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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Smart Farming: An Enhanced Pursuit of Sustainable Remote Livestock Tracking and Geofencing Using IoT and GPRS</text>
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                <text>Qazi Mudassar Ilyas, Muneer Ahmad</text>
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                <text>The farmers of agricultural farms manage and monitor different types of livestock. The manual inspection and monitoring of livestock are tedious since the cattle do not stay at fixed locations. Fencing many cattle requires a considerable cost and involves farmers’ physical intervention to keep an eye to stop them from crossing beyond the access points. Visual tracking of livestock and fencing is a time-consuming and challenging job. This research proposes a smart solution for livestock tracking and geofencing using state-of-the-art IoT technology. The study creates a geographical safe zone for cattle based on IoT and GPRS, where the cattle are assigned dedicated IoT sensors. The cattle can be easily remotely monitored and controlled without having any need for farmers to intervene for livestock management physically. The smart system collects the data regarding the location, well-being, and health of the livestock. This kind of livestock management may help prevent the spread of COVID-19, lower the farming costs, and enable remote monitoring.</text>
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                <text>Wireless Communications and Mobile Computing</text>
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                <text>Hindawi-Wiley</text>
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                <text>Technology, Telecommunication</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Guaranteeing the Health Rights of People with Disabilities in the COVID-19 Pandemic: Perspectives from China</text>
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                <text>Qi F, Wang Q</text>
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                <text>Fei Qi, Qi Wang Law School, Hainan University, Haikou, Hainan Province, People&amp;rsquo;s Republic of ChinaCorrespondence: Qi Wang Email hainan-equal-rights-research-group@outlook.comAbstract: The question of how to guarantee the health rights of people with disabilities, and their health equity in particular, is frequently neglected in infectious disease pandemics. The international response to the ongoing COVID-19 pandemic is no exception in this regard. This neglect is related to other forms of marginalization and exclusion, as people with disabilities are generally poorer and more vulnerable than their non-disabled counterparts. Sustainable Development Goal 3 lacks an appropriate human rights language that enshrines equality and inclusivity in pandemic prevention work and related policies and legislation; and, as a result, it does not sufficiently guarantee the health rights of people with disabilities. This paper draws on China&amp;rsquo;s pandemic prevention work to extract relevant lessons, and seeks to explain how decision-making systems and resource allocation mechanisms impact on the health rights of people with disabilities. It discusses the unique roles of justice and legislation in helping to guarantee the health rights of people with disabilities in an infectious disease pandemic, and concludes that future research should more closely consider how Sustainable Development Goal 16 can support Sustainable Development Goal 3.Keywords: COVID-19, health equity, laws, infectious disease pandemic, IDP, judicature, people with disabilities, sustainable development goal, SDG</text>
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                <text>2020</text>
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                <text>covid-19, health equity, people with disabilities, laws, Sustainable Development Goal (SDG), judicature, infectious disease pandemic (idp)</text>
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                <text>Biotemas</text>
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                <text>Universidade Federal de Santa Catarina</text>
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                <text>Public aspects of medicine</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>The Impact of Intolerance of Uncertainty on Negative Emotions in COVID-19: Mediation by Pandemic-Focused Time and Moderation by Perceived Efficacy</text>
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                <text>Qi Li, Bibing Dai, Weine Dai, Guangteng Meng, Ya Zheng, Xun Liu</text>
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                <text>The COVID-19 global pandemic has resulted in a large number of people suffering from emotional problems. However, the mechanisms by which intolerance of uncertainty (IU) affects negative emotions during the COVID-19 pandemic remain unclear. This study aimed to explore the mediating role of pandemic-focused time and the moderating role of perceived efficacy in the association between IU and negative emotions during the COVID-19 pandemic based on the uncertainty-time-efficacy-emotion model (UTEE). 1131 participants were recruited to complete measures of COVID-19 IU, pandemic-focused time, perceived efficacy, negative emotions and demographic variables during the COVID-19 pandemic. The results showed that COVID-19 IU was significantly and positively associated with negative emotions, and this link could be mediated by pandemic-focused time. Moreover, the direct effect of COVID-19 IU on negative emotions was moderated by perceived efficacy. Specifically, the direct effect of COVID-19 IU on negative emotions was much stronger for individuals with lower levels of perceived efficacy. The current study further extended the previous integrative uncertainty tolerance model. Furthermore, the study suggested that policy makers and mental health professionals should reduce the general public’s negative emotions during the pandemic through effective interventions such as adjusting COVID-19 IU, shortening pandemic-focused time and enhancing perceived efficacy.</text>
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                <text>2021</text>
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            <description>The topic of the resource</description>
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                <text>covid-19, Pandemic, Negative Emotions, Intolerance of Uncertainty, Perceived efficacy, pandemic-focused time</text>
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                <text>10.3390/ijerph18084189</text>
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                <text>Epidemiology and Health</text>
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                <text>Korean Society of Epidemiology</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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                <text>Medicine</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Epidemic Spreading Characteristics and Immunity Measures Based on Complex Network with Contact Strength and Community Structure</text>
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                <text>Qi Wang, Jiang Jiang, Ying-wu Chen, Xueting Zhang, Bingfeng Ge, Hanlin You</text>
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                <text>Middle East Respiratory Syndrome (MERS), bursting in South Korea from May 2015 and mainly spreading within the hospitals at the beginning, has caused a large scale of public panic. Aiming at this kind of epidemic spreading swiftly by intimate contact within community structure, we first established a spreading model based on contact strength and SI model, and a weighted network with community structure based on BBV network model. Meanwhile, the sufficient conditions were deduced to ensure the optimal community division. Next, after the verification by the real data of MERS, it is found that the spreading rate is closely related to the average weight of network but not the number of communities. Then, as the further study shows, the final infection proportion declines with the decreases both in isolation delay and in average weight; however, this proportion can only be postponed rather than decreased with respect to sole average weight reduction without isolation. Finally, the opportunities to take action can be found to restrain the epidemic spreading to the most extent.</text>
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                <text>2015</text>
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                <text>DOI: 10.1155/2015/316092</text>
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                <text>Mathematical Problems in Engineering</text>
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                <text>Hindawi Limited</text>
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                <text>Engineering (General). Civil engineering (General), Mathematics</text>
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                <text>Altered Lipid Metabolism in Recovered SARS Patients Twelve Years after Infection</text>
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                <text>Qi Wu, Lina Zhou, Xin Sun, Zhongfang Yan, Chunxiu Hu, Junping Wu, Long Xu, Xue Li, Huiling Liu, Peiyuan Yin, Kuan Li, Jieyu Zhao, Yanli Li, Xiaolin Wang, Yu Li, Qiuyang Zhang, Guowang Xu, Huaiyong Chen</text>
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                <text>Abstract Severe acute respiratory syndrome-coronavirus (SARS-CoV) and SARS-like coronavirus are a potential threat to global health. However, reviews of the long-term effects of clinical treatments in SARS patients are lacking. Here a total of 25 recovered SARS patients were recruited 12 years after infection. Clinical questionnaire responses and examination findings indicated that the patients had experienced various diseases, including lung susceptibility to infections, tumors, cardiovascular disorders, and abnormal glucose metabolism. As compared to healthy controls, metabolomic analyses identified significant differences in the serum metabolomes of SARS survivors. The most significant metabolic disruptions were the comprehensive increase of phosphatidylinositol and lysophospha tidylinositol levels in recovered SARS patients, which coincided with the effect of methylprednisolone administration investigated further in the steroid treated non-SARS patients with severe pneumonia. These results suggested that high-dose pulses of methylprednisolone might cause long-term systemic damage associated with serum metabolic alterations. The present study provided information for an improved understanding of coronavirus-associated pathologies, which might permit further optimization of clinical treatments.</text>
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                <text>2017</text>
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              <elementText elementTextId="62325">
                <text>10.1038/s41598-017-09536-z</text>
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                <text>Epidemiology and Health</text>
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            <description>An entity responsible for making the resource available</description>
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                <text>Korean Society of Epidemiology</text>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Computational View toward the Inhibition of SARS-CoV-2 Spike Glycoprotein and the 3CL Protease</text>
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                <text>Qian Chen, Hongtao Zhang, Hai-Feng Ji, Zhen Qiao</text>
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            <description>An account of the resource</description>
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                <text>Since the outbreak of the 2019 novel coronavirus disease (COVID-19), the medical research community is vigorously seeking a treatment to control the infection and save the lives of severely infected patients. The main potential candidates for the control of viruses are virally targeted agents. In this short letter, we report our calculations on the inhibitors for the SARS-CoV-2 3CL protease and the spike protein for the potential treatment of COVID-19. The results show that the most potent inhibitors of the SARS-CoV-2 3CL protease include saquinavir, tadalafil, rivaroxaban, sildenafil, dasatinib, etc. Ergotamine, amphotericin b, and vancomycin are most promising to block the interaction of the SARS-CoV-2 S-protein with human ACE-2.</text>
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                <text>2020</text>
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                <text>protease, inhibition, coronavirus, spike protein, computational, COVID-19</text>
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                <text>DOI: 10.3390/computation8020053</text>
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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="32321">
                <text>Electronic computers. Computer science</text>
              </elementText>
            </elementTextContainer>
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  <item itemId="7378" public="1" featured="0">
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              <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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      <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>Clinical Profile of COVID-19 in Children and Research Progress on Angiotensin-converting Enzyme 2: A Mini-review</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="64766">
                <text>Qian Gao, Jing Liu, Zhilong Mu, Xianpeng  Yan, Jay Narayan Shah, Fuyong Jiao</text>
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                <text>The cases of coronavirusdisease 2019 in children have been increasing with the ongoing pandemic.The finding suggests children have mild symptoms and a short course of the disease. Angiotensinconverting enzyme-2 mediates entry of the virus into the cell, the combination of virus and ACE2 leads to an increase in activity of angiotensin II, resulting in acute injury to lungs, myocardium and other organs. The infection causes down-regulation of ACE2 expression. The ACE2 plays an important role in the infection progression and clinical characteristics of COVID-19. Works on ACE2 and virus spike protein have future prospects of strategic information on prevention, management as well as vaccine development.</text>
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            <name>Date</name>
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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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                <text>children; Coronavirus Disease 2019 (COVID-19); SARS-Cov-2; Angiotensin-Converting Enzyme 2 (ACE2)</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="64770">
                <text>10.31729/jnma.5436</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="64771">
                <text>Journal of Nepal Medical Association</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="64772">
                <text>Nepal Medical Association</text>
              </elementText>
            </elementTextContainer>
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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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                <text>Medicine (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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                <text>Epidemiology of acute respiratory infections in children in Guangzhou: a three-year study.</text>
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              <elementText elementTextId="28444">
                <text>Qian Liu, Rong Zhou, Xiaokai Chen, De-Hui Chen, Wenkuan Liu, Shuyan Qiu, Meixin Chen, Huan Xi Liang, Zi Yeng Yang</text>
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            <description>An account of the resource</description>
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                <text>Acute Respiratory Infections (ARI) are some of the most common human diseases worldwide. However, they have a complex and diverse etiology, and the characteristics of the pathogens involved in respiratory infections in developing countries are not well understood. In this work, we analyzed the characteristics of 17 common respiratory pathogens in children (≤14 years old) with ARI in Guangzhou, southern China over a 3-year period using real-time polymerase chain reaction. Pathogens were identified in 2361/4242 (55.7%) patients, and the positivity rate varied seasonally. Ten of the 17 pathogens investigated showed positivity rates of more than 5%. The most frequently detected pathogens were respiratory syncytial virus (768/2361, 32.5%), influenza A virus (428/2361, 18.1%), enterovirus (138/2361, 13.3%), Mycoplasma pneumoniae (267/2361, 11.3%) and adenovirus (213/2361, 9.0%). Co-pathogens were common and found in 503 of 2361 (21.3%) positive samples. When ranked according to frequency of occurrence, the pattern of co-pathogens was similar to that of the primary pathogens, with the exception of human bocavirus, human coronavirus and human metapneumovirus. Significant differences were found in age prevalence in 10 of the 17 pathogens (p≤0.009): four basic patterns were observed, A: detection rates increased with age, B: detection rates declined with age, C: the detection rate showed distinct peaks or D: numbers of patients were too low to detect a trend or showed no significant difference among age groups (p&gt;0.05). These data will be useful for planning vaccine research and control strategies and for studies predicting pathogen prevalence.</text>
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                <text>2014</text>
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                <text>DOI: 10.1371/journal.pone.0096674</text>
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                <text>PLoS ONE</text>
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                <text>Science, Medicine</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Using echocardiography to guide the treatment of novel coronavirus pneumonia</text>
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                <text>Qian-Yi Peng, Xiaoting Wang, Li-na Zhang, Chinese Critical Care Ultrasound Study Group (CCUSG)</text>
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                <text>DOI: 10.1186/s13054-020-02856-z</text>
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                <text>Medical emergencies. Critical care. Intensive care. First aid</text>
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            <description>A language of the resource</description>
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                <text>EN</text>
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                <text>Facing coronavirus disease 2019: What do we know so far? (Review).</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80333">
                <text>Qie Guo, Wen Xu, Pan-Feng Wang, Hong-Yan Ji, Xiao-Lei Zhang, Kai Wang, Jing Li</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80334">
                <text>Although the World Health Organization declared the outbreak of coronavirus disease 2019 (COVID-19), which originated in China, as a public health emergency of international concern as early as January 30, 2020, the current COVID-19 epidemic is spreading rapidly. As of April 19, 2020, total of 2,392,165 confirmed cases had been reported in 211 countries and regions, with 614,421 (25.68%) cured cases and 164,391 (6.87%) deaths. Scientists and clinicians have made great efforts to learn much about COVID-19 so that it can be controlled as soon as possible. Herein, this review will discuss the epidemiology, pathology, clinical features, diagnosis and treatment of COVID-19 based on the current evidence.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <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="80335">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80336">
                <text>coronavirus, Coronavirus disease 2019, severe acute respiratory syndrome coronavirus 2</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="80337">
                <text>10.3892/etm.2021.10090</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="80338">
                <text>Experimental and therapeutic medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
</itemContainer>
