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                <text>Can Teledentistry Improve the Monitoring of Patients during the Covid-19 Dissemination? A Descriptive Pilot Study</text>
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                <text>Alessandro Antonelli, Amerigo Giudice, Leonzio Fortunato, Fiorella Averta, Selene Barone, Federica Diodati, Danila Muraca</text>
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                <text>The aim of this pilot study was to describe the advantages of telemedicine (TM) in dental practice during the current national emergency condition due to the Covid-19 dissemination. At Department of Oral Surgery and Pathology—Magna Graecia University of Catanzaro, regional reference center for Covid-19—two groups of patients were determined: patients with urgent conditions (group U) and patients in follow-up (group F). Both groups were instructed to implement remote consultations using a messaging service (WhatsApp Messenger, WhatsApp Inc., Mountain View, California, USA) to send photos. A total of 418 photos were collected by 57 patients. Thirty-four photos were obtained by five patients in the U group after surgical procedures. All patients sent photos on the established evening, except for two patients who sent two photos outside the set days. In the F group, 384 photos were collected by 52 patients. None of them sent more photos than the number that was established by the protocol. Telemedicine allowed a monitoring of all patients, reducing costs and limiting human contact, decreasing the risk of Covid-19 dissemination.</text>
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                <text>DOI: 10.3390/ijerph17103399</text>
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                <text>COMMENT ON:  Hospital care in Departments defined as COVID-free: A proposal for a safe hospitalization protecting healthcare professionals and patients not affected by COVID-19</text>
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                <text>The COVID-19 outbreak dramatically changed hospital everyday life, impairing the course of previous routine activity, also in urology. In the next months, together with keeping the focus on the prevention of contagion recrudescence, the health care system will face another stringent issue, i.e. to restore all the services not COVID-related. Leonardi et al. in their paper report an equilibrate overview on the incoming “Phase 2”, in order to set up so-called COVID-free hospitals and departments. The authors offer an insight from a practical point of view, detailing protocols for any of the steps of the path of care, from the outpatient visit to surgery</text>
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                <text>Diseases of the genitourinary system. Urology</text>
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                <text>Alessandro Capalbo, Domenico Giordano, Nazareno Gagliostro, Charalampos Georgios Balampanos, Flavia Persechino, Federica Orrù, Severino Persechino</text>
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                <text>The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the subsequent pandemic have impacted every aspect of oncology care worldwide. Healthcare systems have been forced to rapidly change practices in order to maximize the safety of patients and healthcare providers and preserve scare resources. Patients with acute myeloid leukemia are at increased risk of complications from SARS-CoV-2 not only due to immune compromise related to the malignancy but also due to the acuity of the disease and intensity of treatment. These issues have created unique challenges during this difficult time. In this article, we present the approaches taken by two groups of hematologist/oncologists, one in the United States and one in Italy, who have been caring for acute myeloid leukemia (AML) patients in the face of the pandemic.</text>
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                <text>Neoplasms. Tumors. Oncology. Including cancer and carcinogens</text>
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                <text>Societal and economic factors associated with COVID-19 indicate that developing countries could suffer the most</text>
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                <text>Alessandro Maria Selvitella, Kathleen Lois Foster</text>
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                <text>Most of the research related to the COVID-19 pandemic deals with the biological and epidemiological factors which have driven the spread of the coronavirus around the globe. In this paper, we analyse how societal and economic variates relate to the number of cases and deaths across countries, via machine learning methods. Our findings recommend focusing our attention on  developing  countries  where  the  healthcare  system might suffer the most.</text>
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                <text>2020</text>
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                <text>covid-19, LASSO, variable selection, socioeconomic determinants, explainability</text>
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                <text>Korean Society of Epidemiology</text>
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                <text>Social sciences (General)</text>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
      <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>
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          <element elementId="50">
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                <text>Covid-19 Outbreak Progression in Italian Regions: Approaching the Peak by the End of March in Northern Italy and First Week of April in Southern Italy</text>
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                <text>Alessandro Miani, Cosimo Distante, Prisco Piscitelli</text>
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                <text>Epidemiological figures of the SARS-CoV-2 epidemic in Italy are higher than those observed in China. Our objective was to model the SARS-CoV-2 outbreak progression in Italian regions vs. Lombardy to assess the epidemic’s progression. Our setting was Italy, and especially Lombardy, which is experiencing a heavy burden of SARS-CoV-2 infections. The peak of new daily cases of the epidemic has been reached on the 29th, while was delayed in Central and Southern Italian regions compared to Northern ones. In our models, we estimated the basic reproduction number (R0), which represents the average number of people that can be infected by a person who has already acquired the infection, both by fitting the exponential growth rate of the infection across a 1-month period and also by using day-by-day assessments based on single observations. We used the susceptible–exposed–infected–removed (SEIR) compartment model to predict the spreading of the pandemic in Italy. The two methods provide an agreement of values, although the first method based on exponential fit should provide a better estimation, being computed on the entire time series. Taking into account the growth rate of the infection across a 1-month period, each infected person in Lombardy has involved 4 other people (3.6 based on data of April 23rd) compared to a value of R0 = 2.68, as reported in the Chinese city of Wuhan. According to our model, Piedmont, Veneto, Emilia Romagna, Tuscany and Marche will reach an R0 value of up to 3.5. The R0 was 3.11 for Lazio and 3.14 for the Campania region, where the latter showed the highest value among the Southern Italian regions, followed by Apulia (3.11), Sicily (2.99), Abruzzo (3.0), Calabria (2.84), Basilicata (2.66), and Molise (2.6). The R0 value is decreased in Lombardy and the Northern regions, while it is increased in Central and Southern regions. The expected peak of the SEIR model is set at the end of March, at a national level, with Southern Italian regions reaching the peak in the first days of April. Regarding the strengths and limitations of this study, our model is based on assumptions that might not exactly correspond to the evolution of the epidemic. What we know about the SARS-CoV-2 epidemic is based on Chinese data that seems to be different than those from Italy; Lombardy is experiencing an evolution of the epidemic that seems unique inside Italy and Europe, probably due to demographic and environmental factors.</text>
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                <text>2020</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="44895">
                <text>covid-19, model, peak, Italian Regions, Outbreak Progression</text>
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                <text>10.3390/ijerph17093025</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="44898">
                <text>Korean Society of Epidemiology</text>
              </elementText>
            </elementTextContainer>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Medicine</text>
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  <item itemId="3108" public="1" featured="0">
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        <src>https://www.socictopen.socict.org/files/original/0479e0bcb1689fc6ac93b061aa8be95d.pdf</src>
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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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            <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>
        <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>A Preliminary Evaluation of the Public Risk Perception Related to the COVID-19 Health Emergency in Italy</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="28997">
                <text>Alessandro Parisi, Danilo Spasiano, Eleonora Gentile, Giulia Motta Zanin</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="28998">
                <text>Governments faced with the spread of COVID-19 pandemic are adopting strict and severe mitigation measures to influence people’s behaviors. Public perception of health risk plays a key role in the adoption of these actions, in people’s feelings, and in their daily habits. To support decision makers from international to local levels to face with future sanitary emergencies, this study aims at investigating Italian public perceptions of health risk. To this purpose, a questionnaire was designed and administered within the period of Italian COVID-19 lockdown and quarantine to almost 9000 citizens in Italy and abroad. The obtained results highlight a significative influence that mass media play on both the level of knowledge and the feelings of the respondents. The findings also point out future variations of some perceived behaviors consequent to the COVID-19 outbreak.</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="28999">
                <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="29000">
                <text>Decision-making, survey, Risk Management, biological hazard, SARS-CoV-2</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="29001">
                <text>DOI: 10.3390/ijerph17093024</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="29002">
                <text>International Journal of Environmental Research and Public Health</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="29003">
                <text>MDPI AG</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="29004">
                <text>Medicine</text>
              </elementText>
            </elementTextContainer>
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        <src>https://www.socictopen.socict.org/files/original/4c2020c05208fa8cb3bbf27783e80c13.pdf</src>
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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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            <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>
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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>A Comprehensive Mapping of the Druggable Cavities within the SARS-CoV-2 Therapeutically Relevant Proteins by Combining Pocket and Docking Searches as Implemented in Pockets 2.0</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82481">
                <text>Alessandro Pedretti, Silvia Gervasoni, Giulio Vistoli, Carmine Talarico, Candida Manelfi, Andrea  R. Beccari, Gabriel Studer, Gerardo Tauriello, Andrew  Mark Waterhouse, Torsten Schwede</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="82482">
                <text>(1) Background: Virtual screening studies on the therapeutically relevant proteins of the severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2) require a detailed characterization of their druggable binding sites, and, more generally, a convenient pocket mapping represents a key step for structure-based in silico studies; (2) Methods: Along with a careful literature search on SARS-CoV-2 protein targets, the study presents a novel strategy for pocket mapping based on the combination of pocket (as performed by the well-known FPocket tool) and docking searches (as performed by PLANTS or AutoDock/Vina engines); such an approach is implemented by the Pockets 2.0 plug-in for the VEGA ZZ suite of programs; (3) Results: The literature analysis allowed the identification of 16 promising binding cavities within the SARS-CoV-2 proteins and the here proposed approach was able to recognize them showing performances clearly better than those reached by the sole pocket detection; and (4) Conclusions: Even though the presented strategy should require more extended validations, this proved successful in precisely characterizing a set of SARS-CoV-2 druggable binding pockets including both orthosteric and allosteric sites, which are clearly amenable for virtual screening campaigns and drug repurposing studies. All results generated by the study and the Pockets 2.0 plug-in are available for download.</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="82483">
                <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="82484">
                <text>SARS-CoV-2, virtual screening, docking simulations, Blind docking, pocket search, pocket druggability</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="82485">
                <text>10.3390/ijms21145152</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="82486">
                <text>Epidemiology and Health</text>
              </elementText>
            </elementTextContainer>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="82487">
                <text>Korean Society of Epidemiology</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="82488">
                <text>Biology (General), Chemistry</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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            <element elementId="41">
              <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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              <elementText elementTextId="23371">
                <text>Acute myocarditis as the main clinical manifestation of SARS-CoV 2 infection: A case report</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="23372">
                <text>Alessandro Raimondi, Cristina Mussini, Giovanni Guaraldi, Guido Ligabue, Federica Carli, Marianna Menozzi, Gianluca Cuomo, Margherita Digaetano, Letizia Reggianini</text>
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            <description>An account of the resource</description>
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                <text>We describe a case of acute myocarditis which was reported as the main COVID-19 clinical manifes-tation, with a favorable outcome. In addition to symptoms, laboratory tests (BNP and troponin), echo-cardiogram and cardiac MRI contributed to diagnosis. Regardless heart biopsy was not obtained, it is likely an immunological pathogenesis of this condition which pave the way to further therapeutic im-plications, since there are currently no standardized treatments.</text>
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            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>2020</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>myocarditis, coronavirus, SARS-CoV-2, COVID-19, COVID-19 Extrapulmonary Manifestations</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="23376">
                <text>DOI: 10.4081/idr.2020.8609</text>
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            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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