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                  <text>Agricultura sostenible</text>
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                <text>Una especie nueva ovo ‒ imitadora en Passiflora (Passifloraceae) de la Provincia Huancabamba, Piura, Perú</text>
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                <text>Passiflora santos-llatasii es descrita e ilustrada como una nueva especie en Passiflora subgénero Decaloba (Passifloraceae). Es endémica de los bosques montanos de neblina occidentales de la provincia de Huancabamba, departamento de Piura, en el noroeste del Perú. Esta especie es similar a P. pardifolia del Brasil pero se diferencian principalmente en el color de las hojas, tamaño de brácteas, corona floral tanto en color como el número de series, forma del fruto, y la distribución de sus poblaciones silvestres. Se añaden datos adicionales sobre su etimología, ecología, distribución, conservación y se discute su parentesco con otras especies afines.</text>
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                <text>Passiflora, Passifloraceae, Peru, passiflora subgénero decaloba, porcuya</text>
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                <text>Revista Peruana de Biología</text>
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                <text>Universidad Nacional Mayor de San Marcos</text>
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                <text>&lt;a href="https://revistasinvestigacion.unmsm.edu.pe/index.php/rpb/article/view/15892" target="_blank" rel="noreferrer noopener"&gt;https://revistasinvestigacion.unmsm.edu.pe/index.php/rpb/article/view/15892&lt;/a&gt;</text>
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                <text>Boris Revollo, Cristian Tebe, Judith Peñafiel, Ignacio Blanco, Nuria Perez-Alvarez, Ruth Lopez, Laura Rodriguez, Josep Ferrer, Pilar Ricart, Enrique Moret, Cristina Tural, Anna Carreres, Joan Matllo, Sebastià Videla, Bonaventura Clotet, Josep M Llibre</text>
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                <text>The Journal of antimicrobial chemotherapy</text>
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                <text>New York FED Staff Nowcasts and Reality: What Can We Learn about the Future, the Present, and The Past? &lt;sup&gt;§&lt;/sup&gt;</text>
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                <text>We assess the forecasting performance of the nowcasting model developed at the New York FED. We show that the observation regarding a striking difference in the model’s predictive ability across business cycle phases made earlier in the literature also applies here. During expansions, the nowcasting model forecasts at best are at least as good as the historical mean model, whereas during the recessionary periods, there are very substantial gains corresponding in the reduction in MSFE of about 90% relative to the benchmark model. We show how the asymmetry in the relative forecasting performance can be verified by the use of such recursive measures of relative forecast accuracy as Cumulated Sum of Squared Forecast Error Difference (CSSFED) and Recursive Relative Mean Squared Forecast Error (based on Rearranged observations) (R2MSFE(+R)). Ignoring these asymmetries results in a biased judgement of the relative forecasting performance of the competing models over a sample as a whole, as well as during economic expansions, when the forecasting accuracy of a more sophisticated model relative to naive benchmark models tends to be overstated. Hence, care needs to be exercised when ranking several models by their forecasting performance without taking into consideration various states of the economy.</text>
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                <text>covid-19, real-time data, US GDP, nowcasts</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>Economics as a science</text>
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                <text>[Spanish consensus document on diagnosis, stabilisation and treatment of pediatric multisystem inflammatory syndrome related to SARS-CoV-2 (SIM-PedS)].</text>
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                <text>Borja Gómez Cortés, Jordi Antón, José David Martínez-Pajares, Alfredo Tagarro, Sylvia Belda Hofheinz, Inmaculada Calvo Penadés, Juan Carlos de Carlos Vicente, Carlos Daniel Grasa Lozano, Susanna Hernández Bou, Rosa M. Pino Ramírez, Esmeralda Núñez Cuadros, Javier Pérez-Lescure Picarzo, Jesús Saavedra Lozano, Diana Salas-Mera, Enrique Villalobos Pinto, Alberto García-Salido, Gemma Giralt Garcia</text>
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            <description>An account of the resource</description>
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                <text>A new paediatric multisystem inflammatory syndrome, linked to SARS-CoV-2, has been described. The clinical picture is variable and is associated with an active or recent infection due to SARS-CoV-2. A review of the existing literature by a multidisciplinary group of paediatric specialists is presented in this document. Later, they make recommendations on the stabilisation, diagnosis, and treatment of this syndrome.</text>
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                <text>2021</text>
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                <text>SARS-CoV-2, Multisystem inflammatory syndrome, Pediatria, paediatrics, síndrome inflamatorio multisistémico</text>
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                <text>10.1016/j.anpedi.2020.09.005</text>
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                <text>Anales de pediatria</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Identifying Facemask-Wearing Condition Using Image Super-Resolution with Classification Network to Prevent COVID-19</text>
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                <text>Bosheng Qin, Dongxiao Li</text>
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                <text>The rapid worldwide spread of Coronavirus Disease 2019 (COVID-19) has resulted in a global pandemic. Correct facemask wearing is valuable for infectious disease control, but the effectiveness of facemasks has been diminished, mostly due to improper wearing. However, there have not been any published reports on the automatic identification of facemask-wearing conditions. In this study, we develop a new facemask-wearing condition identification method by combining image super-resolution and classification networks (SRCNet), which quantifies a three-category classification problem based on unconstrained 2D facial images. The proposed algorithm contains four main steps: Image pre-processing, facial detection and cropping, image super-resolution, and facemask-wearing condition identification. Our method was trained and evaluated on the public dataset Medical Masks Dataset containing 3835 images with 671 images of no facemask-wearing, 134 images of incorrect facemask-wearing, and 3030 images of correct facemask-wearing. Finally, the proposed SRCNet achieved 98.70% accuracy and outperformed traditional end-to-end image classification methods using deep learning without image super-resolution by over 1.5% in kappa. Our findings indicate that the proposed SRCNet can achieve high-accuracy identification of facemask-wearing conditions, thus having potential applications in epidemic prevention involving COVID-19.</text>
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                <text>deep learning, convolutional neural network, Facial recognition, image super-resolution, facemask-wearing condition, SRCNet</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Can Human Transmit COVID-19 to Animal?</text>
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                <text>Boujamaa Imziln, Soraia El Baz</text>
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                <text>Coronavirus (COVID-19) has infected more than three million people worldwide and it’s widely believed to have originated in horseshoe bats and passed to humans through other species on sale in a wildlife market in Wuhan. First human transmission to dogs has been detected in Hong Kong; which they have caught the novel coronavirus from owners. Other reported cases of cats in Belgium tested positive with COVID-19. Researchers reveal that cats are not only susceptible to contracting coronavirus but can transmit it on other cats as well. Also, a tiger tested positive for COVID-19 after coming into contact with an asymptomatic caretaker. In this report, we provide all cases registered over the world prompting to take a closer look at the human to pet transmission of the virus and to keep measures to prevent exposure. Also, increased transmission of COVID-19 from human to animal can affect the global health security owing to its ability to rapidly spread due to movement of animals. So, we should reevaluate the probability that this outbreak might also be caused by infected pets’ hosts. Particular attention must be also paid to the distribution and the evolution of the virus in animals to control the COVID-19 pandemic.</text>
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                <text>2020</text>
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                <text>pets, cat, Dog, coronavirus, COVID-19, human-animal transmission</text>
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                <text>DOI: 10.5799/jcei/8262</text>
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                <text>Journal of Clinical and Experimental Investigations</text>
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                <text>Association of Health Investigations</text>
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                <text>Medicine</text>
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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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                <text>Coronavirus Disease 2019 (COVID‐19): Morocco Interrupting the Transmission by Ethics, Logistics, and Therapeutics Efforts</text>
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            <name>Creator</name>
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                <text>Boujamaa Imziln, Soraia El Baz</text>
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            <description>An account of the resource</description>
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                <text>Since the first case of 2019 novel coronavirus (COVID-19) identified on 02 March 2020 in Morocco, the number of cases rapidly increased, resulting in 3046 cases including 143 deaths as of 20 April 2020. Morocco used every possibility (socio-economic and medical) to control and to limit the spread of COVID-19 and support the implementation of social distancing measures to quickly control the outbreak. The percentage of death was 4.7% as of 20 April 2020, and increases with older age. The median age of the deaths was 65 years. Moroccan government noted that 80% of the death had health problems, 15% of positive COVID-19 cases show no symptoms and only 11.5% of patients were recovered. This report examines the impact of the ongoing pandemic of COVID-19 in Morocco. The Moroccan government has considered being more effective in responding to the pandemic. Persistent efforts have been made to limit the transmission of COVID-19, and many strategies to protect people against COVID-19 is running well to keep the spread of coronavirus under control in comparison with other countries in Europe or Africa (especially North Africa). In this report, in contrast, the situation demonstrates the need of rapid and accurate detection and identification methods that can be used in hospitals bearing the burden of identifying and treating patients. Also, this paper demonstrate that the different measures adapted by Morocco can be a good example for other developing countries and used to fight COVID-19 before it reaches the poorest countries of the world.</text>
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                <text>2020</text>
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                <text>chloroquine, coronavirus, Morocco, containment, social distancing, COVID-19</text>
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              <elementText elementTextId="34598">
                <text>DOI: 10.5799/jcei/8214</text>
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            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="34599">
                <text>Journal of Clinical and Experimental Investigations</text>
              </elementText>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="34600">
                <text>Association of Health Investigations</text>
              </elementText>
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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="34601">
                <text>Medicine</text>
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            <element elementId="50">
              <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>
      <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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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="9872">
                <text>Descriptive review of geographic mapping of severe acute respiratory syndrome (SARS) on the Internet</text>
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              <elementText elementTextId="9873">
                <text>Boulos Maged</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Abstract From geographic mapping at different scales to location-based alerting services, geoinformatics plays an important role in the study and control of global outbreaks like severe acute respiratory syndrome (SARS). This paper reviews several geographic mapping efforts of SARS on the Internet that employ a variety of techniques like choropleth rendering, graduated circles, graduated pie charts, buffering, overlay analysis and animation. The aim of these mapping services is to educate the public (especially travellers to potentially at-risk areas) and assist public health authorities in analysing the spatial and temporal trends and patterns of SARS and in assessing/revising current control measures.</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="9875">
                <text>2004</text>
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            <name>Identifier</name>
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                <text>DOI: </text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="9877">
                <text>International Journal of Health Geographics</text>
              </elementText>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="9878">
                <text>BMC</text>
              </elementText>
            </elementTextContainer>
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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="9879">
                <text>Computer applications to medicine. Medical informatics</text>
              </elementText>
            </elementTextContainer>
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            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="9880">
                <text>EN</text>
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        <src>https://www.socictopen.socict.org/files/original/14ff6a2dcf872d2b837541d9953173aa.pdf</src>
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          <name>Dublin Core</name>
          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
                </elementText>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
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    <itemType itemTypeId="1">
      <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>
    </itemType>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="72084">
                <text>Comparing Public Perceptions and Preventive Behaviors During the Early Phase of the COVID-19 Pandemic in Hong Kong and the United Kingdom: Cross-sectional Survey Study</text>
              </elementText>
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              <elementText elementTextId="72085">
                <text>Bowman, Leigh, Kwok, Kin On, Redd, Rozlyn, Yi, Yuanyuan, Ward, Helen, Wei, Wan In, Atchison, Christina, Wong, Samuel Yeung-Shan</text>
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            <description>An account of the resource</description>
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                <text>BackgroundGiven the public health responses to previous respiratory disease pandemics, and in the absence of treatments and vaccines, the mitigation of the COVID-19 pandemic relies on population engagement in nonpharmaceutical interventions. This engagement is largely driven by risk perception, anxiety levels, and knowledge, as well as by historical exposure to disease outbreaks, government responses, and cultural factors.             ObjectiveThe aim of this study is to compare psychobehavioral responses in Hong Kong and the United Kingdom during the early phase of the COVID-19 pandemic.             MethodsComparable cross-sectional surveys were administered to adults in Hong Kong and the United Kingdom during the early phase of the epidemic in each setting. Explanatory variables included demographics, risk perception, knowledge of COVID-19, anxiety level, and preventive behaviors. Responses were weighted according to census data. Logistic regression models, including effect modification to quantify setting differences, were used to assess the association between the explanatory variables and the adoption of social distancing measures.             ResultsData from 3431 complete responses (Hong Kong, 1663; United Kingdom, 1768) were analyzed. Perceived severity of symptoms differed by setting, with weighted percentages of 96.8% for Hong Kong (1621/1663) and 19.9% for the United Kingdom (366/1768). A large proportion of respondents were abnormally or borderline anxious (Hong Kong: 1077/1603, 60.0%; United Kingdom: 812/1768, 46.5%) and regarded direct contact with infected individuals as the transmission route of COVID-19 (Hong Kong: 94.0%-98.5%; United Kingdom: 69.2%-93.5%; all percentages weighted), with Hong Kong identifying additional routes. Hong Kong reported high levels of adoption of various social distancing measures (Hong Kong: 32.6%-93.7%; United Kingdom: 17.6%-59.0%) and mask-wearing (Hong Kong: 98.8% (1647/1663); United Kingdom: 3.1% (53/1768)). The impact of perceived severity of symptoms and perceived ease of transmission of COVID-19 on the adoption of social distancing measures varied by setting. In Hong Kong, these factors had no impact, whereas in the United Kingdom, those who perceived their symptom severity as “high” were more likely to adopt social distancing (adjusted odds ratios [aORs] 1.58-3.01), and those who perceived transmission as “easy” were prone to adopt both general social distancing (aOR 2.00, 95% CI 1.57-2.55) and contact avoidance (aOR 1.80, 95% CI 1.41-2.30). The impact of anxiety on adopting social distancing did not vary by setting.             ConclusionsOur results suggest that health officials should ascertain baseline levels of risk perception and knowledge in populations, as well as prior sensitization to infectious disease outbreaks, during the development of mitigation strategies. Risk should be communicated through suitable media channels—and trust should be maintained—while early intervention remains the cornerstone of effective outbreak response.</text>
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                <text>2021</text>
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            <name>Identifier</name>
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              <elementText elementTextId="72088">
                <text>10.2196/23231</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="72089">
                <text>Epidemiology and Health</text>
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                <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, Computer applications to medicine. Medical informatics</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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      <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>
            <description>A name given to the resource</description>
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                <text>COVID-19 pandemic in Indonesia: Situation and challenges of rehabilitation medicine in Indonesia</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="86720">
                <text>Boya Nugraha, Luh Karunia Wahyuni, Hening Laswati, Peni Kusumastuti, Angela BM Tulaar, Christoph Gutenbrunner</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Abstrak  COVID-19 telah menjadi pandemik di Indonesia sejak ditemukannya kasus pertama pada tanggal 2 Maret 2020 di Depok. Peningkatan kasus perhari semakin tinggi sejak akhir Agustus 2020 yang mencapai lebih dari 2000 kasus per hari. Sistem kesehatan di Indonesia perlu ditingkatkan dalam hal kapasitas, termasuk rehabilitasi medik yang harus dilibatkan dari fase akut hingga jangka panjang dalam penanganan pasien COVID-19. Rehabilitasi medik juga diperlukan untuk pasien lain yang bukan COVID-19. Pentingnya keterlibatan, pelayanan rehabilitasi medik dan implementasinya dimasa pandemic COVID-19 memerlukan strategi tersendiri yang harus dilakukan baik oleh pekerja kesehatannya, rumah sakit dan kebijakan pemerintah. Hal ini diperlukan untuk percepatan peningkatan kesehatan pasien, percepatan pemulangan dan menghindari readmisi pasien, dan juga pengoptimalan program kembali bekerja untuk pasien yang sembuh dari COVID-19.  COVID-19 has become a pandemic in Indonesia since the first cases have been positively diagnosed on 2 March 2020 in Depok. The cases have been increased gradually since the end of August 2020 that has reached 1000 cases per day. The health system in Indonesia needs to be improved in terms of capacity, including rehabilitation medicine that should be involved in all health phases (from acute to long-term) in managing patients with COVID-19. Rehabilitation is also still needed for other non-COVID-19 patients. The importance of involvement and implementation of rehabilitation services during the COVID-19 pandemic will need special strategies that should be done by rehabilitation professionals, hospitals, and government. These are necessary to accelerate the improvement of patients’ health, discharge, and avoid re-admission, as well as optimize return-to-work for patients who are recovered from COVID-19.</text>
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            <name>Date</name>
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                <text>2020</text>
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          <element elementId="49">
            <name>Subject</name>
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                <text>covid-19, Pandemic, health care, Indonesia, rehabilitation, Rehabilitation services</text>
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            <name>Source</name>
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              <elementText elementTextId="86724">
                <text>Acta Medica Indonesiana</text>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="86725">
                <text>Interna Publishing</text>
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            <name>Coverage</name>
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                <text>Internal medicine</text>
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