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                  <text>Dominio científico: Coronavirus</text>
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                <text>Management of Competitiveness of Metropolis Public Transport in the COVID-19 Pandemic Based on Core Consumers’ Values</text>
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                <text>Galina Timokhina, Natalia Ivashkova, Irina Skorobogatykh, Taira Murtuzalieva, Zhanna Musatova</text>
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                <text>The aim of the paper focuses on generating insights into the competitiveness of public transport in Moscow City in relation to the use of personal cars, considering individual basic consumer values and environmental factors, including the impact of the COVID-19 pandemic. The research question in this study is: how can we assess the main indicators of public transport’s competitiveness, which can motivate personal car owners with specific basic values to change the transportation mode for personal mobility? This conceptual research model combines the content analysis of publications and large-scale online survey of Moscow City’s car owners—potential consumers of public transport services—on a representative quota sample of 1263 respondents. The methodology includes the axiological approach for the identification of the main factors of consumer behavior of personal car owners in the city with combinations of the modified Schwartz’s methodology of the basic individual values evaluations. Secondary data manifested the changes in the behavior of car owners due to the fact that they value metropolitan environmental degradation and changed their transportation preferences to public transport even during the COVID-19 pandemic. Based on the factor and cluster analysis of the value profile of the individuals, seven clusters of car owners were identified, and two large clusters were selected as target segments for public transport services. The conclusion was made that it is necessary to differentiate social and marketing programs to promote the competitiveness of public transport in the minds of consumers.</text>
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                <text>Public transport, competitiveness management, axiological approach, management innovations, indicators of competitiveness, basic consumer values</text>
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                <text>10.3390/joitmc6040192</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>Business, Management. Industrial management</text>
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                <text>Population-Based Estimates of Chronic Conditions Affecting Risk for Complications from Coronavirus Disease, United States</text>
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                <text>Mary L. Adams, David L. Katz, Joseph Grandpre</text>
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                <text>We estimated that 45.4% of US adults are at increased risk for complications from coronavirus disease because of cardiovascular disease, diabetes, respiratory disease, hypertension, or cancer. Rates increased by age, from 19.8% for persons 18–29 years of age to 80.7% for persons &gt;80 years of age, and varied by state, race/ethnicity, health insurance status, and employment.</text>
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                <text>covid-19, risk, coronavirus disease, complications, concurrent conditions, population-based estimates</text>
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                <text>10.3201/eid2608.200679</text>
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                <text>Emerging Infectious Diseases</text>
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                <text>Medicine, Infectious and parasitic diseases</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Differential Tropism of SARS-CoV and SARS-CoV-2 in Bat Cells</text>
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                <text>Susanna K.P. Lau, Antonio C.P. Wong, Hayes K.H. Luk, Kenneth S.M. Li, Joshua Fung, Zirong He, Flora K.K. Cheng, Tony T.Y. Chan, Stella Chu, Kam Leng Aw-Yong, Terrence C.K. Lau, Kitty S.C. Fung, Patrick C.Y. Woo</text>
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                <text>Severe acute respiratory syndrome coronavirus 2 did not replicate efficiently in 13 bat cell lines, whereas severe acute respiratory syndrome coronavirus replicated efficiently in kidney cells of its ancestral host, the Rhinolophus sinicus bat, suggesting different evolutionary origins. Structural modeling showed that RBD/RsACE2 binding may contribute to the differential cellular tropism.</text>
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                <text>2020</text>
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                <text>SARS, severe acute respiratory syndrome, Viruses, SARS-CoV-2, severe acute respiratory syndrome coronavirus 2, coronavirus disease</text>
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                <text>10.3201/eid2612.202308</text>
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                <text>Emerging Infectious Diseases</text>
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                <text>Centers for Disease Control and Prevention</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>Medicine, Infectious and parasitic diseases</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Perinatal mortality and morbidity of SARS-COV-2 infection during pregnancy in European countries: Findings from an international study.</text>
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                <text>Daniele Di Mascio, Francesco D'Antonio</text>
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                <text>10.1016/j.ejogrb.2020.10.009</text>
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                <text>European journal of obstetrics, gynecology, and reproductive biology</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>[COVID-19, tuberculosis and induced mortality].</text>
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                <text>M Underner, J Perriot, G Peiffer, N Jaafari</text>
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                <text>mortality, covid-19, Risk factors, Tuberculosis, SARS-CoV-2, coronavirus 2019, Tuberculose, mortalité, Facteurs de risque</text>
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                <text>10.1016/j.rmr.2020.09.006</text>
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                <text>Revue des maladies respiratoires</text>
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              <description>An account of 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>Detection of Severe Acute Respiratory Syndrome Coronavirus 2 RNA in Blood Donations</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Noor e Saba, Akhlaaq Wazeer, Zahida Qasim, Usman Waheed</text>
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                <text>2020</text>
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            <description>An unambiguous reference to the resource within a given context</description>
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                <text>10.1055/s-0040-1716663</text>
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                <text>Journal of Laboratory Physicians</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Thieme Medical and Scientific Publishers Pvt. Ltd.</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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                  <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>WhatsApp Messenger role in Coronavirus Disease 2019 (COVID 19) Pandemic</text>
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          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="53863">
                <text>Hamed Delam, Ahmadreza Eidi</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Coronavirus disease 2019 (COVID 19), which originated in December 2019, on January 30, 2020 was declared  by the World Health Organization as the sixth public health emergency from international concerns [1]. Since the onset of the disease in late 2019 to mid-June 2020, more than 8.5 million people around the world have been infected with COVID 19. Of these, more than 450,000 have died [2]. So far, six species of human coronavirus have been identified, most of which , like SARS in 2002 and MERS in 2012, cause mild respiratory illness [3]. During the spread of COVID 19 worldwide, people use social media to receive and exchange information [4]. With the advent of smartphones, widespread access to the Internet, and the availability of instant messaging applications, it has become clear that these communications can have numerous benefits for healthcare providers as well. WhatsApp is one of the instant messaging applications that is widely used in healthcare and is, therefore, a popular app [5]; it has about 1.5 billion users worldwide [6]. WhatsApp is compatible with all smartphone operating systems such as iPhone, Android, Windows phone [7]. This messenger allows its users to easily share text and video messages as well as media files and content with other users.  A,lso group chats and the participation of several users in calls for conversation are easily available in this messenger. WhatsApp communications can be done easily and internationally. WhatsApp is available for everyone for an annual subscription fee of $0.99 [6, 8]. In addition to major changes in people's daily lifestyles, social media has improved communication between patients and professionals by establishing fast multimedia communication, health education, social support, and better health decisions, so that WhatsApp has been used in cases such as drug therapy problems, drug and dietary supplements, emotional changes, lifestyle habits, social rights, physical symptoms, commitment to treatment, medical emergencies, oral health promotion and issues of dentistry [9]. According to a study by Kurubaran Ganasegeran et al., most health system employees understand the use of WhatsApp in health and clinical matters, and it has been observed that these messengers in clinical departments (approximately 61% of employees), clinics (about 60%), operating room (56%) and when calling the treatment staff (approximately 55%) have been used [8]. The World Health Organization also defines mobile (wireless) health as public health, supported by wireless devices such as mobile phones, monitoring devices, personal digital assistants (PDAs), and other wireless devices [10]. Given the prevalence of COVID 19 worldwide and the risk to all individuals, the use of WhatsApp Messenger to inform the latest announcements of the World Health Organization, public and regional health centers, health professionals, and researchers can have a significant impact on public health. The messenger can also be used to effectively communicate with members of the medical staff to resolve the questions and rumors, and avoid frequent visits to health centers that are high-risk areas. WhatsApp can also be contacted by friends and acquaintances using voice and video calls, which can probably reduce the psychological pressure of the quarantine and isolation to some extent.</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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              <elementText elementTextId="53865">
                <text>2020</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="53866">
                <text>coronavirus, covid-19, social media, mobile applications</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="53867">
                <text>10.30476/jhsss.2020.87202.1107</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="53868">
                <text>Journal of Health Sciences and Surveillance System</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="53869">
                <text>Shiraz University of Medical Sciences</text>
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          </element>
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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>
            <elementTextContainer>
              <elementText elementTextId="53870">
                <text>Public aspects of medicine</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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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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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="53871">
                <text>Los que no pueden quedarse en casa: movilidad urbana y vulnerabilidad territorial en el área metropolitana de Barcelona durante la pandemia COVID-19</text>
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="53872">
                <text>Joan Checa, Jordi Martín, Joan  López, Oriol Nel·lo</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>El artículo analiza el comportamiento diferenciado de la población con respecto a la movilidad cotidiana en una situación altamente excepcional: la crisis sanitaria y social provocada por la pandemia de la COVID-19. La investigación, centrada en el área metropolitana de Barcelona, se basa en el análisis de las validaciones de los títulos de transporte en días laborables para acceder a los modos de transporte ferroviario (metro, ferrocarril suburbano y tranvía), en relación con la renta media del territorio donde se produce cada uno de los accesos al sistema. La investigación parte de la hipótesis según la cual la capacidad de cada persona de gestionar su movilidad en la ciudad se relaciona directamente con los recursos económicos y el capital social del que dispone, es decir, de su mayor o menor vulnerabilidad. La evidencia aportada permite confirmar que las personas residentes en entornos más vulnerables han podido reducir menos y más lentamente su movilidad que el resto de la población. Se muestra así cómo, en un contexto en el cual baja movilidad pasa a ser un recurso preciado a la hora de proteger la propia salud y bienestar, la incapacidad de reducir los desplazamientos deviene causa y expresión de la exclusión social.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="53874">
                <text>2020</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="53875">
                <text>epidemias, movilidad, segregación urbana</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="53876">
                <text>Boletín de la Asociación de Geógrafos Españoles</text>
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            </elementTextContainer>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="53877">
                <text>Asociación Española de Geografía</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="53878">
                <text>Environmental sciences, Geography (General)</text>
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        <src>https://www.socictopen.socict.org/files/original/264d0a21f79c9536ac954174abed8819.pdf</src>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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              <name>Description</name>
              <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>COVID-19 Mortality and Case-Fatality Rates in Sergipe State, Northeast Brazil, From April to June 2020</text>
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                <text>Natália Martins, Natália Martins, Natália Martins, Paulo R. Martins-Filho, Paulo R. Martins-Filho, Adriano A. S. Araújo, Marco A. O. Góes, Mércia S. F. de Souza, Mércia S. F. de Souza, Lucindo J. Quintans-Júnior, Victor S. Santos, Victor S. Santos</text>
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                <text>Information on how coronavirus disease 2019 (COVID-19) mortality is related to population characteristics in low- and middle-income countries is still limited. We described the deaths from COVID-19 in Sergipe state, Northeast Brazil, from April 2 to June 27, 2020. For this purpose, we conducted a study composed of (i) a case series study of all deaths due to COVID-19 and (ii) a population-based study to verify the behavior of the mortality and case-fatality rates (CFR) related to COVID-19. Data from 605 deaths due to COVID-19 were used to describe the characteristics of individuals with the disease, as well as the differences in gender, age, and comorbidities. Additionally, population data were extracted to estimate the mortality and CFR by population stratum. We also performed an adjusted CFR analysis including a time lag of 14 days between the onset of symptoms and reporting deaths. Of the 605 patients included in this study, 321 (53.1%) were males and the median age was 67.0 years. Most patients (n = 447, 73.9%) who died from COVID-19 had at least one pre-existing clinical condition. The mortality rate was 29.3 deaths per 100,000 inhabitants and the crude CRF was 2.6% (95% CI 2.4–2.8). CFR was higher in males (3.1%, 95% CI 2.8–3.4; p &amp;lt; 0.001) and people aged ≥60 years (14.2%, 95% CI 13.0–15.6; p = 0.042). About 25% of patients died during the first 24-h post-hospital admission. The adjusted CFR for a 14-day time lag was ~2-fold higher than the crude CFR over the study period.</text>
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                <text>2021</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>coronavirus, mortality, covid-19, Brazil, SARS-CoV-2</text>
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              <elementText elementTextId="53884">
                <text>10.3389/fpubh.2021.581618</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="53885">
                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
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              <elementText elementTextId="53886">
                <text>Korean Society of Epidemiology</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>Public aspects of medicine</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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                <text>Overcoming resistance to COVID-19 vaccine adoption: How affective dispositions shape views of science and medicine</text>
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                <text>John E. Newhagen, Erik P. Bucy</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Health experts worry that a COVID-19 vaccine boycott could inhibit reaching “herd immunity,” and their concerns have only grown as the pandemic has spread. Concern has largely focused on anti-vaccine protestors, who captured headlines as they stood side by side with Tea Party activists and armed militia groups demonstrating against the quarantine in April and May of this year. But anti-vax extremists make up only about a third of respondents in surveys who said they would not vaccinate. Health officials must also take into account a swelling group who may understand the importance of a vaccine but are hesitant and confused because they feel the vaccine’s development is being rushed and may not be safe or effective. The challenge for the public health community is complex; it has to fashion messages to a set of disparate groups, each employing a unique set of biases when processing information about the efficacy of getting a vaccination.</text>
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          <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="53891">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="53892">
                <text>vaccines, covid-19, Conspiracy theories, Psychology, partisan issues</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="53893">
                <text>10.37016/mr-2020-44</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="53894">
                <text>Epidemiology and Health</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="53895">
                <text>Korean Society of Epidemiology</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="53896">
                <text>Communication. Mass media, Information technology</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
</itemContainer>
