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La aplicacion indiscriminada de fertilizantes con NPK, ademas de la aplicacion de enmiendas calcareas, en la mayoria de los suelos del Estado Monagas y Anzoategui ha causado grandes deficiencias de micronutrimentos. Esta investigacion se realizo en una siembra comercial de maiz. Es decir todas las ...
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Several aquatic environments of the province of Córdoba (Argentina) are used for sport fishing and catching of bait fish. The aim of this paper is to describe the characteristics of 9 outbreaks of disease on wild fish in the central-south region of Córdoba (31° and 35°S, 62° and 65°W). Fish we...
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UNIRED: PROYECTO PADRINAZGO PUBLICACIONES PERIODICAS ARGENTINAS. Título (A): Primera etapa en el desarrollo de un sistema de información geográfica (SIG) aplicada a la vigilancia epidemiológica: comunicación, pp. 331. Autor Personal (A): Sanchez, J.; Piscitelli, Hernán Gustavo; Severina, W.; L...
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La aplicacion indiscriminada de fertilizantes con NPK, ademas de la aplicacion de enmiendas calcareas, en la mayoria de los suelos del Estado Monagas y Anzoategui ha causado grandes deficiencias de micronutrimentos. Esta investigacion se realizo en una siembra comercial de maiz. Es decir todas las ...
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Knowledge synthesis refers to the integration of findings from individual research studies on a given topic or question into the global knowledge base. The application of knowledge synthesis methods, particularly systematic reviews and meta-analysis, has increased considerably in the agri-food publi...
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Juvenile pink salmon Oncorhynchus gorbuscha and chum salmon O. keta were sampled by beach or purse seine to assess levels of sea lice infestation in the Knight Inlet and Broughton Archipelago regions of coastal British Columbia, Canada, during the months of March to July from 2003 to 2012. Beach sei...
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Diagnostic test orders to an animal laboratory were explored as a data source for monitoring trends in the incidence of clinical syndromes in cattle. Four years of real data and over 200 simulated outbreak signals were used to compare pre-processing methods that could remove temporal effects in the ...
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The practice of disease surveillance has shifted in the last two decades towards the introduction of systems capable of early detection of disease. Modern biosurveillance systems explore different sources of pre-diagnostic data, such as patient's chief complaint upon emergency visit or labo...
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Selected alternative treatments for preventing or controlling gastrointestinal nematodes (GIN) in sheep under field conditions were evaluated using a systematic review-meta-analysis methodology. Forty-three publications reporting 51 studies (21 controlled studies (CS) and 30 challenge studies (ChS))...
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Global climate change is known to result in the emergence or re-emergence of some infectious diseases. Reliable methods to identify the infectious diseases of humans and animals and that are most likely to be influenced by climate are therefore required. Since different priorities will affect the de...
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Understanding contact networks are important for modelling and managing the spread and control of communicable diseases in populations. This study characterizes the swine shipment network of a multi-site production system in southwestern Ontario, Canada. Data were extracted from a company's database...
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Increasing incidences of emerging and re-emerging diseases that are mostly zoonotic (e.g. severe acute respiratory syndrome, avian influenza H5N1, pandemic influenza) has led to the need for a multidisciplinary approach to tackling these threats to public and animal health. Accordingly, a global...
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Syndromic surveillance can be characterised as a process involving the continuous analysis of health data to provide immediate feedback. The data sources scanned should therefore represent high population coverage, be acquired continuously, in an automated manner, and be available in digital format....
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Global climate change is predicted to lead to an increase in infectious disease outbreaks. Reliable surveillance for diseases that are most likely to emerge is required, and given limited resources, policy decision makers need rational methods with which to prioritise pathogen threats. Here expe...
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Background Syndromic surveillance research has focused on two main themes: the search for data sources that can provide early disease detection; and the development of efficient algorithms that can detect potential outbreak signals. Methods This work combines three algorithms that have demonstrate...
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Mastitis is the main disease entity affecting dairy farms in the Colombian High Plains of northern Antioquia, Colombia. However, no previous epidemiologic studies have determined the characteristics that increase the risk of infection in this region, where manual milking is still the prevailing syst...
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Disease surveillance must assess the relative importance of pathogen hazards. Here, we use the Hirsch index (h-index) as a novel method to identify and rank infectious pathogens that are likely to be a hazard to human health in the North American region. This bibliometric index was developed to quan...
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Syndromic surveillance systems can enhance early disease warning, endemic disease monitoring, or help to accumulate proof of disease freedom. In order to provide immediate feedback to achieve these goals, the health data sources scanned should be acquired continuously, in an automated fashion, and s...
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The circulation of zoonotic influenza A viruses including pH1N1 2009 and H5N1 continue to present a constant threat to animal and human populations. Recently, an H3N2 variant spread from pigs to humans and between humans in limited numbers. Accordingly, this research investigated a range of scenario...
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Syndromic surveillance is a tool for continuous, automated extraction of surveillance information from health data sources. The research documented in this dissertation aimed at exploring informatics and data mining tools in order to develop and implement techniques to harvest additional surveillanc...
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Approximately 60% of human pathogens and emerging infectious diseases are zoonotic. Simulation models are increasingly being used to investigate the spread of diseases, evaluate intervention strategies and guide the decisions of policy makers. In this thesis a systematic review of modeling methods a...