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                <text>Development of a Novel, Genome Subtraction-Derived, SARS-CoV-2-Specific COVID-19-nsp2 Real-Time RT-PCR Assay and Its Evaluation Using Clinical Specimens</text>
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                <text>Cyril  Chik-Yan Yip, Chi-Chun Ho, Jasper  Fuk-Woo Chan, Kelvin  Kai-Wang To, Helen  Shuk-Ying Chan, Sally  Cheuk-Ying Wong, Kit-Hang Leung, Agnes  Yim-Fong Fung, Anthony  Chin-Ki Ng, Zijiao Zou, Anthony  Raymond Tam, Tom  Wai-Hin Chung, Kwok-Hung Chan, Ivan  Fan-Ngai Hung, Vincent  Chi-Chung Cheng, Owen  Tak-Yin Tsang, Stephen  Kwok Wing Tsui, Kwok-Yung Yuen</text>
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                <text>The pandemic novel coronavirus infection, Coronavirus Disease 2019 (COVID-19), has affected at least 190 countries or territories, with 465,915 confirmed cases and 21,031 deaths. In a containment-based strategy, rapid, sensitive and specific testing is important in epidemiological control and clinical management. Using 96 SARS-CoV-2 and 104 non-SARS-CoV-2 coronavirus genomes and our in-house program, GolayMetaMiner, four specific regions longer than 50 nucleotides in the SARS-CoV-2 genome were identified. Primers were designed to target the longest and previously untargeted nsp2 region and optimized as a probe-free real-time reverse transcription-polymerase chain reaction (RT-PCR) assay. The new COVID-19-nsp2 assay had a limit of detection (LOD) of 1.8 TCID50/mL and did not amplify other human-pathogenic coronaviruses and respiratory viruses. Assay reproducibility in terms of cycle threshold (Cp) values was satisfactory, with the total imprecision (% CV) values well below 5%. Evaluation of the new assay using 59 clinical specimens from 14 confirmed cases showed 100% concordance with our previously developed COVID-19-RdRp/Hel reference assay. A rapid, sensitive, SARS-CoV-2-specific real-time RT-PCR assay, COVID-19-nsp2, was developed.</text>
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                <text>10.3390/ijms21072574</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>Dominio científico: Coronavirus</text>
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                <text>Views and Evaluations of University Students about Distance Education During the COVID-19 Pandemic</text>
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                <text>Ahmet Sahbaz</text>
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                <text>10.22521/edupij.2020.93.5</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Biotemas</text>
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                <text>Universidade Federal de Santa Catarina</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>Education (General), Education</text>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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              <name>Description</name>
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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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            <name>Title</name>
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                <text>Measuring Italian citizens’ engagement in the first wave of the COVID-19 pandemic containment measures: A cross-sectional study</text>
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                <text>Guendalina Graffigna, Serena Barello, Mariarosaria Savarese, Lorenzo Palamenghi, Greta Castellini, Andrea Bonanomi, Edoardo Lozza, Wen-Jun Tu</text>
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                <text>Background In January 2020, the coronavirus disease 2019 (COVID-19) started to spread in Italy. The Italian government adopted urgent measures to slow its spread. Enforcing compliance with such measures is crucial in order to enhance their effectiveness. Engaging citizens in the COVID-19 preventive process is urgent today both in Italy and around the world. However, to the best of our knowledge, no previous studies have investigated the role of health engagement in predicting citizens’ compliance with health emergency containment measures. Method An online survey was administered between February 28 and March 4, 2020 on a representative sample of 1000 Italians. The questionnaire included a measure of health engagement (Patient Health Engagement Scale), a 5-item Likert scale ranging from 1 to 7, resulting in 4 positions that describe the psychological readiness to be active in one’s own health management, and a series of ad hoc items intended to measure citizens’ perceived susceptibility and severity of the disease, orientation towards health management, trust in institutional bodies, health habits and food consumption. To investigate the relationship between health engagement and these variables, ANOVA analysis, logistic regression and contingency tables with Pearson’s chi-squared analysis have been carried out. Results Less engaged people show higher levels of perceived susceptibility to the virus and severity of the disease; they are less trustful of scientific and healthcare authorities, they feel less self-effective in managing their own health—both in normal conditions and under stress—and are less prone to cooperate with healthcare professionals. Low levels of health engagement also are associated with a change in the usual purchase behavior. Conclusions The Patient Health Engagement model (PHE) provides a useful framework for understanding how people will respond to health threats such as pandemics. Therefore, intervention studies should focus on raising their levels of engagement to increase the effectiveness of educational initiatives intended to promote preventive behaviors.</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>Epidemiological, Clinical and Serological Characteristics of Children with Coronavirus Disease 2019 in Wuhan: A Single-centered, Retrospective Study.</text>
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                <text>Dan Luo, Zhi Xia, Heng Li, Danna Tu, Ting Wang, Wei Zhang, Lu Peng, Wenfu Yi, Sai Zhang, Junhua Shu, Hui Xu, Yong Li, Buyun Shi, Chengjiao Huang, Wen Tang, Shuna Xiao, Xiaolan Shu, Yan Liu, Yuan Zhang, Shan Guo, Zhi Yu, Baoxiang Wang, Yuan Gao, Qinxue Hu, Hanzhong Wang, Xiaohui Song, Hong Mei, Xiaoqin Zhou, Zhenhua Zheng</text>
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                <text>10.1007/s12250-020-00333-z</text>
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                <text>Virologica Sinica</text>
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                <text>COVID-19: A review of what radiologists need to know.</text>
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              <elementText elementTextId="40588">
                <text>Lei Tang, Yi Wang, Yun Zhang, Xiao-Yong Zhang, Xian-Chun Zeng, Bin Song</text>
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            <description>An account of the resource</description>
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                <text>Coronavirus disease-2019 (COVID-19) is spreading throughout the world. Chest radiography and computed tomography play an important role in disease diagnosis, differential diagnosis, severity evaluation, prognosis prediction, therapeutic effects assessment and follow-up of patients with COVID-19. In this review, we summarize knowledge of COVID-19 pneumonia that may help improve the abilities of radiologists to diagnose and evaluate this highly infectious disease, which is essential for epidemic control and preventing new outbreaks in the short term.</text>
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                <text>World journal of clinical cases</text>
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