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                <text>How Does Integrated Reporting Change in Light of COVID-19? A Revisiting of the Content of the Integrated Reports</text>
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                <text>The crisis connected to the spread of the COVID-19 pandemic represents an epochal event destined to generate strong economic and social consequences. The impact of the pandemic on business activities and business models also entails rethinking reporting practices. The pandemic has, in fact, created an enormous need for investors and stakeholders in general for future-oriented information relating to the impacts of this event on organizations. Integrated reporting is an ideal tool to provide information related to the effects of the pandemic and provide a holistic view of the future prospects of organizations. This study, using legitimacy theory and based on a two-step methodology, highlighted a series of information that companies will need to have to include in integrated reports to maintain and defend legitimacy. The results provide a double perspective: the first based on content elements and the second based on capitals. The results represent an important guideline for companies for the preparation of future integrated reports.</text>
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                <text>How general are current comparative physiology studies?: A quantitative review ¿Cuán general son los estudios en fisiología comparada actualmente?: Una revisión cuantitativa</text>
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                <text>Comparative animal physiology and related fields (named here 'ecological physiology') are entering a time of synthesis in the form of a quest for large scales patterns. However, these new approaches need to be supplied by great amounts of data, representative of existing animal forms. We tested whether this is the case by performing a quantitative survey in the most important media for ecological physiologists. We found that ecological physiologists have clear biases toward some taxonomic classes, which represent one third of existing animal phyla. Non-taxonomic characterization of animals (endothermy/ectothermy, aquatic/terrestrial), however, produced a more balanced picture. In addition, ecological physiologists appear to be mostly intraspecific biologists since the great majority of studies were performed in one species. Multispecific studies were the minority and comparable to two - species comparative studies. The later are still being published despite to have been strongly criticized in the past. Cross-tabulation analysis yielded results suggesting that natural populations, vertebrates and terrestrial animals are preferred over artificial populations, aquatic animals and invertebrates. Although we recognize the limitations of our survey, it has the value to indicate that historical biases need to be taken in consideration if more global approaches are being undertaking in this disciplineLa fisiología comparada y disciplinas relacionadas (definidas en este trabajo como 'ecología fisiológica') han entrado a un período de síntesis en la forma de búsqueda de patrones a gran escala. Sin embargo, dichos enfoques necesitan ser provistos de una gran cantidad de datos que sean representativos de las formas animales existentes. Evaluamos si este es el caso, efectuando una revisión cuantitativa en el medio más importante para los ecólogos fisiológicos. Encontramos que los ecólogos fisiológicos tienen claros sesgos hacia ciertas clases taxonómicas, las cuales representan un tercio de los phyla animales existentes. La caracterización no taxonómica de los animales (endotermia/ectotermia, acuático/terrestre), sin embargo, produjo un panorama más equilibrado. Además, los resultados sugieren que los ecólogos fisiológicos son eminentemente biólogos intraespecíficos pues la gran mayoría de los trabajos fueron estudios de una especie. Los estudios multiespecíficos son minoritarios y comparables en proporción a estudios comparativos entre dos especies. Estos últimos, a pesar de haber sido fuertemente criticados en el pasado, siguen siendo publicados. El análisis de tablas de contigencia sugiere que poblaciones naturales y vertebrados son preferidos por sobre poblaciones artificiales, invertebrados y animales acuáticos. Aunque reconocemos las limitaciones de esta revisión, el presente trabajo sugiere que los sesgos históricos deben considerarse cuando se están originando enfoques más globales dentro de la disciplina</text>
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                <text>Ectotherms, Evolutionary physiology, comparative physiology, ectodermos, endodermos, endotherms, fisiología comparada, fisiología ecológica, fisiología evolutiva, macrofisiología, macrophysiology, physiological ecology</text>
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                <text>Revista Chilena de Historia Natural</text>
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                <text>Botany, Zoology</text>
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                <text>&lt;a href="http://www.scielo.cl/scielo.php?script=sci_arttext&amp;amp;pid=S0716-078X2005000200015" target="_blank" rel="noreferrer noopener"&gt;http://www.scielo.cl/scielo.php?script=sci_arttext&amp;amp;pid=S0716-078X2005000200015&lt;/a&gt;</text>
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                <text>How Have COVID-19 Isolation Policies Affected Young People’s Mental Health? – Evidence From Chinese College Students</text>
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                <text>Bo Chen, Yi Feng, Jin-Lu Sun</text>
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                <text>The breakout of COVID-19 has brought about huge influence on people’s physic and mental health. This paper aims to investigate the mental health status of young people living in isolation due to the policy response to Coronavirus disease. Nine hundred ninety-two Chinese college students (Mage = 19.45, SD = 1.41) were recruited to finish an online survey in the period of self-isolation. Seven dimensions of psychological well-being were measured, including mental status, knowledge of stress management, behavioral patterns, risk perception, academic stress, family relationships, and peer relationships. Results of cluster analysis indicated that young individuals’ mental status can be divided into three groups: high-risk (n = 61, Mage = 19.26, SD = 1.32), medium-risk (n = 627, Mage = 19.43, SD = 1.38), and low-risk (n = 304, Mage = 19.54, SD = 1.49). Moreover, results of multiple regression showed that the isolation policy has had a complex influence on the symptoms of obsessive-compulsive disorder [F(12, 979) = 44.894, p &amp;lt; 0.001], fear [F(12, 979) = 30.776, p &amp;lt; 0.001], hypochondria [F(12, 979) = 22.530, p &amp;lt; 0.001], depression [F(12, 979) = 39.022, p &amp;lt; 0.001], and neurasthenia [F(12, 979) = 45.735, p &amp;lt; 0.001] via various factors. This paper also proposes a six-step intervention strategy to alleviate young people’s psychological problems while in isolation. It provides practical insights into the psychological interventions in face of the global threat.</text>
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                <text>DOI: 10.3389/fpsyg.2020.01529</text>
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                <text>Since the outbreak of coronavirus disease- 19 (COVID-19) pandemic, geriatric population has been the most affected due to the peculiarities of the disease in terms of contagiousness and severity. Major changes have been implemented in healthcare structures and facilities worldwide in order to accomplish the necessity to host and isolate infected patients. Simultaneously, many critical issues have emerged concerning medical and nursing assistance to elderly patients, due to the new arrangement of wards and innovative work tools. Acute Geriatric Units dedicated to COVID-19 have been asked to put giant efforts in adapting to new care models in mobility, communication, feeding, basic assistance and caregivers’ involvement. The purpose of this dissertation is to highlight the role of Geriatricians as proactive contributors of new approaches to elderly patients in times of COVID-19, in order to develop a further-thinking working methodology.</text>
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                <text>DOI: 10.4081/gc.2020.9043</text>
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                <text>Geriatrics</text>
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                <text>How Human Mobility Models Can Help to Deal with COVID-19</text>
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                <text>Enrique Hernández-Orallo, Antonio Armero-Martínez</text>
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                <text>One of the key factors for the spreading of human infections, such as the COVID-19, is human mobility. There is a huge background of human mobility models developed with the aim of evaluating the performance of mobile computer networks, such as cellular networks, opportunistic networks, etc. In this paper, we propose the use of these models for evaluating the temporal and spatial risk of transmission of the COVID-19 disease. First, we study both pure synthetic model and simulated models based on pedestrian simulators, generated for real urban scenarios such as a square and a subway station. In order to evaluate the risk, two different risks of exposure are defined. The results show that we can obtain not only the temporal risk but also a heat map with the exposure risk in the evaluated scenario. This is particularly interesting for public spaces, where health authorities could make effective risk management plans to reduce the risk of transmission.</text>
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                <text>2021</text>
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                <text>mobile computing, digital epidemiology, Mobility models, opportunistic networks</text>
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                <text>10.3390/electronics10010033</text>
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                <text>Epidemiology and Health</text>
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                <text>Korean Society of Epidemiology</text>
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                <text>Electronics</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>How Japan managed to curb the pandemic early on: Lessons learned from the first eight months of COVID-19.</text>
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                <text>Ahmed Hossain, Urme Binte Sayeed</text>
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                <text>10.7189/jogh.10.020390</text>
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              <elementText elementTextId="71643">
                <text>Journal of Global Health</text>
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                <text>Edinburgh University Global Health Society</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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                <text>How Large Was the Mortality Increase Directly and Indirectly Caused by the COVID-19 Epidemic? An Analysis on All-Causes Mortality Data in Italy</text>
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                <text>Corrado Magnani, Dario Gregori, Elisa Gallo, Danila Azzolina, Daniela Ferrante</text>
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                <text>Objective: Overall mortality is a relevant indicator of the population burden during an epidemic. It informs on both undiagnosed cases and on the effects of health system disruption. Methods: We aimed at evaluating the extent of the total death excess during the COVID-19 epidemic in Italy. Data from 4433 municipalities providing mortality reports until April 15th, 2020 were included for a total of 34.5 million residents from all Italian regions. Data were analyzed by region, sex and age, and compared to expected from 2015–2019. Results: In both genders, overall mortality was stable until February 2020 and abruptly increased from March 1st onwards. Within the municipalities studied, 77,339 deaths were observed in the period between March 1st to April 15th, 2020, in contrast to the 50,822.6 expected. The rate ratio was 1.11 before age 60 and 1.55 afterwards. Both sexes were affected. The excess was greater in the regions most affected by COVID-19 but always exceeded the deaths attributed to COVID-19. The extrapolation to the total Italian population suggests an excess of 45,033 deaths in the study period, while the number of COVID–19 deaths was 21,046. Conclusion: Our paper shows a large death excess during the COVID-19 epidemic in Italy; greater than the number attributed to it. Possible causes included both the undetected cases and the disruption of the Health Service organization. Timely monitoring of overall mortality based on unbiased nationwide data is an essential tool for epidemic control.</text>
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                <text>Italy, Mortality, national statistics, SARS-CoV-2, COVID-19 epidemic</text>
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                <text>DOI: 10.3390/ijerph17103452</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>How long do nosocomial pathogens persist on inanimate surfaces? A systematic review</text>
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                <text>Schwebke Ingeborg, Kramer Axel, Kampf Günter</text>
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                <text>Abstract Background Inanimate surfaces have often been described as the source for outbreaks of nosocomial infections. The aim of this review is to summarize data on the persistence of different nosocomial pathogens on inanimate surfaces. Methods The literature was systematically reviewed in MedLine without language restrictions. In addition, cited articles in a report were assessed and standard textbooks on the topic were reviewed. All reports with experimental evidence on the duration of persistence of a nosocomial pathogen on any type of surface were included. Results Most gram-positive bacteria, such as Enterococcus spp. (including VRE), Staphylococcus aureus (including MRSA), or Streptococcus pyogenes, survive for months on dry surfaces. Many gram-negative species, such as Acinetobacter spp., Escherichia coli, Klebsiella spp., Pseudomonas aeruginosa, Serratia marcescens, or Shigella spp., can also survive for months. A few others, such as Bordetella pertussis, Haemophilus influenzae, Proteus vulgaris, or Vibrio cholerae, however, persist only for days. Mycobacteria, including Mycobacterium tuberculosis, and spore-forming bacteria, including Clostridium difficile, can also survive for months on surfaces. Candida albicans as the most important nosocomial fungal pathogen can survive up to 4 months on surfaces. Persistence of other yeasts, such as Torulopsis glabrata, was described to be similar (5 months) or shorter (Candida parapsilosis, 14 days). Most viruses from the respiratory tract, such as corona, coxsackie, influenza, SARS or rhino virus, can persist on surfaces for a few days. Viruses from the gastrointestinal tract, such as astrovirus, HAV, polio- or rota virus, persist for approximately 2 months. Blood-borne viruses, such as HBV or HIV, can persist for more than one week. Herpes viruses, such as CMV or HSV type 1 and 2, have been shown to persist from only a few hours up to 7 days. Conclusion The most common nosocomial pathogens may well survive or persist on surfaces for months and can thereby be a continuous source of transmission if no regular preventive surface disinfection is performed.</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="22491">
                <text>2006</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="22492">
                <text>DOI: 10.1186/1471-2334-6-130</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="22493">
                <text>BMC Infectious Diseases</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="22494">
                <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="22495">
                <text>Infectious and parasitic diseases</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="22496">
                <text>EN</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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