Tesi sul tema "Determinants and dynamics of infectious diseases"
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Eames, K. "Dynamics of infectious diseases on mixing networks". Thesis, University of Cambridge, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.598725.
Okonna, Ime Udo. "Time-delayed models of infectious diseases dynamics". Thesis, University of Sussex, 2018. http://sro.sussex.ac.uk/id/eprint/73551/.
Gupta, Sunetra. "Heterogeneity and the transmission dynamics of infectious diseases". Thesis, Imperial College London, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.309107.
Russell, Colin Andrew. "Dynamics of acute infectious diseases in heterogeneous environments". Thesis, University of Cambridge, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.614196.
Rudd, Matthew Francis, e mikewood@deakin edu au. "Virulence determinants of infectious bursal disease virus". Deakin University. School of Biological and Chemical Sciences, 2003. http://tux.lib.deakin.edu.au./adt-VDU/public/adt-VDU20050825.103742.
Song, Wei Ash, e 宋威. "Demographic determinants of risk perception of newly emerging respiratory infectious diseases". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B46941617.
Gaythorpe, Katherine. "The impact of natural disasters on the dynamics of infectious diseases". Thesis, University of Bath, 2016. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.681058.
Wilson, David. "The mathematical modelling of the cellular dynamics of human infectious diseases". Thesis, Queensland University of Technology, 2003. https://eprints.qut.edu.au/37155/8/David%20Wilson%20Thesis.pdf.
Gabel, Michael [Verfasser], e Ursula [Akademischer Betreuer] Kummer. "Quantifying CD8+ T cell dynamics in infectious diseases / Michael Gabel ; Betreuer: Ursula Kummer". Heidelberg : Universitätsbibliothek Heidelberg, 2018. http://d-nb.info/1177251787/34.
O'Connor, Daniel. "Genetics determinants of vaccine responses". Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:6e529d46-4a1a-423e-87e1-eaee8977791d.
Alkaitis, Matthew S. "Biochemical determinants of nitric oxide synthesis in severe malaria". Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:dde50b9c-fea1-432a-8c5f-35e97e641061.
Godfrey, Elinor. "Social and environmental determinants of changing distribution and incidence of tick-borne encephalitis in Western Europe". Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:fd0a7241-b85f-4d49-abe4-a5ec4057c96e.
Earnhart, Christopher G. "Dynamics of the host-parasite interaction: in vitro correlates of Crassostrea-induced modulation of Perkinsus marinus function". W&M ScholarWorks, 2004. https://scholarworks.wm.edu/etd/1539616637.
Cavanagh, Rachel. "Interactions between population dynamics, body condition and infectious diseases (cowpox virus and Mycobacterium microti) of wild rodents". Thesis, University of Liverpool, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.250372.
Jones, Darbi Rae. "The Effect of Vaccination and Host Genetics on Transmission Dynamics of Infectious Hematopoietic Necrosis Virus and Flavobacterium Psychrophilum in Rainbow Trout (Oncorhynchus Mykiss)". W&M ScholarWorks, 2019. https://scholarworks.wm.edu/etd/1582642565.
Cuny, Gérard. "Les crises épidémiques de l'empire romain, 27 av. J.-C. - 476 ap. J.-C". Electronic Thesis or Diss., Montpellier 3, 2023. http://www.theses.fr/2023MON30036.
Many sources attest to epidemics, and various stories refer to "plagues", generic names to designate serious epidemic infectious diseases that marked the Roman Empire. The stories that have come down to us do not or very rarely give any information on the epidemiology, symptoms, signs or evolution of the diseases responsible, but in the absence of being able to make a precise diagnosis, it seems plausible, taking into account our current knowledge, to put forward hypotheses on their nature. For each epidemic, the identification of potentially responsible pathogens, and their interactions with past populations, is carried out. Then, a research/understanding is carried out, in order to explain the appearance of the infectious disease, the dynamics of its temporal and spatial behavior, the critical size of the host populations, the importance and the effects of environmental or bioclimatic modifications which have contributed to its dissemination. To better explain these epidemic events, an inventory of medical knowledge of the time was essential: what were the conceptions that doctors had of diseases, their causes and their varieties, notions of the transmissibility of infectious diseases. The various demographic (population density, health status, migrations), socio-economic (poverty, nutritional deficiencies, human pressures on the environment), climatic and ecological factors which individually or in conjunction could favor the development of a epidemic. Finally, the perception of the epidemic risk, in its cognitive (knowledge and understanding of the risk) and emotional (feeling of the risk and behavior) dimensions, as well as the way in which the State and the populations endeavored to protect themselves or to suffer the epidemic outbreaks are considered. The Roman Empire was confronted with major epidemics, the first deadly pandemics described in history which will contribute to its weakening and indirectly to the rise of Christianity
Ramamoorthy, Divya. "Design of Novel Inhibitors for Infectious Diseases using Structure-based Drug Design: Virtual Screening, Homology Modeling and Molecular Dynamics". Scholar Commons, 2012. http://scholarcommons.usf.edu/etd/4393.
Athri, Prashanth. "Application of Computer-Aided Drug Discovery Methodologies Towards the Rational Design of Drugs Against Infectious Diseases". Digital Archive @ GSU, 2008. http://digitalarchive.gsu.edu/chemistry_diss/20.
Neal, Aaron T. "Identifying genetic determinants of impaired PfEMP1 export in Plasmodium falciparum-infected erythrocytes". Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:0cc3f09c-9178-448b-92f8-8f9564398585.
Rosenbloom, Daniel Scholes. "Dynamics of infection, mutation, and eradication, in HIV and other evolving populations". Thesis, Harvard University, 2013. http://dissertations.umi.com/gsas.harvard:10791.
Moreno, Torres Karla Irazema. "The Wildlife-Livestock Interface of Infectious Disease Dynamics: A One Health Approach". The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1460896947.
O'Bryan, Joel M. "Telomere Length Dynamics in Human T Cells: A Dissertation". eScholarship@UMMS, 2011. https://escholarship.umassmed.edu/gsbs_diss/568.
Rosà, Roberto. "The importance of aggregation in the dynamics of host-parasite interaction in wildlife : a mathematical approach". Thesis, University of Stirling, 2003. http://hdl.handle.net/1893/50.
Sundqvist, Martin. "Antibiotic Resistance and Population Dynamics of Escherichia coli in Relation to a Large Scale Antibiotic Consumption Intervention". Doctoral thesis, Uppsala universitet, Infektionssjukdomar, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-112190.
Lourenço, José. "Unifying the epidemiological, ecological and evolutionary dynamics of Dengue". Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:cb4db8dd-5467-4c6e-8d3e-3e0fe738bc0a.
Ramirez, Ramirez Lilia Leticia. "On the dynamics of infectious diseases in non-homogeneous populations". Thesis, 2008. http://hdl.handle.net/10012/4054.
"Structural and Biophysical Studies of Pathological Determinants in Cancer and Infectious Diseases". Doctoral diss., 2020. http://hdl.handle.net/2286/R.I.62824.
Dissertation/Thesis
Doctoral Dissertation Biochemistry 2020
Kgasago, Tshepo Matenatena Blessings. "Modelling the transmission dynamics of infectious diseases with vaccination and temporary immunity". Thesis, 2008. http://hdl.handle.net/10386/347.
In this dissertation, two non-linear mathematical models are proposed and analyzed to investigate the spread of infectious diseases in a variable size population through horizontal transmission in the presence of preventive or therapeutic vaccines which are capable of inducing temporary immunity and wane in time. In modeling the transmission dynamics, the population is divided into three subclasses namely; Susceptibles, Infectives and Vaccinated groups. It is assumed that both Vaccinated and Susceptible individuals are recruited into the community and can only become infected via contacts with the infectives group but the rate at which the vaccinated group may contract the diseases is extremely very low depending on the efficacy of the vaccine. All infectives are assumed to move at a constant rate to both Vaccinated and Susceptible groups. These models are analyzed by using the stability theory of differential equations and numerical simulation. The models exhibit two equilibria namely; the disease-free and the endemic equilibria. It is shown that if the vaccination reproduction number R0 < 1, the disease-free equilibrium is always globally asymptotically stable and in such a case the endemic equilibrium does not exist and the disease can be totally eliminated in the community. However, if R0 > 1, a unique endemic equilibrium exists that is locally asymptotically stable and consequently the equilibrium values of infective, vaccinated and susceptible population can be maintained at desired levels. Numerical simulations implemented on MAPLE using both Adomian decomposition technique and Runge-Kutta integration schemes, support our analytical conclusions and illustrate possible behaviour scenarios of the models.
International Pentecostal Holiness Church, Limpopo Provincial Treasury, National Student Financial Aid Scheme and National Research Foundation
"On the Dynamics of Infectious Diseases in Modern Landscapes: Urban Settings and Drug Resistance". Doctoral diss., 2014. http://hdl.handle.net/2286/R.I.24917.
Dissertation/Thesis
Ph.D. Applied Mathematics for the Life and Social Sciences 2014
"Understanding the Impact of Social Factors on the Transmission Dynamics of Infectious Diseases Across Highly Heterogeneous Risk Environments". Doctoral diss., 2018. http://hdl.handle.net/2286/R.I.49368.
Dissertation/Thesis
Doctoral Dissertation Applied Mathematics for the Life and Social Sciences 2018
Alakesh. "Delineating the dynamics of neutrophil response in multiple inflammatory stimuli and its consequences". Thesis, 2023. https://etd.iisc.ac.in/handle/2005/6141.
Ogut, Hamdi. "Biological and mathematical modeling of dynamics of furunculosis in chinook salmon (Oncorhynchus tshawytscha) and infectious hematopoietic necrosis (IHN) in rainbow trout (Oncorhynchus mykiss)". Thesis, 2001. http://hdl.handle.net/1957/32662.
Graduation date: 2001