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              <name>Title</name>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>A Mental Health First Aid Service in an Italian University Public Hospital during the Coronavirus Disease 2019 Outbreak</text>
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                <text>Roberto Vitelli, Mario Bottone, Paolo Valerio, Cristiano Scandurra, Alessandro Chiodi, Nelson Mauro Maldonato, Raffaella De Falco, Benedetta Muzii, Grazia Isabella Continisio, Marzia Duval, Gerarda Siani</text>
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                <text>The recent outbreak of coronavirus disease 2019 (COVID-19) has been extremely stressful and has produced fear and anxiety throughout the population, representing a psychological emergency. This work aimed at presenting a mental health first aid service established within an Italian university public hospital context to address four different population targets (i.e., people vulnerable to mental health problems, health-care professionals, people in isolation, and general citizenship). Specifically, the organizational structure comprising four different areas (i.e., management, clinical, communication, and research) and first data collected from the foundation of the service until 3 May 2020 are presented. Findings indicated that anxiety and fear of contagion were the main motivations prompting both the general population and health-care professionals to ask for a psychological help. Furthermore, findings indicate that clients’ current quality of life was perceived as lower than in the past but also that imagined in the future, highlighting the importance of psychological first aid interventions. This service may represent an example for helping mental health professionals in developing similar services in their local realities, promoting health and individual and community resilience.</text>
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                <text>2020</text>
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                <text>Quality of Life, first aid, Mental health, psychological intervention, COVID-19</text>
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            <name>Identifier</name>
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                <text>DOI: 10.3390/su12104244</text>
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                <text>Sustainability</text>
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            <description>An entity responsible for making the resource available</description>
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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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                <text>Environmental sciences, Renewable energy sources, Environmental effects of industries and plants</text>
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              <name>Title</name>
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                  <text>Dominio científico: Coronavirus</text>
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            <description>A name given to the resource</description>
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                <text>Forecasting and Evaluating Multiple Interventions for COVID-19 Worldwide</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Li Jin, Eric Boerwinkle, Momiao Xiong, Zixin Hu, Qiyang Ge, Shudi Li</text>
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                <text>As the Covid-19 pandemic surges around the world, questions arise about the number of global cases at the pandemic's peak, the length of the pandemic before receding, and the timing of intervention strategies to significantly stop the spread of Covid-19. We have developed artificial intelligence (AI)-inspired methods for modeling the transmission dynamics of the epidemics and evaluating interventions to curb the spread and impact of COVID-19. The developed methods were applied to the surveillance data of cumulative and new COVID-19 cases and deaths reported by WHO as of March 16th, 2020. Both the timing and the degree of intervention were evaluated. The average error of five-step ahead forecasting was 2.5%. The total peak number of cumulative cases, new cases, and the maximum number of cumulative cases in the world with complete intervention implemented 4 weeks later than the beginning date (March 16th, 2020) reached 75,249,909, 10,086,085, and 255,392,154, respectively. However, the total peak number of cumulative cases, new cases, and the maximum number of cumulative cases in the world with complete intervention after 1 week were reduced to 951,799, 108,853 and 1,530,276, respectively. Duration time of the COVID-19 spread was reduced from 356 days to 232 days between later and earlier interventions. We observed that delaying intervention for 1 month caused the maximum number of cumulative cases reduce by −166.89 times that of earlier complete intervention, and the number of deaths increased from 53,560 to 8,938,725. Earlier and complete intervention is necessary to stem the tide of COVID-19 infection.</text>
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            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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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>forecasting, artificial intelligence, time series, autoencoder, Transmission dynamics, COVID-19</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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                <text>DOI: 10.3389/frai.2020.00041</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="31435">
                <text>Frontiers in Artificial Intelligence</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="31436">
                <text>Frontiers Media S.A.</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>Electronic computers. Computer science</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Ecografía pulmonar y COVID-19</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>María Carolina Cabrera Schulmeyer</text>
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            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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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>COVID-19, ultrasonido pulmonar</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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                <text>DOI: 10.25237/revchilanestv49n03.024</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="31443">
                <text>Revista Chilena de Anestesia</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Editorial Iku</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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              <elementText elementTextId="31445">
                <text>Medicine, Anesthesiology</text>
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              <name>Title</name>
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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>Title</name>
            <description>A name given to the resource</description>
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                <text>Ventilación mecánica compartida: ¿Una herramienta fútil o una estrategia aceptable para superar la crisis?</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Alejandro Placenti, Matías Ramos, Susana Gabriela Pérez</text>
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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>crisis, ventilación mecánica, COVID-19, colapso sanitario</text>
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                <text>DOI: 10.25237/revchilanestv49n03.013</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Revista Chilena de Anestesia</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Editorial Iku</text>
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            <name>Coverage</name>
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                <text>Medicine, Anesthesiology</text>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Nitric oxide inhalation as an interventional rescue therapy for COVID-19-induced acute respiratory distress syndrome</text>
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                <text>Jun Kobayashi, Isamu Murata</text>
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                <text>Abstract COVID-19 is an emerging disease of public health concern. While there is no specific recommended treatment for COVID-19, nitric oxide has the potential to be of therapeutic value for managing acute respiratory distress syndrome in patients with COVID-19. However, inhaled nitric oxide has not yet been formally evaluated. Given the extent of the COVID-19 pandemic, and the large numbers of hospitalized patients requiring respiratory support, clinical use of inhaled nitric oxide may become an alternate rescue therapy before extracorporeal membrane oxygenation for the management of acute respiratory distress syndrome in patients with COVID-19.</text>
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                <text>2020</text>
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                <text>DOI: 10.1186/s13613-020-00681-9</text>
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                <text>Annals of Intensive Care</text>
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                <text>Medical emergencies. Critical care. Intensive care. First aid</text>
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                <text>Lorena Vega-Zelaya, Jesús Pastor, Elena Martín Abad</text>
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                <text>We used quantified electroencephalography (qEEG) to define the features of encephalopathy in patients released from the intensive care unit after severe illness from COVID-19. Artifact-free 120–300 s epoch lengths were visually identified and divided into 1 s windows with 10% overlap. Differential channels were grouped by frontal, parieto-occipital, and temporal lobes. For every channel and window, the power spectrum was calculated and used to compute the area for delta (0–4 Hz), theta (4–8 Hz), alpha (8–13 Hz), and beta (13–30 Hz) bands. Furthermore, Shannon’s spectral entropy (SSE) and synchronization by Pearson’s correlation coefficient () were computed; cases of patients diagnosed with either infectious toxic encephalopathy (ENC) or post-cardiorespiratory arrest (CRA) encephalopathy were used for comparison. Visual inspection of EEGs of COVID patients showed a near-physiological pattern with scarce anomalies. The distribution of EEG bands was different for the three groups, with COVID midway between distributions of ENC and CRA; specifically, temporal lobes showed different distribution for EEG bands in COVID patients. Besides, SSE was higher and hemispheric connectivity lower for COVID. We objectively identified some numerical EEG features in severely ill COVID patients that can allow positive diagnosis of this encephalopathy.</text>
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                <text>DOI: 10.3390/jcm9051545</text>
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                <text>Journal of Clinical Medicine</text>
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                <text>Battling COVID-19: using old weapons for a new enemy</text>
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                <text>Nitin Gupta,, Rohit Kumar, Manish Soneja, Naveet Wig, Ankit Mittal, Parul Kodan</text>
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                <text>Abstract Coronavirus disease-19 (COVID-19) has reached pandemic proportions. Most of the drugs that are being tried for the treatment have not been evaluated in any randomized controlled trials. The purpose of this review was to summarize the in-vitro and in-vivo efficacy of these drugs on Severe Acute Respiratory Syndrome (SARS-CoV-2) and related viruses (SARS and Middle East Respiratory Syndrome) and evaluate their potential for re-purposing them in the management of COVID-19.</text>
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                <text>DOI: 10.1186/s40794-020-00107-1</text>
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                <text>Tropical Diseases, Travel Medicine and Vaccines</text>
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                <text>BMC</text>
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                <text>Arctic medicine. Tropical medicine</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Epidemiological and Clinical Characteristics of Patients With Coronavirus Disease-2019 in Shiyan City, China</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Jing Yang, Jian Li, Jianguo Wu, Long Liu, Bei Li, Zhixin Liu, Xiao Xiao, Xu Lei, Weiyong Liu, Jian-Yong Zhu, Huabing Tan, Weixing Du, Manshan Ji, Zhixiong Jin</text>
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                <text>To investigate the early epidemic of COVID-19, a total of 176 confirmed COVID-19 cases in Shiyan city, Hubei province, China were surveyed. Our data indicated that the rate of emergence of early confirmed COVID-19 cases in Hubei province outside Wuhan was dependent on migration population, and the second-generation of patients were family clusters originating from Wuhan travelers. Epidemiological investigation indicated that the reproductive number (R0) under containment strategies was 1.81, and asymptomatic SARS-CoV-2 carriers were contagious with a transmission rate of 10.7%. Among the 176 patients, 53 were admitted to the Renmin Hospital of Hubei University of Medicine. The clinical characteristics of these 53 patients were collected and compared based on a positive RT-PCR test and presence of pneumonia. Clinical data showed that 47.2% (25/53) of COVID-19 patients were co-infected with Mycoplasma pneumoniae, and COVID-19 patients coinfected with M. pneumoniae had a higher percentage of monocytes (P &amp;lt; 0.0044) and a lower neutrophils percentage (P &amp;lt; 0.0264). Therefore, it is important to assess the transmissibility of infected asymptomatic individuals for SARS-CoV-2 transmission; moreover, clinicians should be alert to the high incidence of co-infection with M. pneumoniae in COVID-19 patients.</text>
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                <text>2020</text>
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                <text>co-infection, Mycoplasma pneumonia, Asymptomatic Infections, SARS-CoV-2, COVID-19</text>
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              <elementText elementTextId="31485">
                <text>DOI: 10.3389/fcimb.2020.00284</text>
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              <elementText elementTextId="31486">
                <text>Frontiers in Cellular and Infection Microbiology</text>
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              <elementText elementTextId="31487">
                <text>Frontiers Media S.A.</text>
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                <text>Microbiology</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Toward a law of healthy peoples: From the Perspective of the Right to Health</text>
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              <elementText elementTextId="31490">
                <text>Yusheng Tan</text>
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                <text>With the outbreak of the Coronavirus disease (COVID-19) pandemic, the international community isforced to face the global health crisis again. Even though, throughout the course of history, the humanrace has seldom succeeded in getting rid of infectious diseases and global health inequalities completely.Faced with this tragic situation and extreme inequality, some philosophers have put forward someexciting plans, and it is undoubtedly regrettable that Rawls, one of the most outstanding contemporarypolitical philosophers and ethicists, has not addressed this issue in his The Law of Peoples. However, ifRawls wants its philosophical blueprint for the future world – the law of peoples as a “realistic utopia”to be feasible, he has to face the challenges of global health and make a reasonable response. Otherwise,the magnificent building of this “realistic utopia” will collapse. Therefore, the author tries to developRawls’ international justice theory by introducing the idea of the right to health into the law of peoples,so as to hopefully provide a feasible philosophical plan to solve the global health problems.</text>
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                <text>2020</text>
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                <text>global health, John Rawls, the right to health, The Law of Peoples</text>
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                <text>DOI: 10.29202/fhi/13/12</text>
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              <elementText elementTextId="31495">
                <text>Future Human Image</text>
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                <text>International Society of Philosophy and Cosmology</text>
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                <text>Education</text>
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                <text>Evaluating Transmission Heterogeneity and Super-Spreading Event of COVID-19 in a Metropolis of China</text>
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                <text>Lu Wang, Yuying Li, Mingyuan Li, Xiaohua Zhou, Yunjun ZHANG</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="31500">
                <text>COVID-19 caused rapid mass infection worldwide. Understanding its transmission characteristics, including heterogeneity and the emergence of super spreading events (SSEs) where certain individuals infect large numbers of secondary cases, is of vital importance for prediction and intervention of future epidemics. Here, we collected information of all infected cases (135 cases) between 21 January and 26 February 2020 from official public sources in Tianjin, a metropolis of China, and grouped them into 43 transmission chains with the largest chain of 45 cases and the longest chain of four generations. Utilizing a heterogeneous transmission model based on branching process along with a negative binomial offspring distribution, we estimated the reproductive number R and the dispersion parameter k (lower value indicating higher heterogeneity) to be 0.67 (95% CI: 0.54–0.84) and 0.25 (95% CI: 0.13–0.88), respectively. A super-spreader causing six infections was identified in Tianjin. In addition, our simulation allowing for heterogeneity showed that the outbreak in Tianjin would have caused 165 infections and sustained for 7.56 generations on average if no control measures had been taken by local government since 28 January. Our results highlighted more efforts are needed to verify the transmission heterogeneity of COVID-19 in other populations and its contributing factors.</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="31501">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="31502">
                <text>Superspreading, COVID-19, Transmission heterogeneity</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="31503">
                <text>DOI: 10.3390/ijerph17103705</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="31504">
                <text>International Journal of Environmental Research and Public Health</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="31505">
                <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="31506">
                <text>Medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
</itemContainer>
