Academic literature on the topic 'Disease propagation'
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Journal articles on the topic "Disease propagation"
Nagaprasad, S., T. Pushpalatha, and S. Naga Lakshmi. "Heart Disease Prediction Propagation approach." International Journal of Machine Learning and Networked Collaborative Engineering 4, no. 2 (October 24, 2020): 72–77. http://dx.doi.org/10.30991/ijmlnce.2020v04i02.003.
Full textBrightman, B. K., Q. X. Li, D. J. Trepp, and H. Fan. "Differential disease restriction of Moloney and Friend murine leukemia viruses by the mouse Rmcf gene is governed by the viral long terminal repeat." Journal of Experimental Medicine 174, no. 2 (August 1, 1991): 389–96. http://dx.doi.org/10.1084/jem.174.2.389.
Full textRajna, Zalán, Heli Mattila, Niko Huotari, Timo Tuovinen, Johanna Krüger, Sebastian C. Holst, Vesa Korhonen, et al. "Cardiovascular brain impulses in Alzheimer’s disease." Brain 144, no. 7 (March 31, 2021): 2214–26. http://dx.doi.org/10.1093/brain/awab144.
Full textWilson, Spencer, Abdullah Alabdulkarim, and David Goldsman. "Green Simulation of Pandemic Disease Propagation." Symmetry 11, no. 4 (April 22, 2019): 580. http://dx.doi.org/10.3390/sym11040580.
Full textYates, Darran. "Propagation of disease pathology in PD." Nature Reviews Neurology 5, no. 10 (October 2009): 522. http://dx.doi.org/10.1038/nrneurol.2009.142.
Full textMAGDOŃ-MAKSYMOWICZ, M. S., A. Z. MAKSYMOWICZ, and J. GOŁDASZ. "SIMULATION OF MAD COW DISEASE PROPAGATION." International Journal of Modern Physics C 17, no. 02 (February 2006): 213–22. http://dx.doi.org/10.1142/s0129183106008935.
Full textSoto, Claudio, and Gabriela P. Saborı́o. "Prions: disease propagation and disease therapy by conformational transmission." Trends in Molecular Medicine 7, no. 3 (March 2001): 109–14. http://dx.doi.org/10.1016/s1471-4914(01)01931-1.
Full textLuk, Kelvin C., and Virginia M. Y. Lee. "Modeling Lewy pathology propagation in Parkinson's disease." Parkinsonism & Related Disorders 20 (January 2014): S85—S87. http://dx.doi.org/10.1016/s1353-8020(13)70022-1.
Full textPotterat, J. J., R. B. Rothenberg, and S. Q. Muth. "Network structural dynamics and infectious disease propagation." International Journal of STD & AIDS 10, no. 3 (March 1999): 182–85. http://dx.doi.org/10.1258/0956462991913853.
Full textQian, Yu, Søren Besenbacher, Thomas Mailund, and Mikkel Heide Schierup. "Identifying disease associated genes by network propagation." BMC Systems Biology 8, Suppl 1 (2014): S6. http://dx.doi.org/10.1186/1752-0509-8-s1-s6.
Full textDissertations / Theses on the topic "Disease propagation"
Ferreira, Rodrigues Sara [Verfasser]. "Propagation of Tau pathology in Alzheimer disease / Sara Ferreira Rodrigues." Bonn : Universitäts- und Landesbibliothek Bonn, 2020. http://d-nb.info/121914049X/34.
Full textCanter, Rebecca Gail. "4D mapping of network-specific pathological propagation in Alzheimer's disease." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/107868.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 113-132).
Alzheimer's disease (AD) causes a devastating loss of memory and cognition for which there is no cure. Without effective treatments that slow or reverse the course of the disease, the rapidly aging population will require astronomical investment from society to care for the increasing numbers of AD patients. Additionally, the financial and emotional burden on families of affected individuals will be profound. Traditional approaches to the study of AD use either biochemical assays to probe cellular pathophysiology or non-invasive imaging platforms to investigate brain-wide network alterations. Though decades of research using these tools have advanced the field significantly, our increased understanding of AD has not led to successful interventions. One reason for this impediment may be that the tools used in neither approach can achieve the spatial and temporal precision necessary to study the consequences of molecular insults across the brain over time. In this thesis, I capitalize on recent advances in tissue processing technologies to gain a network-level perspective on the molecular and cellular progression of AD. First, I present optimized methods for in situ proteomic phenotyping of large-volume tissue specimens. Then, I use the techniques to map amyloid-beta (A[beta]) aggregates at the whole-brain scale across disease stages in a mouse model of AD. The spatially-unbiased, temporally-precise map demonstrates hierarchical susceptibility of increasingly large, memory-related brain networks to A[beta] deposition. Importantly, the 4D nature of the map reveals that subcortical nodes and white matter tracts of the Papez memory circuit exhibit unique, early vulnerability to A[beta] aggregates. Finally, using large-volume labeling approaches, I confirm the molecular findings by showing disease-specific A[beta] aggregation in human samples from the early hub regions. Together, this data unites desperate observations of network-level deficits and identifies critical locations of early A[beta] deposition in the brain. By linking molecular and network observations, I begin to provide biological explanations for the clinical manifestation of AD. This perspective can guide earlier patient identification and refine experimental approaches to developing cognitively efficacious treatments. These discoveries emphasize the necessity of multi-level investigations in neuroscience research and highlight the potential impacts of tools that enable researchers to bridge the gap.
by Rebecca Gail Canter.
Ph. D.
Elizabeth, Murphy A. "UTILIZING DROSOPHILA PRIMARY NEURONS TO STUDY HUMAN TAU PROPAGATION: AN IN VITRO MODEL OF ALZHEIMER'S DISEASE." Ohio University Honors Tutorial College / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ouhonors1524831015975217.
Full textDomert, Jakob. "Neuron-to-neuron propagation of neurodegenerative proteins; relation to degradative systems." Doctoral thesis, Linköpings universitet, Avdelningen för neuro- och inflammationsvetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-134667.
Full textDavidson, Andrew Doran. "Fundamental Principles of Tremor Propagation in the Upper Limb." BYU ScholarsArchive, 2016. https://scholarsarchive.byu.edu/etd/6509.
Full textKim, Louis Y. (Louis Yongchul). "Estimating network structure and propagation dynamics for an infectious disease : towards effective vaccine allocation." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/91397.
Full text76
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 67-72).
In the event of a pandemic influenza outbreak, such as the 2009-2010 H1N1 "Swine Flu" episode, it is crucial to effectively allocate limited resources in order to minimize the casualties. Design of effective resource allocation strategies requires good understanding of the underlying contact network and of the propagation dynamics. In this thesis we develop a parameter estimation method that learns the network structure, among a family of graphs, and disease dynamics from the recorded infection curve, assuming that the disease dynamics follow an SIR process. We apply the method to data collected during the 2009-2010 H1N1 epidemic and show that the best-fit model, among a scale-free network and a small-world network, indicates the scale-free network. Given the knowledge of the network structure we evaluate different vaccination strategies. As a benchmark, we allow the vaccination decisions to depend on the state of the epidemic and we show that random vaccination (which is the current practice), does not efficiently halt the spread of influenza. Instead, we propose vaccine allocation strategies that exploit the underlying network structure and provide a reduction in the number of infections by over 6 times compared to the current practice. In addition, more realistic scenario involves random encounters between agents. To test this hypothesis, we introduced a dynamic network formation on top of the static network model. We apply the estimation method to the dynamic network model and show a small improvement in estimating the infection dynamics of the 2009-2010 H1N1 influenza.
by Louis Y. Kim.
S.M.
Wann, Steven R. "In vitro isolation and propagation of mammatoxin-resistant aspen." Diss., Georgia Institute of Technology, 1985. http://hdl.handle.net/1853/5742.
Full textChen, Chien-Hung. "Optimization and decision strategies for medical preparedness and emergency response." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/52939.
Full textGibb, Matthew Michael James. "Myocardial microstructure and its role in propagation dynamics." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:69a1a65e-9a71-422c-86e8-c347cfabf21a.
Full textEusebio, A. "Mechanisms and consequences of beta oscillatory activity propagation in the basal ganglia-cortical network in Parkinson's disease." Thesis, University College London (University of London), 2012. http://discovery.ucl.ac.uk/1356885/.
Full textBooks on the topic "Disease propagation"
De Mello, Walmor C., and Michiel J. Janse. Heart Cell Coupling and Impulse Propagation in Health and Disease. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-1155-7.
Full textGrape and Wine Research and Development Corporation (Australia), ed. Using grapevine rootstocks: The Australian perspective. Adelaide: Winetitles, 1994.
Find full textMitra, Sisir, ed. Guava: botany, production and uses. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789247022.0000.
Full textMcDonald, G. I. Armillaria in the northern Rockies: Delineation of isolates into clones. [Ogden, Utah]: U.S. Dept. of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, 1988.
Find full textMcDonald, G. I. Armillaria in the northern Rockies: Delineation of isolates into clones. Ogden, UT: U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1988.
Find full textMcDonald, G. I. Armillaria in the northern Rockies: Delineation of isolates into clones. Ogden, UT: U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1988.
Find full textRoth, Lewis F. Response of dwarf mistletoe-infested ponderosa pine to thinning. [Portland, Or.]: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Forest and Range Experiment Station, 1985.
Find full textMcDonald, G. I. Armillaria in the northern Rockies: Pathogenicity and host susceptibility on pristine and disturbed sites. Ogden, UT: U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1987.
Find full textMcDonald, G. I. Armillaria in the northern Rockies: Pathogenicity and host susceptibility on pristine and disturbed sites. Ogden, UT: U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1987.
Find full textMcDonald, G. I. Armillaria in the northern Rockies: Pathogenicity and host susceptibility on pristine and disturbed sites. Ogden, UT: U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1987.
Find full textBook chapters on the topic "Disease propagation"
Babiuk, Shawn. "Propagation of the Virus In Vitro." In Lumpy Skin Disease, 41–44. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92411-3_10.
Full textKapp, Ursula, Jürgen Wolf, Christof von Kalle, and Volker Diehl. "Propagation of Hodgkin and Reed-Sternberg Cells." In Etiology of Hodgkin’s Disease, 173–86. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4613-0339-8_14.
Full textKumar, Vivek, Manoj Kumar, Shivesh Sharma, Ajit Varma, and Neera Bhalla-Sarin. "Procedural Insights on In Vitro Propagation of Litchi chinensis (Sonn.)." In Lychee Disease Management, 217–35. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4247-8_13.
Full textZhu, Jiefan, Wenjie Tang, and Yiping Yao. "Message Transmission-Driven Infectious Disease Propagation Model." In Advances in Intelligent Systems and Computing, 284–90. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34387-3_35.
Full textWinfree, A. T. "Are Cardiac Waves Relevant to Epileptic Wave Propagation?" In Epilepsy as a Dynamic Disease, 165–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05048-4_10.
Full textMilton, J. "Insights into Seizure Propagation from Axonal Conduction Times." In Epilepsy as a Dynamic Disease, 15–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05048-4_2.
Full textRao, Srinath, and H. Sandhya. "In Vitro Selection of Disease-Resistant Plants." In Plant Tissue Culture: Propagation, Conservation and Crop Improvement, 395–417. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1917-3_17.
Full textDucrot, Arnaud, and Hiroshi Matano. "Plant Disease Propagation in a Striped Periodic Medium." In Applied Analysis in Biological and Physical Sciences, 121–64. New Delhi: Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-3640-5_8.
Full textHu, Mingsheng, Suimin Jia, Qiaoling Chen, Zhijuan Jia, and Liu Hong. "The Analysis of Epidemic Disease Propagation in Competition Environment." In Lecture Notes in Electrical Engineering, 227–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38466-0_26.
Full textVomberg, Zoë L., Megan Robinson, Thomas Fellner, and Karl Willert. "Maintenance, Propagation, and Differentiation of Human Embryonic Stem Cells and Induced Pluripotent Stem Cells." In Textbook of Pulmonary Vascular Disease, 613–20. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-0-387-87429-6_42.
Full textConference papers on the topic "Disease propagation"
Joseph, Richard, Yohan Mahajan, Sanjib Naha Biswas, Karan Patowary, and Dhanashri Asai. "Contagious Disease Propagation Study Using Machine Learning." In 2018 3rd International Conference on Inventive Computation Technologies (ICICT). IEEE, 2018. http://dx.doi.org/10.1109/icict43934.2018.9034328.
Full textHwang, TaeHyun, and Rui Kuang. "A Heterogeneous Label Propagation Algorithm for Disease Gene Discovery." In Proceedings of the 2010 SIAM International Conference on Data Mining. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2010. http://dx.doi.org/10.1137/1.9781611972801.51.
Full text"ARTIFICIAL LIFE MODEL OF DENGUE HOST-VECTOR DISEASE PROPAGATION." In International Conference on Evolutionary Computation. SciTePress - Science and and Technology Publications, 2009. http://dx.doi.org/10.5220/0002324102430247.
Full textShahzamal, Md, Raja Jurdak, Reza Arablouei, Minkyoung Kim, Kanchana Thilakarathna, and Bernard Mans. "Airborne Disease Propagation on Large Scale Social Contact Networks." In CPS Week '17: Cyber Physical Systems Week 2017. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3055601.3055604.
Full textFaragó, István, and Róbert Horváth. "Qualitatively adequate numerical modelling of spatial SIRS-type disease propagation." In The 10'th Colloquium on the Qualitative Theory of Differential Equations. Szeged: Bolyai Institute, SZTE, 2016. http://dx.doi.org/10.14232/ejqtde.2016.8.12.
Full textKurtah, Pratima, Yusrah Takun, and Leckraj Nagowah. "Disease Propagation Prediction using Machine Learning for Crowdsourcing Mobile Applications." In 2019 7th International Conference on Information and Communication Technology (ICoICT). IEEE, 2019. http://dx.doi.org/10.1109/icoict.2019.8835381.
Full textRavindra, B. V., N. Sriraam, and M. Geetha. "Chronic Kidney Disease Detection Using Back Propagation Neural Network Classifier." In 2018 International Conference on Communication, Computing and Internet of Things (IC3IoT). IEEE, 2018. http://dx.doi.org/10.1109/ic3iot.2018.8668110.
Full textGromov, Dmitry. "Stuctural analysis of a controlled compartmental model of disease propagation." In 2019 SICE International Symposium on Control Systems (SICE ISCS). IEEE, 2019. http://dx.doi.org/10.23919/siceiscs.2019.8758777.
Full textHua, Ting, Chandan K. Reddy, Lei Zhang, Lijing Wang, Liang Zhao, Chang-Tien Lu, and Naren Ramakrishnan. "Social Media based Simulation Models for Understanding Disease Dynamics." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/528.
Full textTayyab, M., M. S. Sharawi, and A. Shamim. "Inkjet Printed RF Sensor Array For Lung Disease Detection." In 12th European Conference on Antennas and Propagation (EuCAP 2018). Institution of Engineering and Technology, 2018. http://dx.doi.org/10.1049/cp.2018.1224.
Full textReports on the topic "Disease propagation"
Ibáñez, Ana María, Sandra Rozo, and Maria J. Urbina. Forced Migration and the Spread of Infectious Diseases. Inter-American Development Bank, November 2020. http://dx.doi.org/10.18235/0002894.
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