Literatura científica selecionada sobre o tema "Pathogen tracking"
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Artigos de revistas sobre o assunto "Pathogen tracking"
Check, Erika. "Pathogen-tracking questioned". Nature 420, n.º 6915 (dezembro de 2002): 451. http://dx.doi.org/10.1038/420451b.
Texto completo da fonteCOOKE, DAVID E. L. "Tracking the sudden oak death pathogen". Molecular Ecology 16, n.º 18 (setembro de 2007): 3735–36. http://dx.doi.org/10.1111/j.1365-294x.2007.03430.x.
Texto completo da fonteHadfield, James, Colin Megill, Sidney M. Bell, John Huddleston, Barney Potter, Charlton Callender, Pavel Sagulenko, Trevor Bedford e Richard A. Neher. "Nextstrain: real-time tracking of pathogen evolution". Bioinformatics 34, n.º 23 (22 de maio de 2018): 4121–23. http://dx.doi.org/10.1093/bioinformatics/bty407.
Texto completo da fonteStroeymeyt, Nathalie, Anna V. Grasse, Alessandro Crespi, Danielle P. Mersch, Sylvia Cremer e Laurent Keller. "Social network plasticity decreases disease transmission in a eusocial insect". Science 362, n.º 6417 (22 de novembro de 2018): 941–45. http://dx.doi.org/10.1126/science.aat4793.
Texto completo da fonteNoble, Rachel T., Steven M. Allen, Angelia D. Blackwood, Weiping Chu, Sunny C. Jiang, Greg L. Lovelace, Mark D. Sobsey, Jill R. Stewart e Douglas A. Wait. "Use of viral pathogens and indicators to differentiate between human and non-human fecal contamination in a microbial source tracking comparison study". Journal of Water and Health 1, n.º 4 (1 de dezembro de 2003): 195–207. http://dx.doi.org/10.2166/wh.2003.0021.
Texto completo da fonteLeu, Stephan T., e Stephanie S. Godfrey. "Advances from the nexus of animal behaviour and pathogen transmission: new directions and opportunities using contact networks". Behaviour 155, n.º 7-9 (2018): 567–83. http://dx.doi.org/10.1163/1568539x-00003507.
Texto completo da fonteZhang, Ying, Der‐Shyang Kao, Bing Gu, Rajdeep Bomjan, Mayank Srivastava, Haojie Lu, Daoguo Zhou e W. Andy Tao. "Tracking Pathogen Infections by Time‐Resolved Chemical Proteomics". Angewandte Chemie International Edition 59, n.º 6 (3 de fevereiro de 2020): 2235–40. http://dx.doi.org/10.1002/anie.201911078.
Texto completo da fonteZhang, Ying, Der‐Shyang Kao, Bing Gu, Rajdeep Bomjan, Mayank Srivastava, Haojie Lu, Daoguo Zhou e W. Andy Tao. "Tracking Pathogen Infections by Time‐Resolved Chemical Proteomics". Angewandte Chemie 132, n.º 6 (9 de janeiro de 2020): 2255–60. http://dx.doi.org/10.1002/ange.201911078.
Texto completo da fonteSokolova, Ekaterina, Johan Åström, Thomas J. R. Pettersson, Olof Bergstedt e Malte Hermansson. "Estimation of pathogen concentrations in a drinking water source using hydrodynamic modelling and microbial source tracking". Journal of Water and Health 10, n.º 3 (6 de junho de 2012): 358–70. http://dx.doi.org/10.2166/wh.2012.183.
Texto completo da fonteGulumbe, Bashar Haruna, Abbas Yusuf Bazata e Musbahu Abdullahi Bagwai. "Campylobacter Species, Microbiological Source Tracking and Risk Assessment of Bacterial pathogens". Borneo Journal of Pharmacy 5, n.º 2 (31 de maio de 2022): 136–52. http://dx.doi.org/10.33084/bjop.v5i2.3363.
Texto completo da fonteTeses / dissertações sobre o assunto "Pathogen tracking"
Scheuerman, Phillip R., D. R. Dulaney, M. S. Floresquerra e Kurt J. Maier. "The Use of Fecal Coliform Source Tracking for Remediation of Pathogen Impaired Surface Waters". Digital Commons @ East Tennessee State University, 2003. https://dc.etsu.edu/etsu-works/2934.
Texto completo da fonteClement, Mary. "The use of microbial community fingerprinting as a marker for tracking the source of water application to pathogen and groundwater source tracking /". Morgantown, W. Va. : [West Virginia University Libraries], 2010. http://hdl.handle.net/10450/11132.
Texto completo da fonteTitle from document title page. Document formatted into pages; contains ix, 49 p. : ill. (some col.), col. maps. Includes abstract. Includes bibliographical references (p. 47-49).
Pesapane, Risa Raelene. "Tracking Pathogen Transmission at the Human-Wildlife Interface: Banded Mongoose (Mungos mungo) and Escherichia coli as a Model System in Chobe, Botswana". Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/76930.
Texto completo da fonteMaster of Science
Merrick, Natsuko N. "Microbial Source Tracking: Watershed Scale Study of Pathogen Origin, Fate, and Transport in the Upper Sugar Creek Watershed, Northeast Ohio". The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1276703299.
Texto completo da fonteSena, Kenton L. "TRACKING A TREE-KILLER: IMPROVING DETECTION AND CHARACTERIZING SPECIES DISTRIBUTION OF PHYTOPHTHORA CINNAMOMI IN APPALACHIAN FORESTS". UKnowledge, 2018. https://uknowledge.uky.edu/pss_etds/102.
Texto completo da fonteHennart, Mélanie. "Taxonomie génomique des souches bactériennes et émergence de l'antibiorésistance". Electronic Thesis or Diss., Sorbonne université, 2022. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2022SORUS547.pdf.
Texto completo da fonteInfectious diseases are a global public health concern, particularly due to antimicrobial-resistance in some pathogenic bacteria. Klebsiella pneumoniae is one of the most worrying multiresistant bacteria. Corynebacterium diphtheriae, which causes diphtheria, remains largely susceptible to first-line antibiotics, including penicillin, and can be controlled through vaccination, but re-emerges when vaccination coverage is insufficient. Among the effective infection control measures, the accurate detection and identification of these pathogens, as well as their epidemiological monitoring, play a key role. In the recent years, the implementation of whole-genome sequencing (WGS) has revolutionised bacterial genotyping, by providing discrimination at the strain level. Genomic sequencing also enables the detection of variants and their important characteristics, such as virulence or antimicrobial resistance. The research work of this thesis is structured around two main axes. The first axis provides bioinformatic analyses of the population structure of antimicrobial resistance in C. diphtheriae. A genome-wide association study (GWAS) was performed to determine the genetic basis behind the resistance phenotypes, as well as the associations with diphtheria toxin production and other strain characteristics. A new penicillin resistance gene was discovered on a mobile element in C. diphtheriae. A genotyping tool was developed specifically for C. diphtheriae, for which the links between genotypes and clinical phenotypes are poorly known. This tool consolidates and facilitates the detection and genotyping of the main virulence factors and resistance genes, as well as the use of strain nomenclatures from assembled genomes. It also enables the prediction of biovars and toxicity of strains. The second axis relates to infra-species genomic taxonomy. A new approach of genome-based classification and nomenclature of strains was developed using K. pneumoniae as a model. This work describes the design and implementation of a barcoding system that combines Single Linkage MultiLevel (MLSL) clustering and Life Identification Number (LIN) codes, both based on the same core-genome MLST (cgMLST) typing scheme. This innovative taxonomic approach, widely applicable to other bacterial species, yields precise and stable nomenclatures. A study of the phylogenetic structure of C. diphtheriae was also carried out, with the implementation of a cgMLST scheme on the basis of which a genomic taxonomy of strains was proposed. Based on the contributions and concepts presented above, several case studies were carried out: identification and characterisation of a new species (C. rouxii), previously misidentified as C. diphtheriae; genomic epidemiology of diphtheria in different world regions or clinical sources. These applications of genomic taxonomy in combination with antimicrobial resistance gene detection illustrate the potential of the methods and tools developed during this thesis to support genomic research and surveillance of pathogenic bacteria
Leach, Mark Daniel. "A discrete, stochastic model and correction method for bacterial source tracking". Online access for everyone, 2007. http://www.dissertations.wsu.edu/Thesis/Spring2007/m_leach_050207.pdf.
Texto completo da fonteRobinson, Matthew T. "The tracking of pathogens during artificial actoparasite feeding : a focus on Bartonella henselae and Anaplasma phagocytophilum". Thesis, University of Bristol, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.501522.
Texto completo da fonteHussein, Khwam Reissan. "Source tracking of faecal indicator bacteria of human pathogens in bathing waters : an evaluation and development". Thesis, University of Plymouth, 2014. http://hdl.handle.net/10026.1/3011.
Texto completo da fonteVenkatesan, Lavanya. "Identifying and Tracking the Evolution of Mutations in the SARS-CoV-2 Virus". Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/103939.
Texto completo da fonteMaster of Science
A novel corona virus named Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2) has taken down the entire world by causing Covid-19 pandemic. Initially detected in Wuhan, China, the virus has now made its way to more than 200 countries with a heavy death toll. Understanding the virus through mutation tracking and improving diagnostics and vaccine design have now become the top priority of researchers. Most of these researchers depend on quality viral sequence datasets to identify and track mutations. One aim of this study is to provide a comprehensive dataset linking the GISAID (Global Initiative on Sharing All Influenza Data), NCBI (National Center for Biological Information) and the SRA (Sequence Read Archive) sequences. The dataset can be used for genome analysis and mutation tracking which can provide important insights for vaccine design and in improving diagnostic assays. In addition, this study provides an analysis of viral mutations in in the genomic regions targeted by commonly used primers in the RT-PCR tests for SARS-CoV-2 that may affect the efficiency of detection. This study also uses the haplogroup information of people across the world to track the D614G mutation on the S gene of SARS-CoV-2 as it may be associated with increased transmissibility. To track the course of mutations in SARS-CoV-2, it is important to analyze the sequencing data provided by the Illumina and Oxford Nanopore next generation sequencing methods. We present a case study to investigate the course of SARS-CoV-2 mutations in a single septuagenarian patient over a period of 102days using the Sequence Read Archive (SRA) data generated by two Next Generation Sequencing methods and compare the advantages that one has over the other.
Livros sobre o assunto "Pathogen tracking"
Tanya, Roberts, Jensen Helen H, Unnevehr Laurian e United States. Dept. of Agriculture. Economic Research Service., eds. Tracking foodborne pathogens from farm to table: Data needs to evaluate control options : conference proceedings January 9-10, 1995, Washington, D.C. Washington, D.C: U.S. Dept. of Agriculture, ERS, 1995.
Encontre o texto completo da fonte), Wilmington (Del, e Geological Survey (U.S.), eds. Pathogenic bacteria and microbial-source tracking markers in Brandywine Creek Basin, Pennsylvania and Delaware, 2009-10. Reston, Va: U.S. Dept. of the Interior, U.S. Geological Survey, 2011.
Encontre o texto completo da fonteMicrobial source tracking: Methods, applications, and case studies. New York: Springer, 2011.
Encontre o texto completo da fonteUnited States. Dept. of Agriculture, ed. Tracking foodborne pathogens from farm to table: Data needs to evaluate control options : conference proceedings, January 9-10, 1995, Washington, DC. [Washington, DC]: U.S. Dept. of Agriculture, 1995.
Encontre o texto completo da fonteUnited States. Dept. of Agriculture., ed. Tracking foodborne pathogens from farm to table: Data needs to evaluate control options : conference proceedings, January 9-10, 1995, Washington, DC. [Washington, DC]: U.S. Dept. of Agriculture, 1995.
Encontre o texto completo da fonteUnited States. Dept. of Agriculture., ed. Tracking foodborne pathogens from farm to table: Data needs to evaluate control options : conference proceedings, January 9-10, 1995, Washington, DC. [Washington, DC]: U.S. Dept. of Agriculture, 1995.
Encontre o texto completo da fonteTracking Foodborne Pathogens From Farm To Table: Data Needs To Evaluate Control Options. Diane Pub Co, 2004.
Encontre o texto completo da fonteMicrobial source tracking. Washington, D.C: ASM Press, 2007.
Encontre o texto completo da fonteRochelle, Paul A., e Ricardo De Leon. Workshop on Microbial Source Tracking in Water (Werf Report). WERF, 2007.
Encontre o texto completo da fonteHagedorn, Charles, Anicet R. Blanch e Valerie J. Harwood. Microbial Source Tracking: Methods, Applications, and Case Studies. Springer, 2014.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Pathogen tracking"
Koczerka, Michaël, Isabelle Lantier, Anne Pinard, Marie Morillon, Justine Deperne, Ohad Gal-Mor, Olivier Grépinet e Isabelle Virlogeux-Payant. "In Vivo Tracking of Bacterial Colonization in Different Murine Models Using Bioluminescence: The Example of Salmonella". In Methods in Molecular Biology, 235–48. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-1971-1_19.
Texto completo da fonteMoss, Joseph A., e Richard A. Snyder. "Pathogenic Protozoa". In Microbial Source Tracking: Methods, Applications, and Case Studies, 157–88. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9386-1_7.
Texto completo da fonteFalkinham, Joseph O. "Detection, Isolation, and Source Tracking of OPPPs". In Opportunistic Premise Plumbing Pathogens, 173–86. New York: Jenny Stanford Publishing, 2023. http://dx.doi.org/10.1201/9781003321002-9.
Texto completo da fonteCarlson, Brandon A., e Kendra K. Nightingale. "Molecular Subtyping and Tracking of Food-Borne Bacterial Pathogens". In Pathogens and Toxins in Foods, 460–77. Washington, DC, USA: ASM Press, 2014. http://dx.doi.org/10.1128/9781555815936.ch29.
Texto completo da fonteKinzelman, Julie, David Kay e Kathy Pond. "Relating MST Results to Fecal Indicator Bacteria, Pathogens, and Standards". In Microbial Source Tracking: Methods, Applications, and Case Studies, 337–59. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9386-1_15.
Texto completo da fonteMartins, Salonee, Aishwarya Pathare, Purva Salvi, Unnati Bhalerao, Mahalaxmi U. Bhat, Meenakshi Singh, Muneesh Kumar Barman et al. "Microbial indicators and methods for source tracking faecal contamination of groundwater". In Legacy, Pathogenic and Emerging Contaminants in the Environment, 181–201. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781003157465-10.
Texto completo da fonteWong, Sandy M. S., Jeffrey D. Gawronski, David Lapointe e Brian J. Akerley. "High-Throughput Insertion Tracking by Deep Sequencing for the Analysis of Bacterial Pathogens". In Methods in Molecular Biology, 209–22. Totowa, NJ: Humana Press, 2011. http://dx.doi.org/10.1007/978-1-61779-089-8_15.
Texto completo da fonteDuffy, Geraldine. "Detecting and Tracking Emerging Pathogenic and Spoilage Bacteria from Farm to Fork". In Safety of Meat and Processed Meat, 447–59. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-89026-5_17.
Texto completo da fonteAhmed, Warish, e Valerie Harwood. "Human and animal enteric viral markers for tracking the sources of faecal pollution". In Global Water Pathogen Project, editado por Andreas Farnleitner e Anicet Blanch. Michigan State University, 2017. http://dx.doi.org/10.14321/waterpathogens.8.
Texto completo da fonteLinke, Rita, P. Stadler, Georg H. Reischer, D. Savio, D. Kollanur, R. Mayer, R. L. Mach et al. "Using genetic microbial source tracking (MST) markers to identify fecal pollution sources in spring water of a large alpine karst catchment". In Global Water Pathogen Project, editado por Susan Petterson e Gertjan Medema. Michigan State University, 2019. http://dx.doi.org/10.14321/waterpathogens.82.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Pathogen tracking"
Kumar, Aloke, Venu Gorti e Steve Wereley. "Biological Agent Detection Using Optical Diffusometry Methods". In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-13267.
Texto completo da fonteFedorka-Cray, Paula J., J. McKean e G. Beran. "Tracking salmonella on the farm: a farrow to finish study". In Fourth International Symposium on the Epidemiology and Control of Salmonella and Other Food Borne Pathogens in Pork. Iowa State University, Digital Press, 1997. http://dx.doi.org/10.31274/safepork-180809-212.
Texto completo da fonte