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                <text>A relevância da família como unidade de análise nos estudos sobre pluriatividade</text>
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                <text>Lauro Mattei</text>
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                <text>O fenômeno da pluriatividade passou a ser mais estudado no Brasil na década de 1990, quando foram publicados trabalhos em todas as regiões do país. Um dos elementos centrais desta discussão diz respeito à unidade de análise relevante para se analisar a complexidade desse fenômeno. Em consonância com a literatura internacional, este artigo defende a idéia de que a família, e não a unidade de produção, deve ser o elemento balizador de estudos sobre a pluriatividade na agricultura familiar brasileira.The pluriactivity phenomenon has been more studied in Brazil in the 1990’s, when increased the papers about it in many regions of the country. The main issue related with the pluriactivity theme is the relevant unit of analyses. In according to the international literature, this article defends the idea that the family, and not the production unit, should be the north of the studies of pluriactivity in the Brazilian family farming.</text>
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                <text>Abstract Notwithstanding COVID-19, non-communicable diseases (NCDs) will be the leading cause of death in every region in the world by 2030. This contribution, which forms an introduction to our collection of articles in this journal, identifies elements for a transdisciplinary research agenda between law, public health, health economics and international relations aimed at designing concrete interventions to curb the NCD pandemic, both globally and domestically.</text>
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                <text>capitalismo, ecología, marxismo</text>
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                <text>Introdução: Representar tematicamente um recurso informacional torna-se condição necessária à sua recuperação. Objetivo: Assim sendo, buscou-se identificar como estão representados os cibercordéis que abordam à Covid-19. Metodologia: Fundamentado em pressupostos da Ciência da Informação e da Teoria dos Campos Lexicais o estudo analisou três cibercordéis do site Recanto das Letras cujos títulos mencionavam o vírus e a doença. Resultados: As palavras utilizadas nas obras informam a respeito das características dessa pandemia, além de descreverem os procedimentos necessários para evitar o contágio por parte da população. O emprego de expressões que reforçam a necessidade de se seguir as orientações da Organização Mundial da Saúde, foram recorrentes nos folhetos investigados. Conclusões: Ainda que não tenha esgotado o assunto, as análises efetuadas indicam que os enfoques dados aos folhetos, corroboram as instruções dadas por instituições da saúde, pautadas em estudos científicos. Nesse sentido, por intermédio de sua representação temática, tornou-se possível ressaltar o cibercordel como importante veículo de divulgação da informação, de forma atual e adequada ao entendimento da população nacional.</text>
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                <text>crédito rural</text>
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                <text>Revista Agropecuária Catarinense</text>
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                <text>Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina - Epagri</text>
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                <text>&lt;a href="https://publicacoes.epagri.sc.gov.br/RAC/article/view/1328" target="_blank" rel="noreferrer noopener"&gt;https://publicacoes.epagri.sc.gov.br/RAC/article/view/1328&lt;/a&gt;</text>
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                <text>Journal of the American Academy of Dermatology</text>
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                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
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                <text>A Retrospective Analysis of the Clinical and Epidemiological Characteristics of COVID-19 Patients in Henan Provincial People's Hospital, Zhengzhou, China</text>
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                <text>Jing Zhao, Ziyi Feng, Qijun Wu, Haoyu Gao</text>
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                <text>Objective: This study evaluated the clinical and epidemiological characteristics of patients with confirmed coronavirus disease 2019 (COVID-19).Methods: This retrospective study evaluated 29 patients with confirmed COVID-19 infection admitted to Henan Provincial People's Hospital between January 27 and February 27, 2020, with follow-up until April 01, 2020.Results: The median age of the patients was 56 years. Nineteen (19/29; 65.5%) had underlying conditions including cardiovascular disease, digestive disease, or type 2 diabetes mellitus. Twenty-two (22/29; 76%) had close contact with acquaintances or family members who were confirmed or probable COVID-19 cases. Many patients had white blood cell counts with abnormal neutrophil and lymphocyte numbers, abnormal hemoglobin concentration, coagulation profiles, and blood biochemistry, and increased infection markers. Mottling and multiple ground-glass opacities were seen in X-ray images of 19 patients (19/29; 65.5%). Most patients (23/29; 79.8%) received supplemental oxygen therapy and antibiotics (23/29; 79.8%) in addition to traditional Chinese medicines (26/29; 89.7%). The most frequent presenting symptoms were fever, cough, and sputum production. One patient, an 86-years-old woman with more than one underlying disease, died during follow-up. Patients with severe disease were significantly older and more likely to have been transferred from other healthcare facilities than those with mild disease. Anemia, decreased activated partial thromboplastin time, calcium, and albumin, and increased D-dimer and interleukin-6 were more frequent in severe disease. Need of oxygen therapy, mechanical ventilation, intravascular immunoglobulin, and duration of antibiotic therapy were increased in those with severe disease.Conclusions: Significant differences in demographical and clinical characteristics were observed in patients with moderate and severe COVID-19.</text>
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                <text>Epidemiology, traditional Chinese medicine, clinical characteristics, SARS-CoV-2, corona virus disease 2019</text>
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              <elementText elementTextId="34616">
                <text>DOI: 10.3389/fmed.2020.00286</text>
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              <elementText elementTextId="34617">
                <text>Frontiers in Medicine</text>
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              <elementText elementTextId="34618">
                <text>Frontiers Media S.A.</text>
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                <text>Medicine (General)</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>A Retrospective Analysis of the COVID-19 Pandemic Evolution in Italy</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="78873">
                <text>Anna Fochesato, Giulia Simoni, Federico Reali, Giulia Giordano, Enrico Domenici, Luca Marchetti</text>
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                <text>Late 2019 saw the outbreak of COVID-19, a respiratory disease caused by the new coronavirus SARS-CoV-2, which rapidly turned into a pandemic, killing more than 2.77 million people and infecting more than 126 million as of late March 2021. Daily collected data on infection cases and hospitalizations informed decision makers on the ongoing pandemic emergency, enabling the design of diversified countermeasures, from behavioral policies to full lockdowns, to curb the virus spread. In this context, mechanistic models could represent valuable tools to optimize the timing and stringency of interventions, and to reveal non-trivial properties of the pandemic dynamics that could improve the design of suitable guidelines for future epidemics. We performed a retrospective analysis of the Italian epidemic evolution up to mid-December 2020 to gain insight into the main characteristics of the original strain of SARS-CoV-2, prior to the emergence of new mutations and the vaccination campaign. We defined a time-varying optimization procedure to calibrate a refined version of the SIDARTHE (Susceptible, Infected, Diagnosed, Ailing, Recognized, Threatened, Healed, Extinct) model and hence accurately reconstruct the epidemic trajectory. We then derived additional features of the COVID-19 pandemic in Italy not directly retrievable from reported data, such as the estimate of the day zero of infection in late November 2019 and the estimate of the spread of undetected infection. The present analysis contributes to a better understanding of the past pandemic waves, confirming the importance of epidemiological modeling to support an informed policy design against epidemics to come.</text>
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                <text>2021</text>
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                <text>covid-19, Health policy, disease prevention, retrospective analysis, Computational models, SIDARTHE model</text>
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                <text>10.3390/biology10040311</text>
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                <text>Epidemiology and Health</text>
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              <elementText elementTextId="78879">
                <text>Korean Society of Epidemiology</text>
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                <text>Biology (General)</text>
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                <text>A retrospective descriptive study characterizing coronavirus disease epidemiology among people in the Kurdistan Region, Iraq</text>
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                <text>Nawfal R  Hussein, Ibrahim A Naqid, Zana Sidiq M.  Saleem</text>
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                <text>Abstract  On March 1, 2020, the first case of severe acute respiratory syndrome coronavirus 2 infection (SARS-CoV-2) infection was diagnosed in the Kurdistan Region of Northern Iraq. The highest number of infections was recorded in Erbil city (233 cases) and Sulaymaniyah (178 cases). Among diagnosed patients, 20% had symptoms. The most common symptoms were fever (9.5%), dry cough (12%), and shortness of breath (6.5%). There was a sharp marked increase in the number of cases after relaxing of the control measures on May 1. The case fatality rate was 1.1% (5/452). Case fatality was significantly associated with advanced age (p=0.001) but not sex (p=0.68). Overall, 385/452 patients (85.2%) recovered without complications. Most patients were asymptomatic. The case fatality rate was low but increased with age. Further research is needed to determine the high recovery and low case fatality rates relative to those reported in other countries.   </text>
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                <text>epidemiology, coronavirus disease, Iraq, Descriptive study, Kurdistan Region</text>
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                <text>10.4084/mjhid.2020.061</text>
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                <text>Korean Society of Epidemiology</text>
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                <text>Diseases of the blood and blood-forming organs</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>A Retrospective Study Assessing the Effect of Diabetes on Mortality in Patients With COVID-19 at a Teaching Hospital in the United Kingdom.</text>
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            <name>Creator</name>
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              <elementText elementTextId="56951">
                <text>Fahad W Ahmed, Omar Z Kirresh, Alyss V Robinson, M S Majeed, Dominique Rouse, Rumaisa Banatwalla, Sathish Parthasarathy, Catherine Sargent, Clare Castledine, Ali J Chakera</text>
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            <name>Description</name>
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              <elementText elementTextId="56952">
                <text>Aim The aim of the study was to compare the clinical characteristics and outcomes (mortality, intensive care admission, mechanical ventilation, and length of stay, LoS) of patients with and without diabetes with confirmed COVID-19.  Methods This retrospective study evaluated clinical and laboratory variables in adult inpatients from Brighton and Sussex University Hospitals NHS Trust with laboratory-confirmed COVID-19 between March 10, 2020, and June 30, 2020. Univariate and multivariate analyses were performed to compare the outcomes of patients with and without diabetes.  Results Over 457 patients were included in this study (140 with diabetes and 317 without diabetes), of which 143 (31.9%) died. The median age was 80 years and were predominantly males (59.1%). Baseline characteristics at the time of COVID-19 diagnosis demonstrated that the patients with diabetes were younger than those without diabetes (p=0.008). Mortality increased with age. There was no difference in adverse outcomes in those with and without diabetes. However, subgroup analysis of patients aged ≤60 years demonstrated a significantly increased mortality in those with diabetes (p=0.016). Patients with diabetes had an increased length-of-stay compared to those without diabetes, which was more evident in those aged ≤60 years. Conclusion Age is the most important predictor of mortality. Patients with diabetes did not have increased mortality from COVID-19, which is likely due to their younger age in our cohort. More patients with diabetes stayed in the hospital longer than seven days than those without diabetes.</text>
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            <name>Date</name>
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                <text>2021</text>
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          <element elementId="49">
            <name>Subject</name>
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                <text>mortality, covid-19, Diabetes mellitus, Coronavirus disease 2019, United Kingdom</text>
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            <name>Identifier</name>
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              <elementText elementTextId="56955">
                <text>10.7759/cureus.13902</text>
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            <name>Source</name>
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              <elementText elementTextId="56956">
                <text>Cureus</text>
              </elementText>
            </elementTextContainer>
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