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                  <text>Dominio científico: Coronavirus</text>
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                <text>Infectious disease-related laws: prevention and control measures</text>
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                <text>Mi-Jeong Park</text>
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                <text>OBJECTIVES This study examines recently revised Korean government legislation addressing global infectious disease control for public health emergency situations, with the aim of proposing more rational, effective and realistic interpretations and applications for improvement of law. METHODS The Korea reported its first laboratory-confirmed case of Middle East Respiratory Syndrome (MERS) coronavirus on May 20, 2015. Since the first indexed case, Korean public health authorities enforced many public health measures that were not authorized in the law; the scope of the current law was too limited to cover MERS. Korea has three levels of government: the central government, special self-governing provinces, and si/gun/gu. Unfortunately, the Infectious Disease Control and Prevention Act does not designate the specific roles of each level of government, and does not state how these governmental branches should be vertically integrated in a state of emergency. RESULTS When thinking about these policy questions, we should be especially concerned about introducing a new act that deals with all matters relevant to emerging infectious diseases. The aim would be to develop a structure that specifies the roles of each level of government, and facilitates the close collaboration among them, then enacting this in law for the prevention and response of infectious disease. CONCLUSIONS To address this problem, after analyzing the national healthcare infrastructure along with the characteristics of emerging infectious diseases, we propose the revision of the relevant law(s) in terms of governance aspects, emergency medical countermeasure aspects, and the human rights aspect.</text>
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                <text>Infectious disease prevention and control, Middle East respiratory syndrome, Epidemiology, Human Rights, Governance</text>
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                <text>DOI: 10.4178/epih.e2017033</text>
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                <text>Korean Society of Epidemiology</text>
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                <text>Infectious Diseases, Urbanization and Climate Change: Challenges in Future China</text>
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                <text>Michael Xiaoliang Tong, Alana Hansen, Scott Hanson-Easey, Scott Cameron, Jianjun Xiang, Qiyong Liu, Yehuan Sun, Philip Weinstein, Gil-Soo Han, Craig Williams, Peng Bi</text>
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                <text>China is one of the largest countries in the world with nearly 20% of the world’s population. There have been significant improvements in economy, education and technology over the last three decades. Due to substantial investments from all levels of government, the public health system in China has been improved since the 2003 severe acute respiratory syndrome (SARS) outbreak. However, infectious diseases still remain a major population health issue and this may be exacerbated by rapid urbanization and unprecedented impacts of climate change. This commentary aims to explore China’s current capacity to manage infectious diseases which impair population health. It discusses the existing disease surveillance system and underscores the critical importance of strengthening the system. It also explores how the growing migrant population, dramatic changes in the natural landscape following rapid urbanization, and changing climatic conditions can contribute to the emergence and re-emergence of infectious disease. Continuing research on infectious diseases, urbanization and climate change may inform the country’s capacity to deal with emerging and re-emerging infectious diseases in the future.</text>
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                <text>climate change, urbanization, infectious disease, disease surveillance, Challenges, disease control and prevention</text>
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                <text>DOI: 10.3390/ijerph120911025</text>
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                <text>International Journal of Environmental Research and Public Health</text>
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                <text>Medicine</text>
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                  <text>Agricultura sostenible</text>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Agricultura sostenible</text>
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                <text>Inferencia multimodelo en ciencias sociales y ambientales</text>
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                <text>Lucas A. Garibaldi, Francisco J. Aristimuño, Facundo J. Oddi, Florencia Tiribelli</text>
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                <text>Los profesionales de las ciencias sociales y ambientales debemos resolver problemas (contestar preguntas) a partir de la recolección y el análisis de datos. Habitualmente, todos enfrentamos dificultades similares, queremos tomar decisiones sobre una población (por ejemplo, todos los árboles de una región) pero sólo contamos con información de una muestra (algunos árboles de esa región). Una herramienta fundamental en este proceso es plantear modelos de la población sobre la variable de interés (crecimiento los árboles en función de la edad y las condiciones climáticas), para luego utilizar sus predicciones en la toma de decisiones (turnos de corta de acuerdo a las condiciones climáticas). En esta ayuda didáctica discutimos cómo plantear, estimar y seleccionar modelos de una población a partir de los datos de una muestra. Ponemos especial énfasis en proponer varios modelos (hipótesis) alternativos ante un mismo problema (por ejemplo, distintas funciones del crecimiento arbóreo con la edad), los cuáles son planteados antes de recolectar los datos, incluyendo un modelo nulo (el crecimiento arbóreo no depende de la edad ni del clima). Los modelos nos indican cómo deben ser recolectados los datos para un contraste válido (por ejemplo, mediciones del crecimiento en árboles de edad distinta y en sitios con clima contrastante). Luego, el criterio de información de Akaike (AIC) permite ordenar los modelos según su parsimonia, seleccionado aquellos con mejor ajuste a los datos (verosimilitud) y con menor número de parámetros (complejidad). A lo largo del texto, introducimos las nociones básicas sobre la inferencia multimodelo y discutimos los errores más comunes en su uso. Proveemos ejemplos reales, haciendo disponibles los datos y los códigos de ejecución en el programa R, de acceso gratuito. Además de ser útil para los profesionales, esperamos que esta ayuda didáctica promueva la enseñanza de la inferencia multimodelo en los cursos de grado.</text>
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                <text>AIC, Akaike, ajuste, hipótesis, inferencia, modelo, parsimonia, predicción, valor p, verosimilitud</text>
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            <name>Identifier</name>
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                <text>10.25260/EA.17.27.3.0.513</text>
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                <text>Ecología Austral</text>
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                <text>Asociación Argentina de Ecología</text>
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                <text>Environmental sciences, Ecology</text>
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                <text>&lt;a href="http://ojs.ecologiaaustral.com.ar/index.php/Ecologia_Austral/article/view/513" target="_blank" rel="noreferrer noopener"&gt;http://ojs.ecologiaaustral.com.ar/index.php/Ecologia_Austral/article/view/513&lt;/a&gt;</text>
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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>Inferior Education or Killing Grandma: The Dilemma Facing the Public School Systems in the United States</text>
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                <text>Lawrence Bodin, Barry Frieman</text>
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                <text>Due to COVID-19, school districts in the fall of 2020 had to decide whether to conduct all classes in person or offer some or all of these classes virtually. Many school districts would decide on a program and then change their decision based on the COVID-19 situation in their area. These changes caused education and personal issues for the students, teachers, parents, and others who worked in their school system. This paper explores how the Analytic Hierarchy Process (AHP), a well-regarded, multi-criteria decision analysis approach, can be used to analyze this situation by developing two prototype versions of the AHP and illustrating these versions of the AHP with a detailed example. The team approach for analyzing this issue is also described. Additionally, the current situation of this problem in the United States and elsewhere is discussed. Finally, Professor Bodin is making software that he has developed available (at no cost) for carrying out many of the computations for the AHP versions described in this paper.</text>
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                <text>2021</text>
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                <text>Analytic Hierarchy Process (AHP), pairwise comparisons, Ratings Model (RM), Direct Comparison Model (DCM), AHP team approach</text>
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                <text>10.3390/urbansci5010029</text>
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                <text>Epidemiology and Health</text>
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                <text>Geography. Anthropology. Recreation, Social Sciences</text>
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                <text>Suman Puri, Gagandeep Kaur</text>
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                <text>The Coronavirus pandemic has had a great impact on various health sectors including pregnancy and infertility treatments like in vitro fertilization (IVF), in utero insemination (IUI), ovulation-induction, laparoscopy, hysteroscopy, and assisted reproductive techniques (ART). Due to the current situation in the COVID-19 pandemic and the relaxation permitted by the government, allowing nonessential services in a gradual manner, infertility services are being resumed according to the guidelines set by the ministry of health and family welfare. To meet the demands of current situation, the patient and the staff should be triaged. Only those patients should be undertaken who are tested or screened negative. Diagnostic evaluation is done using RT-PCR and the testing should be done at the commencement of treatment, that is, on day 2 of IVF/intracytoplasmic sperm injection (ICSI) cycle. Repeat test is done before the hCG trigger. The husband also needs testing at least once during the cycle, preferably at the start of the cycle. If the donor tests positive for COVID-19, the cycle should be cancelled. Universal good practices should be followed in laboratory also by each staff, which includes use of proper personal protective equipment (PPE) like eye protectors, FFP-2 or N-95 face masks, double gloves, shoe covers, disposable impermeable gowns, and face shields. The sanitization of the laboratory environment, equipment and devices should be done with appropriate nonembryotoxic disinfectants at the end of each procedure. COVID-19 has actually changed the way infertility treatment is being provided, keeping in view the safety of both the doctors and the patient.</text>
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                <text>Infestação de percevejo em ligustro</text>
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                <text>José Maria  Milanez, Luis Antônio  Chiaradia, Elmar José  Hentz</text>
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                <text>O ligustro – Ligustrum lucidum Ait. (Oleaceae) – é uma essência florestal exótica de origem chinesa bastante utilizada como planta ornamental em áreas urbanas de cidades da Região Sul do Brasil. Diversos percevejos pertencentes à família Pentatomidae, insetos vulgarmente conhecidos pelos nomes de “fede-fede” ou “maria-fedida”, pelo fato de liberarem odores desagradáveis ao serem molestados, são encontrados se alimentando nesta planta (1). No final do outono de 2002 foi constatada elevada infestação de ninfas e adultos do percevejo Dinocoris gibbus (Dallas) (Hemiptera, Pentatomidae) (Figura 1) em plantas de ligustro existentes na sede do município de São José do Cedro, SC.</text>
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                <text>Dinocoris, Ligustrum</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>Agriculture (General)</text>
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                <text>&lt;a href="https://publicacoes.epagri.sc.gov.br/RAC/article/view/1225" target="_blank" rel="noreferrer noopener"&gt;https://publicacoes.epagri.sc.gov.br/RAC/article/view/1225&lt;/a&gt;</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Agricultura sostenible</text>
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                  <text>Dominio científico: Agricultura sostenible</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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                <text>Infestação de Tetranychus ogmophallos em plantas de amendoim: primeiro registro em Santa Catarina</text>
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                <text>Luís Antonio Chiaradia, Volmir Pinto  de Oliveira</text>
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                <text>O ácaro Tetranychus ogmophallos Ferreira &amp; Flechtmann (Acari: Tetranychidae) infestou e causou danos em uma plantação de amendoim, Arachis hypogaea L. (Fabaceae), situada no município de São Lourenço do Oeste (26o21’24’’latitude sul, 52o50’54’’ longitude oeste e 880m de altitude). A produtividade do amendoim foi reduzida porque esse ácaro causou bronzeamento e queda prematura de folhas e produziu densa teia sobre as plantas. Este se constitui no primeiro registro de T. ogmophallos no Estado de Santa Catarina.</text>
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                <text>Arachis hypogaea, Praga, Tetranychidae, ácaro</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>Agriculture (General)</text>
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                <text>&lt;a href="https://publicacoes.epagri.sc.gov.br/RAC/article/view/836" target="_blank" rel="noreferrer noopener"&gt;https://publicacoes.epagri.sc.gov.br/RAC/article/view/836&lt;/a&gt;</text>
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        <src>https://www.socictopen.socict.org/files/original/fb2d06e30b06112493acf5152ad380ad.pdf</src>
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              <name>Title</name>
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                  <text>Agricultura sostenible</text>
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                  <text>Dominio científico: Agricultura sostenible</text>
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                <text>Infestation maps and spatial stability of main weed species in maize culture</text>
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                <text>I.M. Calha, E. Sousa, J.L. González-Andújar</text>
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                <text>A study on the spatial distribution of the major weeds in maize was carried out in 2007 and 2008 in a field located in Golegã (Ribatejo region, Portugal). The geo-referenced sampling focused on 150 points of a 10 x 10 m mesh covering an area of 1.5 ha, before herbicide application and before harvest. In the first year, 40 species (21 botanical families) were identified at seedling stage and only 22 during the last observation. The difference in species richness can be attributed to maize monoculture favouring reduction in species number. Three of the most representative species were selected for the spatial distribution analysis: Solanum nigrum, Chenopodium album and Echinochloa crus-galli. The three species showed an aggregated spatial pattern and spatial stability over both years, although the herbicide effect is evident in the distribution of some of them in the space. These results could be taken into account when planning site-specific treatments in maize.</text>
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                <text>2014</text>
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            <name>Subject</name>
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                <text>Chenopodium album, Echinochloa crus-galli, Solanum nigrum, geostatistics, kriging, precision agriculture</text>
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                <text>10.1590/S0100-83582014000200004</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="214538">
                <text>Planta Daninha</text>
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            <name>Publisher</name>
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              <elementText elementTextId="214539">
                <text>Sociedade Brasileira da Ciência das Plantas Daninhas</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>Biology (General), Botany</text>
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            <name>Relation</name>
            <description>A related resource</description>
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              <elementText elementTextId="214541">
                <text>&lt;a href="http://www.scielo.br/pdf/pd/v32n2/v32n2a04.pdf" target="_blank" rel="noreferrer noopener"&gt;http://www.scielo.br/pdf/pd/v32n2/v32n2a04.pdf&lt;/a&gt;</text>
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