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                <text>Fawaz Al-Mufti, Christian Becker, Haris Kamal, Hussein Alshammari, Vincent Dodson, Rolla Nuoman, Katarina Dakay, Jared Cooper, Edwin Gulko, Gurmeen Kaur, Ramandeep Sahni, Corey Scurlock, Stephan A Mayer, Chirag D Gandhi</text>
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                <text>The current Coronavirus pandemic due to the novel SARS-Cov-2 virus has proven to have systemic and multi-organ involvement with high acuity neurological conditions including acute ischemic strokes. We present a case series of consecutive COVID-19 patients with cerebrovascular disease treated at our institution including 3 cases of cerebral artery dissection including subarachnoid hemorrhage. Knowledge of the varied presentations including dissections will help treating clinicians at the bedside monitor and manage these complications preemptively.</text>
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                <text>10.1016/j.jstrokecerebrovasdis.2020.105429</text>
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                <text>Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association</text>
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                <text>OBJECTIVE: To study the clinical, laboratory, and radiological characteristics of the pediatric patients infected with the new emerging 2019 coronavirus virus (SARS-CoV-2) in Hamadan and Sanandaj, west of Iran. METHODS: A descriptive study was conducted in Hamadan and Kurdistan province between March 1 to April 15, 2020. Medical records of the children diagnosed as probable or confirmed cases of COVID-19 disease were extracted and analyzed in this study. We followed the WHO Guideline for the case definition of the patients. RESULTS: Thirty patients admitted to the wards specified for COVID-19 diseases. Nineteen (63%) patients categorized as confirmed by Real-Time Reverse-Transcriptase Polymerase Chain Reaction (RT-PCR) and 11 (37%) patients as probable according to Computed Tomography (CT) findings of the chest. Sixteen (53.3%) cases were female, the youngest patient was one day old, and the oldest patient was 15 years old. 11 (36.7%) cases had a definite history of close contact. The most common symptoms were fever, cough, and dyspnea, and the most common sign was tachypnea. None of our patients presented with a runny nose. Lymphopenia and marked elevation of the C-reactive Protein observed in four (13.3%) and 12 (40%) cases, respectively. There were 10 (33.3%) cases with normal chest X-rays. Ground-Glass Opacities (GGOs) were the most common CT findings (19, 73.1%). All but one of the patients discharged without sequala. An 11-yrs-old girl expired with a fulminant pneumonia. CONCLUSION: COVID-19 is not uncommon in children and could have different presentations. Concomitant use of RT-PCR and chest CT scans in symptomatic cases recommended as a modality of choice to diagnose the disease. Routine laboratory tests, like many other viral infections, may not show significant or specific changes. The superimposed bacterial infection seems not the determinant of clinical outcomes as most patients had a negative evaluation by specific laboratory tests for bacterial infections; got improved dramatically with a short or no antibiotic therapy.</text>
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                <text>coronavirus, child, COVID-19 disease, diagnosis; imaging; iran</text>
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                <text>10.14744/nci.2020.90277</text>
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                <text>Анна Владимировна Андреенкова</text>
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                <text>Внедрение цифровых технологий приводит к изменениям во многих областях социальной жизни, постепенному переходу к «цифровому обществу». Карантинные меры по предотвращению распространения COVID-19 стали стимулирующим фактором развития цифровых социальных контактов. В первую очередь эти изменения затрагивают молодежь. Данные сравнительного исследования «Международный опрос о благополучии студентов в период коронавируса» (ISSC-МОБС) показывают, что во время режима самоизоляции социальные контакты остались важнейшим элементом образа жизни студенческой молодежи благодаря использованию цифровых форм взаимодействия. Внедрение цифровых технологий в социальную жизнь повысило интенсивность межпоколенных, личных и общих социальных контактов. В период карантина цифровые коммуникации позволили существенно снизить риски социальной изоляции, сохранить социальные связи, поддержать стабильность системы социальных отношений.   Цифровые контакты не становятся заменой личному общению с семьей, партнером и близким кругом людей, не ведут к меньшей интенсивности таких контактов, а дополняют имеющиеся возможности. Форма социальных контактов и субъекты контактов значимо влияют на социально-психологическое состояние людей во время карантинных мер. Интенсивное общение с близкими людьми в любой, в том числе цифровой форме, положительным образом сказывается на социально-психологическом состоянии, снижает вероятность проявления симптомов депрессии и одиночества, стимулирует положительные эмоции. Однако длительное время, проведенное в социальных сетях, безличные формы контактов без установления стабильной эмоциональной связи, напротив, ведут к увеличению симптомов депрессии, негативно влияют на социально-психологическое самочувствие студенческой молодежи.   Влияние цифровизации двойственно: оно ведет к расширению возможностей для социальных контактов с близкими людьми в кризисных ситуациях или в условиях территориальной удаленности, но в случае интенсивного погружения в мир цифровых социальных сетей оказывает негативный социально-психологический эффект.</text>
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                <text>депрессия, цифровизация социальных контактов, интенсивность социальных контактов, формы социальных контактов, социальные последствия эпидемии covid-19, социально-психологическое самочувствие, международный опрос о благополучии студентов в период коронавируса (мобс)</text>
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                <text>Biotemas</text>
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                <text>Universidade Federal de Santa Catarina</text>
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                <text>Sociology (General)</text>
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                <text>Snakebite in the wake of COVID-19 - what's next?</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Bethany Moos</text>
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                <text>2020</text>
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                <text>Journal of venom research</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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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>An Efficient COVID-19 Prediction Model Validated with the Cases of China, Italy and Spain: Total or Partial Lockdowns?</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Samuel Sanchez-Caballero, Miguel A. Selles, Miguel A. Peydro, Elena Perez-Bernabeu</text>
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            <description>An account of the resource</description>
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                <text>The present work develops an accurate prediction model of the COVID-19 pandemic, capable not only of fitting data with a high regression coefficient but also to predict the overall infections and the infection peak day as well. The model is based on the Verhulst equation, which has been used to fit the data of the COVID-19 spread in China, Italy, and Spain. This model has been used to predict both the infection peak day, and the total infected people in Italy and Spain. With this prediction model, the overall infections, the infection peak, and date can accurately be predicted one week before they occur. According to the study, the infection peak took place on 23 March in Italy, and on 29 March in Spain. Moreover, the influence of the total and partial lockdowns has been studied, without finding any meaningful difference in the disease spread. However, the infected population, and the rate of new infections at the start of the lockdown, seem to play an important role in the infection spread. The developed model is not only an important tool to predict the disease spread, but also gives some significant clues about the main factors that affect to the COVID-19 spread, and quantifies the effects of partial and total lockdowns as well.</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>coronavirus, China, covid-19, prediction, model, forecast</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>10.3390/jcm9051547</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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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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            <description>A name given to the resource</description>
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                <text>USA stockpiling of remdesivir: How should the world respond?</text>
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="40178">
                <text>Dalia Dawoud, Kalipso Chalkidou, Richard Sullivan, Francis J Ruiz, Amanda Adler</text>
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                <text>The race to find an effective treatment for coronavirus disease 2019 (COVID-19) is still on, with only two treatment options currently authorized for emergency use and/or recommended for patients hospitalized with severe respiratory symptoms: low-dose dexamethasone and remdesivir. The USA decision to stockpile the latter has resulted in widespread condemnation and in similar action being taken by some other countries. In this commentary we discuss whether stockpiling remdesivir is justified in light of the currently available evidence.</text>
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                <text>2020</text>
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            <description>The topic of the resource</description>
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                <text>coronavirus, antiviral, covid-19, SARS-CoV-2, Remdesivir, Dexamethasone, stockpiling</text>
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                <text>10.2217/cer-2020-0174</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="40183">
                <text>Journal of comparative effectiveness research</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>Text</name>
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            <description>A name given to the resource</description>
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                <text>Верю-не-верю: общественное мнение и слухи о происхождении нового коронавируса</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Айгуль Маратовна Климова, Кирилл Шамилевич Чмель, Никита Юрьевич Савин</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="40170">
                <text>Проблема ответа на сенситивные вопросы не имеет универсального решения и варьируется как по темам, так и по странам. Особенно актуальной она оказывается в моменты кризисов, когда непроверенная информация может рождать опасные социальные последствия. В нашем исследовании, проведенном на студентах одного крупного российского вуза, была апробирована техника непарных чисел для определения процента тех, кто верит слухам о причинах распространения COVID-19. С помощью применения этой техники мы обнаружили, что 15,6% студентов верят слухам. Данная доля была значительно выше в случае применения метода по сравнению с методом прямого вопроса. Работа подтверждает релевантность использования техники непарных чисел для изучения сенситивных вопросов и, в частности, веры граждан в неподтвержденные слухи.   Благодарность. Исследование выполнено за счет гранта Российского Фонда Фундаментальных Исследований № 20-011-31725 «Механизмы формирования общественного мнения в условиях кризисной медиа-повестки».</text>
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                <text>covid-19, эксперимент, слухи, фейковые новости, техника непарных чисел</text>
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                <text>10.14515/monitoring.2020.6.1752</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
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                <text>Biotemas</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Universidade Federal de Santa Catarina</text>
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          <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>
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              <elementText elementTextId="40176">
                <text>Sociology (General)</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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