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                <text>COVID-19 pandemic: a viewpoint from Asia</text>
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                <text>Md. Abdullah-Al-Shafi</text>
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                <text>Abstract The expansion of severe acute respiratory syndrome (SARS) coronavirus 2 (SARSCoV-2) has now procured on epidemic percentages, affecting more than 190 nations in a matter of weeks. A widespread SARSCoV-2 contagion begun in Wuhan, Hubei Province, China, and circulate through China and beyond in December 2019. The containment events in China have lessened new instances by more than 90%, but this diminution is not the case to a different place. European countries like Italy and Spain have been the most affected. In Asia, the COVID-19 brings a catastrophe where after China mainland, countries like Iran and South Korea have been affected. There is now severe apprehension concerning the Asian health care system’s ability to effectually counter to the necessities of patients who are infected and need rigorous precaution for COVID-19. The patient’s ratio in special care reported in Iran has perpetually been between 6 and 8% who are rapidly infected. As about South Korea, the ratio is 3% and 4% who are rapidly infected. This analysis emphasizes the epidemiology of COVID-19, its effects in the Asia continent, and active case study of COVID-19 including the distinct countries.</text>
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                <text>DOI: 10.1186/s42269-020-00337-5</text>
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                <text>Bulletin of the National Research Centre</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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                <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>DOI: 10.3390/computation8020053</text>
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                <text>Electronic computers. Computer science</text>
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                <text>An Open Question: Is It Rational to Inhibit the mTor-Dependent Pathway as COVID-19 Therapy?</text>
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                <text>Giuseppe Terrazzano, Angela Giovazzino, Valentina Rubino, Anna Teresa Palatucci, Giuseppina Ruggiero, Flavia Carriero</text>
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                <text>DOI: 10.3389/fphar.2020.00856</text>
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                <text>Frontiers in Pharmacology</text>
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                <text>Prepare to succeed, panic to fail: The mantra for COVID-19 prevention in India</text>
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                <text>DOI: 10.18332/popmed/120074</text>
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                <text>Economic Consequences of the COVID-19 Outbreak: the Need for Epidemic Preparedness</text>
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                <text>Emma S. McBryde, Oyelola A. Adegboye, Adeshina  I. Adekunle, Damon P Eisen, Anton Pak, Kazi M. Rahman</text>
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                <text>COVID-19 is not only a global pandemic and public health crisis; it has also severely affected the global economy and financial markets. Significant reductions in income, a rise in unemployment, and disruptions in the transportation, service, and manufacturing industries are among the consequences of the disease mitigation measures that have been implemented in many countries. It has become clear that most governments in the world underestimated the risks of rapid COVID-19 spread and were mostly reactive in their crisis response. As disease outbreaks are not likely to disappear in the near future, proactive international actions are required to not only save lives but also protect economic prosperity.</text>
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                <text>Frontiers in Public Health</text>
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                <text>As the COVID-19 pandemic has had a profound impact on public health and global economies in 2020; it is crucial to understand how it developed and spread in time and space. This paper contributes to the growing literature by considering the dynamics of country-wise growth rates of infection numbers. Low-order serial correlation of growth rates is predominantly negative with cycles of two to four days for most countries. The results of fitted spatial autoregressive models suggest that there is high degree of spillover between countries. Forecast variances of many countries, in particular those with a high absolute number of infections, can to a large extent be explained by structural innovations of other countries. A better understanding of the serial and spatial dynamics of the spread of the pandemic may contribute to an improved containment and risk management.</text>
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                <text>DOI: 10.3390/ijerph17113827</text>
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                <text>The Coronavirus (CoV) is a large family of viruses known to cause illnesses ranging from the common cold to acute respiratory tract infection. The severity of the infection may be visible as pneumonia, acute respiratory syndrome, and even death. Until the outbreak of SARS, this group of viruses was greatly overlooked. However, since the SARS and MERS outbreaks, these viruses have been studied in greater detail, propelling the vaccine research. On December 31, 2019, mysterious cases of pneumonia were detected in the city of Wuhan in China's Hubei Province. On January 7, 2020, the causative agent was identified as a new coronavirus (2019-nCoV), and the disease was later named as COVID-19 by the WHO. The virus spread extensively in the Wuhan region of China and has gained entry to over 210 countries and territories. Though experts suspected that the virus is transmitted from animals to humans, there are mixed reports on the origin of the virus. There are no treatment options available for the virus as such, limited to the use of anti-HIV drugs and/or other antivirals such as Remdesivir and Galidesivir. For the containment of the virus, it is recommended to quarantine the infected and to follow good hygiene practices. The virus has had a significant socio-economic impact globally. Economically, China is likely to experience a greater setback than other countries from the pandemic due to added trade war pressure, which have been discussed in this paper.</text>
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                <text>DOI: 10.3389/fpubh.2020.00216</text>
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                <text>Frontiers in Public Health</text>
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                <text>Frontiers Media S.A.</text>
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                <text>Fei Ma, Binliang Liu, Hong-Nan Mo</text>
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                <text>DOI: 10.3389/fonc.2020.00925</text>
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                <text>Frontiers in Oncology</text>
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                <text>Frontiers Media S.A.</text>
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                <text>Neoplasms. Tumors. Oncology. Including cancer and carcinogens</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Severe COVID-19, Another Piece in the Puzzle of the Hyperferritinemic Syndrome. An Immunomodulatory Perspective to Alleviate the Storm</text>
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                <text>The coronavirus disease 2019 (COVID-19), an acute respiratory disease caused by severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2), has been declared as a worldwide public health emergency. Interestingly, severe COVID-19 is characterized by fever, hyperferritinemia, and a hyper-inflammatory process with a massive release of pro-inflammatory cytokines, which may be responsible for the high rate of mortality. These findings may advocate for a similarity between severe COVID-19 and some challenging rheumatic diseases, such as adult onset Still's disease, secondary hemophagocytic lymphohistiocytosis, and catastrophic anti-phospholipid syndrome, which have been included in the “hyperferritinemic syndrome” category. Furthermore, as performed in these hyper-inflammatory states, severe COVID-19 may benefit from immunomodulatory therapies.</text>
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                <text>DOI: 10.3389/fimmu.2020.01130</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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                <text>Fahim Ullah, Samad  M. E. Sepasgozar</text>
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                <text>The real estate sector is receiving mix responses throughout the world, with some countries like USA receiving lesser and European and Asia Pacific markets receiving more transactions in recent years. Among the concerning factors, post-purchase regrets by the real estate owners or renters are on the rise, which have never been assessed to date through scholarly research. These regrets can further increase in the time of lockdowns and bans on inspections due to Corona Virus Disease 2019 (COVID-19) and social distancing rules enforced by various countries such as Australia. The current study aims at investigating the key post-purchase regret factors of real estate and property owners and renters over the last decade using published literature and online threads. Based on pertinent literature, 118 systematically identified and text-mined articles, and four online threads with 135 responses, the current study develops system dynamics models to assess and predict the increase in consumers’ regrets over the last decade. Further, a user-generated thread with 23 responses involving seven real estate managers and five agents with more than 20 years of experience, 10 buyers with at least three successful rentals or purchases, and a photographer with more than 10 years of experience, is initiated on five online discussion platforms whereby the respondents are involved in a detailed discussion to highlight the regret reasons specific to real estate purchases based on online information. General architecture for text mining (GATE) software has been utilised to mine the text from both types of threads: Published and user generated. Overall, the articles and threads published over the last decade are studied under two periods: P1 (2010-2014) and P2 (2015-2019) to highlight the post-purchase or rent-related regret reasons. The results show that regret levels of the real estate consumers based on published post-purchase data are at an alarmingly high level of 88%, which compared to 2015, has increased by 18%. Among the major cited reasons, complicated buy–sell process, lack or accuracy of information, housing costs, house size, mortgages, agents, inspections, and emotional decision making are key reasons of regret. Overall, a total of 10% and 8% increases have occurred in the regrets related to the buy–sell process and lack of inspections, respectively. On the other hand, regrets related to agents and housing costs have decreased drastically by 40% mainly due to the good return on investments in the growing markets. However, based on the current trend of over reliance on online information and more powers to the agents controlling online information coupled with lack of physical inspections, the situation can change anytime. Similarly, lack of information, housing size, and mortgage-related regrets have also decreased by 7%, 5%, and 2%, respectively, since 2019. The results are expected to encourage policy level changes for addressing the regrets and uplifting the real estate industry and moving towards a smart and sustainable real estate sector. These results and pertinent discussions may help the real estate decision makers to uplift the current state, move towards a smart real estate, and avoid futuristic regrets, especially in the COVID-hit environment where most of the industries are struggling to survive. Careful attention is required to the top regret factors identified in the study by the real estate managers, investors, and agents to pave the way for a more managed real estate and property sector whereby the consumers are more satisfied with the value they receive for their money. This win–win situation will enhance the property business and remove the stigmas of intentional and deliberate withholding of information by managers and agents from the property and real estate sectors that can help boost the business through more purchases and satisfaction of its customers.</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="32247">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="32248">
                <text>text mining, systems modelling, online information, real estate regrets, post-purchase regrets, buy-sell process</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="32249">
                <text>DOI: 10.3390/su12114382</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="32250">
                <text>Sustainability</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="32251">
                <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="32252">
                <text>Environmental sciences, Renewable energy sources, Environmental effects of industries and plants</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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    </elementSetContainer>
  </item>
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