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                  <text>Dominio científico: Coronavirus</text>
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                <text>Detection and Prevalence Patterns of Group I Coronaviruses in Bats, Northern Germany</text>
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                <text>Sung Sup Park, Nadine Petersen, Ana Maria Bispo de Filippis, Marcel A. Müller, Klaus Grywna, Florian Gloza-Rausch, Antje Seebens, Anne Ipsen, Matthias Göttsche, Marcus Panning, Augustina Annan, Susanne Pfefferle</text>
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                <text>We tested 315 bats from 7 different bat species in northern Germany for coronaviruses by reverse transcription–PCR. The overall prevalence was 9.8%. There were 4 lineages of group I coronaviruses in association with 4 different species of verspertilionid bats (Myotis dasycneme, M. daubentonii, Pipistrellus nathusii, P. pygmaeus). The lineages formed a monophyletic clade of bat coronaviruses found in northern Germany. The clade of bat coronaviruses have a sister relationship with a clade of Chinese type I coronaviruses that were also associated with the Myotis genus (M. ricketti). Young age and ongoing lactation, but not sex or existing gravidity, correlated significantly with coronavirus detection. The virus is probably maintained on the population level by amplification and transmission in maternity colonies, rather than being maintained in individual bats.</text>
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                <text>2008</text>
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                <text>research, Germany, coronavirus, bats, SARS</text>
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                <text>DOI: 10.3201/eid1404.071439</text>
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                <text>Emerging Infectious Diseases</text>
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                <text>Infectious and parasitic diseases, Medicine</text>
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                <text>Lack of SARS Transmission and U.S. SARS Case-Patient</text>
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                <text>Thomas G. Ksiazek, Elmira T. Isakbaeva, Dean D. Erdman, Benjamin J. Park, Jairam R. Lingappa, Angela J. Peck, E. Claire Newbern, Daniel R. Feikin, Jason T. Fehr, Ashley C. LaMonte, Thong P. Le, Terry L. Burger, Luther V. Rhodes, Andre Weltman</text>
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                <text>In early April 2003, severe acute respiratory syndrome (SARS) was diagnosed in a Pennsylvania resident after his exposure to persons with SARS in Toronto, Canada. To identify contacts of the case-patient and evaluate the risk for SARS transmission, a detailed epidemiologic investigation was performed. On the basis of this investigation, 26 persons (17 healthcare workers, 4 household contacts, and 5 others) were identified as having had close contact with this case-patient before infection-control practices were implemented. Laboratory evaluation of clinical specimens showed no evidence of transmission of SARS-associated coronavirus (SARS-CoV) infection to any close contact of this patient. This investigation documents that, under certain circumstances, SARS-CoV is not readily transmitted to close contacts, despite ample unprotected exposures. Improving the understanding of risk factors for transmission will help focus public health control measures.</text>
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                <text>Canada, Epidemiology, United States, disease transmission, severe acute respiratory syndrome (SARS), SARS virus</text>
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                <text>DOI: 10.3201/eid1002.030746</text>
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                <text>Emerging Infectious Diseases</text>
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                <text>Infectious and parasitic diseases, Medicine</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>A Computational Approach for Predicting Role of Human MicroRNAs in MERS-CoV Genome</text>
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                <text>Md. Zakir Hossain, Rozina Akter, Md Mahmudul Hasan, Md. Shahin Ullah, Md. Jaynul Abedin, G. M. Ahsan Ullah</text>
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                <text>The new epidemic Middle East Respiratory Syndrome (MERS) is caused by a type of human coronavirus called MERS-CoV which has global fatality rate of about 30%. We are investigating potential antiviral therapeutics against MERS-CoV by using host microRNAs (miRNAs) which may downregulate viral gene expression to quell viral replication. We computationally predicted potential 13 cellular miRNAs from 11 potential hairpin sequences of MERS-CoV genome. Our study provided an interesting hypothesis that those miRNAs, that is, hsa-miR-628-5p, hsa-miR-6804-3p, hsa-miR-4289, hsa-miR-208a-3p, hsa-miR-510-3p, hsa-miR-18a-3p, hsa-miR-329-3p, hsa-miR-548ax, hsa-miR-3934-5p, hsa-miR-4474-5p, hsa-miR-7974, hsa-miR-6865-5p, and hsa-miR-342-3p, would be antiviral therapeutics against MERS-CoV infection.</text>
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                <text>2014</text>
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                <text>DOI: 10.1155/2014/967946</text>
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                <text>Advances in Bioinformatics</text>
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            <name>Publisher</name>
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                <text>Hindawi Limited</text>
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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>Biology (General), Statistics</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>The Clinical Significance of FilmArray Respiratory Panel in Diagnosing Community-Acquired Pneumonia</text>
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                <text>Ping He, Xiaoyang Jiao, Yazhen Li, Qingdong Xie, Changwen Ke, Huanzhu Chen, Huilan Weng, Meirui Lin</text>
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                <text>Aim. FilmArray Respiratory Panel (FilmArray RP) test is an emerging diagnostic method in fast detecting multiple respiratory pathogens; the methodology and clinical significance of FilmArray RP in community-acquired pneumonia (CAP) diagnosis were evaluated in this study. Methods. Specimens from 74 patients with CAP were analyzed and compared using FilmArray RP, traditional multiple PCR assay, bacterial (or fungal) culture, and serological detection. Results. FilmArray RP and multiplex PCR showed 100% coincidence rate in detecting coronaviruses 229E, OC43, HKU1, and NL63, human metapneumovirus, influenza A and B, and parainfluenza viruses (PIV1, PIV2, and PIV4). There were 15 viral specimens tested as disagreement positive results. FilmArray RP had higher detection rate in detecting dual viral and Mycoplasma pneumoniae infection. The positive bacteria (or fungi) were found in 25 specimens. Conclusions. This study demonstrated the capability of FilmArray RP for simultaneous detection of broad-spectrum respiratory pathogens and potential use in facilitating better patient care.</text>
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                <text>2017</text>
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                <text>DOI: 10.1155/2017/7320859</text>
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                <text>BioMed Research International</text>
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                <text>Hindawi Limited</text>
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                <text>Medicine</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Impact of Attending a Healthcare Conference in Toronto During the Severe Acute Respiratory Syndrome Crisis: Survey of Delegates</text>
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                <text>Joel Katz, Jennifer Stinson, Colin JL McCartney, Andrea Leung</text>
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                <text>OBJECTIVE: To describe the impact on delegates of attending the Canadian Pain Society's annual meeting in Toronto during the severe acute respiratory syndrome (SARS) crisis in May 2003.</text>
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                <text>Ting Zhang, Chen Zhang, Linglin Zhang, Xuejun Ma, Weimin Zhou, Zhengde Xie, Li-Jin Cui, Rou-Jian Lu, Chuan-Yan Liu, Li Ruan, Wen-Jie Tan</text>
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                <text>Advances in Virology</text>
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                <text>Hindawi Limited</text>
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                <text>The case of a 72-year-old woman with probable severe acute respiratory syndrome is reported. While on treatment with ribavirin and antibiotics (for community-acquired pneumonia), the patient continued to have progressive clinical deterioration and chest radiographic evidence of respiratory deterioration. Pulse dose intravenous corticosteroids were used in an unsuccessful attempt to treat the inflammatory component of this respiratory illness.</text>
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                <text>DOI: 10.1155/2004/364284</text>
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                <text>Canadian Respiratory Journal</text>
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                <text>Hindawi Limited</text>
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                <text>Noni E MacDonald, Enrique Beldarraín Chaple, Jeff Scott, Beth Halperin, John M Kirk</text>
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                <text>Over the past decade in Canada, infectious disease outbreaks have repeatedly been in the public spotlight. The Escherichia coli outbreak in Walkerton, Ontario (1), the severe acute respiratory syndrome outbreak in Toronto, Ontario (2) and the Clostridium difficile hospital outbreak in Montreal, Quebec (3), have cost lives, grabbed headlines and stressed local health care systems. Each outbreak raised questions about our ability to prevent outbreaks, detect outbreaks early, and respond efficiently and effectively to infectious disease crises; these outbreaks also highlighted gaps in Canada's preparedness for managing major infectious disease problems when multiple jurisdictions are involved (4). Canada's poor track record of tuberculosis control in the north (5) raises the concern that this problem is not limited to crisis situations, but rather has deeper implications for the management of infectious diseases in Canada.</text>
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                <text>DOI: 10.1155/2006/351919</text>
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                <text>Canadian Journal of Infectious Diseases and Medical Microbiology</text>
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                <text>Hindawi Limited</text>
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                <text>Silent War to Emerging or Re-emerging Respiratory Infection Diseases Badly Kept in Mind</text>
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                <text>Zhancheng Gao, Yali Zheng</text>
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                <text>Middle East Respiratory Syndrome; Public Health System; Respiratory Infection</text>
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                <text>DOI: 10.4103/0366-6999.162492</text>
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                <text>Understanding Viral Transmission Behavior via Protein Intrinsic Disorder Prediction: Coronaviruses</text>
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                <text>Vladimir N. Uversky, A Keith Dunker, Gerard Kian-Meng Goh</text>
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                <text>Besides being a common threat to farm animals and poultry, coronavirus (CoV) was responsible for the human severe acute respiratory syndrome (SARS) epidemic in 2002–4. However, many aspects of CoV behavior, including modes of its transmission, are yet to be fully understood. We show that the amount and the peculiarities of distribution of the protein intrinsic disorder in the viral shell can be used for the efficient analysis of the behavior and transmission modes of CoV. The proposed model allows categorization of the various CoVs by the peculiarities of disorder distribution in their membrane (M) and nucleocapsid (N). This categorization enables quick identification of viruses with similar behaviors in transmission, regardless of genetic proximity. Based on this analysis, an empirical model for predicting the viral transmission behavior is developed. This model is able to explain some behavioral aspects of important coronaviruses that previously were not fully understood. The new predictor can be a useful tool for better epidemiological, clinical, and structural understanding of behavior of both newly emerging viruses and viruses that have been known for a long time. A potentially new vaccine strategy could involve searches for viral strains that are characterized by the evolutionary misfit between the peculiarities of the disorder distribution in their shells and their behavior.</text>
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                <text>DOI: 10.1155/2012/738590</text>
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                <text>Journal of Pathogens</text>
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                <text>Hindawi Limited</text>
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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>
            <elementTextContainer>
              <elementText elementTextId="27318">
                <text>Infectious and parasitic diseases, Microbiology</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
</itemContainer>
