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                  <text>Dominio científico: Coronavirus</text>
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                <text>Prudent public health intervention strategies to control the coronavirus disease 2019 transmission in India: A mathematical model-based approach</text>
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                <text>Nimalan Arinaminpathy, Raman R. Gangakhedkar, Manoj Murhekar, Tarun Bhatnagar, Sandip Mandal, Swarup Sarkar, Anup Agarwal, Amartya Chowdhury</text>
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                <text>Background &amp; objectives: Coronavirus disease 2019 (COVID-19) has raised urgent questions about containment and mitigation, particularly in countries where the virus has not yet established human-to-human transmission. The objectives of this study were to find out if it was possible to prevent, or delay, the local outbreaks of COVID-19 through restrictions on travel from abroad and if the virus has already established in-country transmission, to what extent would its impact be mitigated through quarantine of symptomatic patients? Methods: These questions were addressed in the context of India, using simple mathematical models of infectious disease transmission. While there remained important uncertainties in the natural history of COVID-19, using hypothetical epidemic curves, some key findings were illustrated that appeared insensitive to model assumptions, as well as highlighting critical data gaps. Results: It was assumed that symptomatic quarantine would identify and quarantine 50 per cent of symptomatic individuals within three days of developing symptoms. In an optimistic scenario of the basic reproduction number (R0) being 1.5, and asymptomatic infections lacking any infectiousness, such measures would reduce the cumulative incidence by 62 per cent. In the pessimistic scenario of R0=4, and asymptomatic infections being half as infectious as symptomatic, this projected impact falls to two per cent. Interpretation &amp; conclusions: Port-of-entry-based entry screening of travellers with suggestive clinical features and from COVID-19-affected countries, would achieve modest delays in the introduction of the virus into the community. Acting alone, however, such measures would be insufficient to delay the outbreak by weeks or longer. Once the virus establishes transmission within the community, quarantine of symptomatics may have a meaningful impact on disease burden. Model projections are subject to substantial uncertainty and can be further refined as more is understood about the natural history of infection of this novel virus. As a public health measure, health system and community preparedness would be critical to control any impending spread of COVID-19 in the country.</text>
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                <text>2020</text>
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                <text>airport screening - covid-19 - deterministic model - mathematical model - mitigation - quarantine - transmission</text>
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                <text>DOI: 10.4103/ijmr.IJMR_504_20</text>
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                <text>Indian Journal of Medical Research</text>
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                <text>Wolters Kluwer Medknow Publications</text>
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                <text>Genomic analysis of SARS-CoV-2 strains among Indians returning from Italy, Iran &amp; China, &amp; Italian tourists in India</text>
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                <text>Amita Jain, Raman R. Gangakhedkar, Varsha Potdar, Pragya D Yadav, Sidhartha Giri, Lalit Dar, Atanu Basu, Gajanan Sapkal, Nivedita Gupta, Priya Abraham, Sarah S Cherian, Gururaj Rao Deshpande, Sreelekshmy Mohandas, Anita Shete-Aich, Triparna Majumdar, Savita Patil, Veena Vipat, Manohar Lal Choudhary, Bharati Malhotra, Sheetal Jadhav, Padinjaremattathil Thankappan Ullas, Hitesh Dighe, Rohan Gughe, Dimpal Nyayanit, Atul Walimbe, Shivshankar Gaikwad, Deepika Chowdhury, NIC Team</text>
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                <text>DOI: 10.4103/ijmr.IJMR_1058_20</text>
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                <text>Indian Journal of Medical Research</text>
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                <text>Wolters Kluwer Medknow Publications</text>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Lasers use in dermatology practice in the evolving COVID-19 scenario: Recommendations by SIG lasers (IADVL academy)</text>
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                <text>Salim Thurakkal, Abhishek De, Swapnil Shah, Sunil Trivedi, David Pudukadan, Sachin Dhawan, Pradeep Kumari, Anuj Pall, Ekta Romi, K Jyothy, M D Selvam, Sahil Mrigpuri</text>
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                <text>The COVID-19 pandemic has taken the entire world by storm. Almost all dermatology laser procedures are considered non-essential and there is a consensus that they should be deferred till the threat of the COVID-19 is well and truly over. The article presents recommendations for the use of lasers and energy based devices in a safe manner during and in the immediate aftermath of COVID-19 pandemic. Plume generating procedures need full personal protective equipment to be used. Special precautions are required for specific laser and energy based procedures. A robust disinfection strategy based on preventing fomite borne COVID-19 transmission in the laser operating room is essential.</text>
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                <text>2020</text>
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                <text>safety, lasers, Pandemic, personal protective equipment, COVID-19</text>
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                <text>DOI: 10.4103/idoj.IDOJ_239_20</text>
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                <text>Indian Dermatology Online Journal</text>
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                <text>Wolters Kluwer Medknow Publications</text>
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                <text>Dermatology</text>
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                <text>Clinical trials during the COVID-19 pandemic: Challenges of putting scientific and ethical principles into practice</text>
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                <text>Arun Bhatt</text>
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                <text>Global pandemic of COVID-19 is a serious unmet medical need requiring clinical research into effective therapies. Clinical trials during pandemics of infections face complex challenges of putting scientific and ethical principles into practice. Some of these issues – selection of investigational product and participants, study design, assessment of efficacy and safety, ethics review, informed consent and publication, sample size, and publications – require in-depth consideration in planning and implementation of clinical trials during pandemics.</text>
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                <text>DOI: 10.4103/picr.PICR_77_20</text>
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                <text>Perspectives in Clinical Research</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Towards Precision Medicine: Inclusion of Sex and Gender Aspects in COVID-19 Clinical Studies—Acting Now before It Is Too Late—A Joint Call for Action</text>
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                <text>Sabine Oertelt-Prigione, Sabra L. Klein, Rosemary Morgan, Evelyne Bischof, The Sex and Gender in COVID19 Clinical Trials Working Group (SGC), Gender and COVID19 Working Group</text>
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                <text>The COVID-19 global pandemic is accelerating investigations for effective vaccines and repurposable validated therapeutics [...]</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>The Impact of COVID-19 on Tourist Satisfaction with B&amp;B in Zhejiang, China: An Importance–Performance Analysis</text>
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                <text>Lei Xu, YAN Hong, Weijun Gao, Jinming Jiang, Gangwei Cai, Zhoujin Mo, Yuanxing Jiang</text>
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                <text>After the outbreak of COVID-19 (especially in the stage of tourism recovery), the bed and breakfast (B&amp;B) tourism industry faced big challenges in improving its health strategies. B&amp;Bs are very important for the tourism industry in China and many other countries. However, few studies have studied the impact of B&amp;Bs, under COVID-19, on tourism in China. Our paper is among one of the first studies to investigate the impact of COVID-19 on tourist satisfaction with B&amp;Bs in China. The work/travel restrictions started from 20 January 2020, and work/after travel resumed from 20 February 2020 in Zhejiang, China. Data were collected from 588 tourists (who experienced B&amp;Bs in Zhejiang, China) from a WeChat online survey, from 1 March to 15 March 2020. The current study attempted to fill the gap by studying the changing tourist satisfaction levels with B&amp;Bs before/after COVID-19. Moreover, some suggestions are given to the B&amp;B industry for tourism resumption after COVID-19 by an importance–performance analysis (IPA).</text>
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                <text>tourist satisfaction, Bed and Breakfast (B&amp;B), COVID-19, importance–performance analysis (IPA), tourism resumption</text>
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                <text>DOI: 10.3390/ijerph17103747</text>
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                <text>International Journal of Environmental Research and Public Health</text>
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            <description>An entity responsible for making the resource available</description>
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                <text>Medicine</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Stefania Scala, Roberto Pacelli</text>
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                <text>The severe acute respiratory syndrome coronavirus 2 (SARS-COv-2) is the etiologic agent of the 2019 coronavirus disease (COVID19). The majority of infected people presents flu like symptoms and among them 15–20% develops a severe interstitial pneumonitis (IP) that may eventually evolve in acute respiratory distress syndrome (ARDS). IP is caused by the viral glycoprotein spike (S) binding to the angiotensin converting enzyme 2 (ACE2) expressed on the surface of alveolar pneumocytes. The virus is recognized by the “pattern recognition receptors” (PRR) of the immune cells that release cytokines activating more immune cells that produce a large number of pro-inflammatory cytokines, tissue factors and vasoactive peptides. Affected patients might develop the “cytokine storm syndrome,” a fulminant and fatal hypercytokinaemia with multiorgan failure. In patients infected by SARS-COv-2 increase in T-helper 2 (TH2) cytokines (IL-4 and IL10) are reported in addition to the T-helper 1 (TH1) cytokines (IL1B, IFNγ, IP10, and MCP1) previously detected in other coronavirus infections. Cytokines and other molecules involved in immune response and inflammation are conceivable therapeutic targets for IP and ARDS, improving symptoms and decreasing intensive care unit admissions. To this aim off label drugs may be used taking into consideration the window timing for immunosuppressive drugs in virus infected patients. Some off label therapeutic options and preclinical evidence drugs are herein considered.</text>
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                <text>macrophages, inflammation, cytokine, Interstitial pneumonia, off-label drug use</text>
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                <text>DOI: 10.3389/fimmu.2020.01201</text>
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                <text>Frontiers in Immunology</text>
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                <text>Frontiers Media S.A.</text>
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                <text>Immunologic diseases. Allergy</text>
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              <name>Title</name>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Quantifying the Impact of Data Sharing on Outbreak Dynamics (QIDSOD)</text>
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                <text>Daniel Mietchen, Jundong Li</text>
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            <description>An account of the resource</description>
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                <text>In this project, we will explore the range of data-related decisions made during public health emergencies like the ongoing COVID-19 pandemic and analyze the flow of information, data, and metadata within networks of such decisions.Data sharing is now considered a key component of addressing present, future, and even past public health emergencies, from local to global levels. Researchers, research institutions, journals and others have taken steps towards increasing the sharing of data around the ongoing COVID-19 pandemic and in preparation for future pandemics.We will quantify the effects of data flow modifications to identify parameter sets under which specific modes of sharing or withholding information have the largest effects on outbreak dynamics. For these high-impact parameter sets, we will then assess the current and past availability of corresponding data, metadata, and misinformation, and estimate the effects on outbreak mitigation and preparedness efforts.</text>
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                <text>2020</text>
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                <text>data-sharing, Public health emergencies, epidemiol</text>
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                <text>DOI: 10.3897/rio.6.e54770</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Research Ideas and Outcomes</text>
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              <elementText elementTextId="26721">
                <text>Pensoft Publishers</text>
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                <text>Science</text>
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              <name>Title</name>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Social reaction toward the 2019 novel coronavirus (COVID-19)</text>
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                <text>Chung-Ying Lin</text>
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                <text>DOI: 10.4103/SHB.SHB_11_20</text>
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                <text>Social Health and Behavior</text>
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                <text>Wolters Kluwer Medknow Publications</text>
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                <text>Public aspects of medicine, Social pathology. Social and public welfare. Criminology</text>
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              <name>Title</name>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>A Gaussian Model for the Time Development of the Sars-Cov-2 Corona Pandemic Disease. Predictions for Germany Made on 30 March 2020</text>
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                <text>Reinhard Schlickeiser, Frank Schlickeiser</text>
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            <description>An account of the resource</description>
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                <text>For Germany, it is predicted that the first wave of the corona pandemic disease reaches its maximum of new infections on 11 April 2020      − 3.4   + 5.4      days with 90% confidence. With a delay of about 7 days the maximum demand on breathing machines in hospitals occurs on 18 April 2020      − 3.4   + 5.4      days. The first pandemic wave ends in Germany end of May 2020. The predictions are based on the assumption of a Gaussian time evolution well justified by the central limit theorem of statistics. The width and the maximum time and thus the duration of this Gaussian distribution are determined from a statistical     χ 2    -fit to the observed doubling times before 28 March 2020.</text>
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          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="26733">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="26734">
                <text>gaussian model, Health science, statistical methods in physics, virus time evolution</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="26735">
                <text>DOI: 10.3390/physics2020010</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="26736">
                <text>Physics</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="26737">
                <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>
            <elementTextContainer>
              <elementText elementTextId="26738">
                <text>Physics</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
</itemContainer>
