshu, Kou Fuyin, Tai Penggang</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="30457">
                <text>Background: Coronavirus Disease 2019 (COVID-19) is currently a global public health threat. Outside of China, Italy is one of the countries suffering the most with the COVID-19 epidemic. It is important to predict the epidemic trend of the COVID-19 epidemic in Italy to help develop public health strategies.Methods: We used time-series data of COVID-19 from Jan 22 2020 to Apr 02 2020. An infectious disease dynamic extended susceptible-infected-removed (eSIR) model, which covers the effects of different intervention measures in dissimilar periods, was applied to estimate the epidemic trend in Italy. The basic reproductive number was estimated using Markov Chain Monte Carlo methods and presented using the resulting posterior mean and 95% credible interval (CI). Hunan, with a similar total population number to Italy, was used as a comparative item.Results: In the eSIR model, we estimated that the mean of basic reproductive number for COVID-19 was 4.34 (95% CI, 3.04–6.00) in Italy and 3.16 (95% CI, 1.73–5.25) in Hunan. There would be a total of 182 051 infected cases (95%CI:116 114–274 378) under the current country blockade and the endpoint would be Aug 05 in Italy.Conclusion: Italy's current strict measures can efficaciously prevent the further spread of COVID-19 and should be maintained. Necessary strict public health measures should be implemented as soon as possible in other European countries with a high number of COVID-19 cases. The most effective strategy needs to be confirmed in further studies.</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="30458">
                <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="30459">
                <text>Prediction, Italy, coronavirus, COVID-19, epidemics trend</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="30460">
                <text>DOI: 10.3389/fmed.2020.00169</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="30461">
                <text>Frontiers in Medicine</text>
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            </elementTextContainer>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="30462">
                <text>Frontiers Media S.A.</text>
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            </elementTextContainer>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="30463">
                <text>Medicine (General)</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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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Dengue Fever and Severe Dengue in Barbados, 2008–2016</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="30465">
                <text>Fatih Anfasa, T. Alafia Samuels, Byron Martina, Sudip Kumar Dutta, Kirk Osmond Douglas, Marquita Gittens–St. Hilaire</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="30466">
                <text>Analysis of the temporal, seasonal and demographic distribution of dengue virus (DENV) infections in Barbados was conducted using national surveillance data from a total of 3994 confirmed dengue cases. Diagnosis was confirmed either by DENV–specific real time reverse transcriptase polymerase chain reaction (rRT–PCR), or non–structural protein 1 (NS1) antigen or enzyme linked immunosorbent assay (ELISA) tests; a case fatality rate of 0.4% (10/3994) was observed. The prevalence rate of dengue fever (DF) varied from 27.5 to 453.9 cases per 100,000 population among febrile patients who sought medical attention annually. DF cases occurred throughout the year with low level of transmission observed during the dry season (December to June), then increased transmission during rainy season (July to November) peaking in October. Three major dengue epidemics occurred in Barbados during 2010, 2013 and possibly 2016 with an emerging three–year interval. DF prevalence rate among febrile patients who sought medical attention overall was highest among the 10–19 years old age group. The highest DF hospitalisation prevalence rate was observed in 2013. Multiple serotypes circulated during the study period and Dengue virus serotype 2 (DENV–2) was the most prevalent serotype during 2010, whilst DENV–1 was the most prevalent serotype in 2013. Two DENV–1 strains from the 2013 DENV epidemic were genetically more closely related to South East Asian strains, than Caribbean or South American strains, and represent the first ever sequencing of DENV strains in Barbados. However, the small sample size (n = 2) limits any meaningful conclusions. DF prevalence rates were not significantly different between females and males. Public health planning should consider DENV inter–epidemic periodicity, the current COVID–19 pandemic and similar clinical symptomology between DF and COVID–19. The implementation of routine sequencing of DENV strains to obtain critical data can aid in battling DENV epidemics in Barbados.</text>
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              <elementText elementTextId="30467">
                <text>2020</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="30468">
                <text>Dengue, Epidemiology, Arbovirus, DENV, Severe dengue, genetic sequencing</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="30469">
                <text>DOI: 10.3390/tropicalmed5020068</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="30470">
                <text>Tropical Medicine and Infectious Disease</text>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="30471">
                <text>MDPI AG</text>
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            </elementTextContainer>
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          <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="30472">
                <text>Medicine</text>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                <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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                <text>Molecular Evolution and Structural Mapping of N-Terminal Domain in Spike Gene of Middle East Respiratory Syndrome Coronavirus (MERS-CoV)</text>
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="30474">
                <text>Mushira A Enani, Asif Naeem, Hadel Alsaran, Majed F. Alghoribi, Waleed Aljabr, Maaweya  E. Hamed, Bandar Alosaimi</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="30475">
                <text>The Middle East Respiratory Syndrome Coronavirus (MERS-CoV) is a lethal zoonotic pathogen circulating in the Arabian Peninsula since 2012. There is no vaccine for MERS and anti-viral treatment is generally not applicable. We investigated the evolution of the MERS-CoV spike gene sequences and changes in viral loads over time from patients in Saudi Arabia from 2105–2017. All the MERS-CoV strains belonged to lineage 5, and showed high sequence homology (99.9%) to 2017 strains. Recombination analysis showed a potential recombination event in study strains from patients in Saudi Arabia. The spike gene showed eight amino acid substitutions, especially between the A1 and B5 lineage, and contained positively selected codon 1020. We also determined that the viral loads were significantly (p &lt; 0.001) higher in fatal cases, and virus shedding was prolonged in some fatal cases beyond 21 days. The viral concentration peaked during the first week of illness, and the lower respiratory specimens had higher levels of MERS-CoV RNA. The presence of the diversifying selection and the topologies with the structural mapping of residues under purifying selection suggested that codon 1020 might have a role in the evolution of spike gene during the divergence of different lineages. This study will im­prove our understanding of the evolution of MERS-CoV, and also highlights the need for enhanced surveillance in humans and dromedaries. The presence of amino acid changes at the N-terminal domain and structural mapping of residues under positive selection at heptad repeat 1 provides better insight into the adaptive evolution of the spike gene and might have a potential role in virus-host tropism and pathogenesis.</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="30476">
                <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="30477">
                <text>evolution, Viral load, Middle East respiratory syndrome coronavirus, Spike gene</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="30478">
                <text>DOI: 10.3390/v12050502</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="30479">
                <text>Viruses</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="30480">
                <text>MDPI AG</text>
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          <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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                <text>Microbiology</text>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Management of COVID-19-Positive Pediatric Patients Undergoing Minimally Invasive Surgical Procedures: Systematic Review and Recommendations of the Board of European Society of Pediatric Endoscopic Surgeons</text>
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                <text>Henri Steyaert, Isabela Drăghici, Alessio Pini Prato, Andrea Conforti, Mario Mendoza-Sagaon, Naziha Khen-Dunlop, Markus Almstrom, Wim Van Gemert, Maria G. Scuderi, Carlos Giné Prades, Fabio Chiarenza</text>
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                <text>Introduction: Hospital response to the COVID-19 outbreak has involved the cancellation of elective, deferrable surgeries throughout Europe in order to ensure capacity for emergent surgery and a selection of elective but non-deferrable surgeries. The purpose of this document is to propose technical strategies to assist the pediatric surgeons to minimize the potential aerosolization of viral particles in COVID-19 patients undergoing urgent or emergent surgical treatment using laparoscopic approaches, based on the currently available literature. The situation and recommendations are subject to change with emerging information.Materials and Methods: The Scientific Committee and the Board of the European Society of Pediatric Endoscopic Surgeons gathered together in order to address the issue of minimally invasive surgery during this COVID-19 pandemic. A systematic search through PubMed, Embase, and World Wide Web of the terms “COVID-19,” “Coronavirus,” and “SARS-CoV-2” matched with “pneumoperitoneum,” “laparoscopy,” “thoracoscopy,” “retroperitoneoscopy,” and “surgery” was performed. Non-English language papers were excluded. A PRISMA report was performed. Criticalities were identified and a consensus was achieved over a number of key aspects.Results: We identified 121 documents. A total of 11 full-text documents were assessed to address all concerns related to the adoption of minimally invasive surgery. All aspect of pediatric minimally invasive surgery, including elective surgery, urgent surgery, laparoscopy, thoracoscopy, retroperitoneoscopy, and pneumoperitoneum creation and maintainance were extensively addressed through systematic review. A consensus regarding urgent laparoscopic procedures, setting and operation techniques was obtained within the Committee and the Board.Conclusions: The ESPES proposes the following recommendations in case minimally invasive surgery is needed in a COVID-19 positive pediatric patients: (1) consider conservative treatment whenever safely possible, (2) dedicate a theater, columns and reusable laparoscopic instrumentation to COVID-19 pediatric patients, (3) prefer disposable instrumentation and cables, (4) use low CO2 insufflation pressures, (5) use low power electrocautery, (6) prefer closed-systems CO2 insufflation and desufflation systems, and (7) avoid leaks through ports. These recommendations are subject to change with emerging information and might be amended in the near future.</text>
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                <text>2020</text>
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                <text>Outbreak, safety, pediatrics, Pneumoperitoneum, COVID-19, minimally invasive surgeries (MIS)</text>
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                <text>DOI: 10.3389/fped.2020.00259</text>
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          <element elementId="48">
            <name>Source</name>
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                <text>Frontiers in Pediatrics</text>
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            <name>Publisher</name>
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              <elementText elementTextId="30489">
                <text>Frontiers Media S.A.</text>
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                <text>Pediatrics</text>
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