Mathematical modelling in epidemiology - Medicow
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Topic: Mathematical modelling in epidemiology


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 Epidemiology - Psychology Central
Although epidemiology is sometimes viewed as a collection of statistical tools used to elucidate the associations of exposures to health outcomes, a deeper understanding of this science is that of discovering causal relationships.
It is considered a cornerstone methodology of public health research, and is highly regarded in evidence-based medicine for identifying risk factors for disease and determining optimal treatment approaches to clinical practice.
Smoking has been consistently linked to health problems such as lung cancer and coronary heart disease in several large prospective studies, this link has been deemed causal by a complex process of induction, consensus, and modeling.
http://psychcentral.com/psypsych/Epidemiology   (1715 words)

  
 Epidemiology of Infectious Diseases
Recently there has been rapid progress in developing models and new techniques for measurement and analysis, which have been applied to outbreaks and emerging epidemics, such as SARS and avian influenza.
All who need to apply modern methods of analysis in the epidemiology and control of infectious diseases, in medical, veterinary and conservation contexts.
We emphasise how to express biological and clinical principles in a model, and how to interpret results from a biological and clinical perspective.
http://www.imperial.ac.uk/cpd/epidemiology.htm   (1299 words)

  
 Workshop on Mathematical Epidemiology: Abstracts
Modelling contact structures in biology and their application to the dynamics of HIV among prostitution in Tijuana, Mexico
In addition, I will present a strategic model to determine whether or not it is possible to support the possibility that HIV prevalence among prostitutes in Tijuana, Mexico has remained less than one percent according to the official figures of the Mexican Health Department.
The ordinary differential equations for the SIS, SIR epidemic, and SIR endemic models are presented and the behavior of their solutions are explained.
http://www.pims.math.ca/science/1999/bio99/epid.abstracts.html   (4389 words)

  
 BioSS Postgraduate-Current and Recent Projects
The aim of this project is to use models of fibre growth and development to understand how aspects of this process affect the resulting muscles and thereby to enable inference about these processes from one-off tissue sections.
A hierarchical model of boundaries will be constructed, starting with the cradle in which the sheep is constrained, then the body outline within this and the carcase outline, followed by vertebrae, organs and muscles in constrained positions.
Due to their lifestyles, however, marine mammals are inherently difficult to study and so relevant population parameters may not all be well-estimated for any single population of interest.
http://www.bioss.sari.ac.uk/student/currentphd.html   (3310 words)

  
 UT Feature Story -- Predicting the Path of Infectious Diseases: Mathematical modeling traces the spread of SARS and ...
The models then enable researchers to simulate a change in caregiver behavior and project the response in the spread of disease.
Network theory (bottom) allows researchers to build more complex models that take into consideration the contact patterns of individuals.
“Looking at this from a network modeling perspective allowed us to see how important changing the behavior of caregivers is to stopping an outbreak,” Meyers says.
http://www.utexas.edu/features/archive/2003/meyers.html   (1959 words)

  
 Job Listings
Applicants should have a doctorate in epidemiology, genetics, statistical genetics, medicine, or related fields or the equivalent experience and documented expertise; relevant experience after the doctorate; experience in the design, conduct, analysis, interpretation and publication of results from genetic/molecular epidemiologic investigations of cancer; and experience in working collegially on interdisciplinary teams.
Within the Genetics and Epidemiology Cluster (GEC), the successful candidate will be responsible for a research group focusing on the genetic epidemiology of cancer, using both epidemiological and laboratory-oriented approaches.
We seek applicants with training in statistics, epidemiology, and/or genetics and with demonstrated interest in pursuing a career in the genetic analysis of complex disorders.
http://iges.biostat.wustl.edu/jobads.html   (12366 words)

  
 BAPS Homepage
Equilibria are of particular interest, since they should correspond to the stochastic quasi-equilibria which describe what is observed in nature; for many of the models, finding the possible equilibria and establishing conditions for convergence to them are problems which are still entirely open.
Our current focus is on the analysis of host-parasite systems, with particular emphasis on those stochastic models which can be approximated by infinite systems of ODE's.
Diseases for which such an approach seems relevant include schistosomiasis and echinococcosis.
http://www.math.unizh.ch/~baps/research   (738 words)

  
 Heterozygote excess is repeatedly observed in females at the BRCA2 locus N372H -- Teare et al. 41 (7): 523 -- Journal ...
Mathematical analysis of conditions necessary for a stable polymorphism
Our analysis will involve the use of a random effects model.
Heterozygote excess is repeatedly observed in females at the BRCA2 locus N372H
http://jmg.bmjjournals.com/cgi/content/full/41/7/523   (2918 words)

  
 FOREWORD
Over the past decade Risk Analysis, a process consisting of risk assessment, risk management and risk communication, has emerged as a structured model for improving our food control systems with the objectives of producing safer food, reducing the numbers of foodborne illnesses and facilitating domestic and international trade in food.
Fortunately new tools, which can facilitate actions, seem to be on their way.
Risk assessment is the science based component of risk analysis.
http://www.fao.org/DOCREP/005/Y4393E/y4393e05.htm   (767 words)

  
 New Zealand Mathematical Societu Newsletter Number 84, April 2002
Peter Johnstone (AgResearch), "The Application of Mixed Models to the Analysis of Micro-Array Experiments".
Now AWCMEE have the opportunity to develop the mathematical applications in Ecology and Evolution.
Mark Bebbington spent the last week of November in Melbourne, working with Kostya Borovkov on conditions for stability of multidimensional piecewise deterministic Markov processes, (and not watching one day of the Davis cup final).
http://ifs.massey.ac.nz/mathnews/Nzms84/news84.htm   (7833 words)

  
 Wiley::Mathematical Epidemiology of Infectious Diseases: Model Building, Analysis and Interpretation
Model assumptions are formulated in terms of, usually stochastic, behaviour of individuals and then the resulting phenomena, at the population level, are unravelled.
Model construction, analysis and interpretation receive detailed attention
The mathematical modelling of epidemics in populations is a vast and important area of study.
http://www.wiley.com/WileyCDA/WileyTitle/productCd-0471986828.html   (350 words)

  
 PHRG homepage
Quantitative Environmental Health Impact Assessment, a study to develop the application of epidemiology and mathematical modelling in health impact assessment, in association with ERM-UK Ltd and UCL Clinical Operational Research Unit.
An epidemiology study of social relationships as determinants of health: formulating a new psychosocial approach
The Group also seeks to collaborate within UCL on public health issues, including understanding policies and interventions against inequalities in health, collaborating on environment and health, and contributing to training in public health.
http://www.ucl.ac.uk/public-health   (306 words)

  
 The Science Advisory Board
Gavrilov L.A., Gavrilova N.S., Epidemiology of human longevity: The search for appropriate methodology, Journal of Anti-Aging Medicine, 4(1), 13-30, 2001
Gavrilov LA, Gavrilova NS, Iaguzhinskii LS, Basic patterns of aging and death in animals from the standpoint of reliability theory, Journal of General Biology [Zhurnal Obshchei Biologii], 39(5), 734-42, 1978 [Medline PMID: 716614]
Social Medicine Seminar Programme, Bristol, UK Invited talk: -- 'Epidemiology of Human Longevity',
http://www.scienceboard.net/forum/pop_profile.asp?mode=display&id=54707   (4173 words)

  
 GIS Europe - Feb 2000 - Geofocus: GIS and health
That interest is no longer confined to medical specialists, and public awareness of health-related issues underlines the need for mechanisms that can link, manipulate and visualise data coming from many diverse sources (12).
EMILIO FORCEN and ANTONIO SALAZAR explain how a collaborative GIS venture between health professionals, cartographers and computer specialists is putting theory into practice in Spain's Valencia Province
This was followed by the development of mathematical models (2)(3)(4) and the refinement of spatial modelling and analytical routines (5-11) to gain a greater understanding of the spatial dynamics of diseases.
http://www.geoplace.com/ge/2000/0200/0200he.asp   (912 words)

  
 Applied Mathematical Modelling - School of Physical, Environmental and Mathematical Sciences (PEMS) - UNSW@ADFA
Brief Description: We utilize methods and techniques from nonlinear dynamics theory to investigate complex real-world phenomena such as population interactions, dynamics of shallow estuaries under drought conditions, forced oscillations and the dynamics of molecular motion.
Mathematical modelling is used in the research project to study the spread of infectious diseases and the effects of control interventions such as vaccination and quarantine.
This is a new research area for the School which grew out of using Epidemiology as an application in teaching.
http://www.adfa.oz.au/pems/research/appl_math_mod.html   (974 words)

  
 Newsletter Item
Mathematics as the language of science underpins almost all scientific and business applications of the Grid.
Mathematics, in particular the discrete mathematics and logic which underpin computer science, provides the tool for understanding and modelling the Grid itself, for example new techniques for resource allocation and modelling, handling and mining data or modelling network infrastructure.
This identifies e-Science research opportunities in: mathematical modelling, scientific computation, numerical mathematics, analysis, linear algebra, inverse methods, control theory, variational methods, symbolic computation, computational logic, discrete mathematics, graph theory, operations research, economic mathematics, stochastic analysis, algorithms and applied semantics.
http://www.lms.ac.uk/newsletter/0306/articles.html   (1752 words)

  
 RIVM - Mathematical Modelling
For an effective control of infectious diseases, it is necessary to develop and assess the effects of prevention and intervention strategies to support optimal policy making.
Increasigly, mathematical methods and models are being used for quantitative analysis of infections data and the possible effects of intervention.
Examples are the analysis of effects of vaccionation on the incidence of infectious diseases, or estimates of how many persons and in which population groups should be vaccinated to control an outbreak.
http://rivm.nl/en/aboutrivm/organization/cib/cie/mathematical_modelling.jsp   (104 words)

  
 Susceptible - Wikipedia, the free encyclopedia
Some individuals may have a natural resistance to a particular infectious disease.
Susceptibles have been exposed to neither the wild strain of the disease nor a vaccination against it, and thus have not developed immunity.
In epidemiology a susceptible individual (sometimes known simply as a susceptible) is a member of a population who is at risk of becoming infected by a disease, if they are exposed to the infectious agent.
http://en.wikipedia.org/wiki/Susceptible   (362 words)

  
 Epidemiology, HIV and drugs: mathematical models and data.
These collaborations may aid in the design and the evaluation of effective behavioural or medical intervention strategies.
Epidemiology, HIV and drugs: mathematical models and data.
We emphasize the need for collaborative relationships between modellers and drug-use researchers, and we stress that models should be based on data in both their formulation and development stages.
http://www.aegis.com/aidsline/1992/jul/M9270599.html   (371 words)

  
 index
Malaria strains have become resistant to most of the available drugs.
We are attempting to understand how drug resistance develops through mathematical modelling and molecular epidemiology.
Malaria in pregnancy Malaria has a profound effect on pregnant women and is a frequent cause of the delivery low-birth weight infants.
http://www.sph.umich.edu/~meshnick   (143 words)

  
 Elegance in developmental biology
The spectacular success of modern genetic techniques in uncovering developmental mechanisms has led to a widespread belief that theory is no longer very relevant.
Recent examples of data driven modelling, however, point to new roles for theoretical approaches in exploring important issues such as the robustness and evolution of pattern forming mechanisms.
Mathematical Modelling and Genetic Epidemiology Group, Division of Genomic Medicine, University of Sheffield, Royal Hallamshire Hospital, Sheffield, S10 2JF
http://www.dcs.shef.ac.uk/~nmonk/abstracts/elegant.html   (136 words)

  
 - Vol 27 No 1, March 2003
Diagnoses of infections with human immuno-deficiency virus (HIV) and acquired immune deficiency syndrome (AIDS) are reported directly to the National Centre in HIV Epidemiology and Clinical Research (NCHECR).
Finally, it was estimated that 22,500 quality adjusted life years will have been lost in Australia in 2001 due to chronic hepatitis   C infection, the majority (77%) in people with early (stage 0/1) liver disease.
These models suggest that by 2020 the prevalence of hepatitis   C related cirrhosis and the incidence of hepatitis   C related liver failure and hepatocellular carcinoma will more than triple in Australia.
http://www.health.gov.au/internet/wcms/publishing.nsf/Content/cda-pubs-cdi-2003-cdi2701-htm-cdi2701a9.htm   (3128 words)

  
 OUP: Infectious Diseases of Humans: Anderson
More in the same subject area: Applied ecology; Human ecology; Animal pathology & diseases PSTP MMFM; Medical parasitology; Epidemiology & medical statistics; Infectious & contagious diseases; Tropical medicine; Ecological science, the Biosphere
Their distinctive contribution has been to show the practice and far-reaching power of mathematical modelling in epidemiology, fully set out here for the first time.
It provides an analytical framework for evaluating public health measures aimed at eradicating or controlling communicable diseases such as malaria, measles, river blindness, sleeping sickness, schistosomiasis, and AIDS.
http://www.oup.co.uk/isbn/0-19-854040-X?view=00   (287 words)

  
 Mathematical Modelling and Genetic Epidemiology Group (MMGE)
Please contact one of us if you are interested in our research.
The research interests of the group cover a wide range of mathematical areas and their application to cellular and molecular processes and various aspects of genetic epidemiology, in particular "gene-hunting" for complex diseases (Rheumatoid Arthritis, Celiac disease, psoriasis, NIDDM etc.).
The Mathematical Modelling and Genetic Epidemiology Group is part of the Section of Genetics and Informatics in the Division of Genomic Medicine.
http://www.shef.ac.uk/mmge   (151 words)

  
 [No title]
Division of Epidemiology, Public Health and Primary Care, Medicine
I organise, with Dr Christophe Fraser, Imperial College's professional Short Course on Epidemiology of Infectious Diseases that is aimed at public health professionals, policy-makers and researchers who want to learn about modern methods including mathematical modelling.
My current research interests are in mathematical modelling of the epidemiology of sexually transmitted infections – including HIV – and the impact of health-care interventions.
http://www1.imperial.ac.uk/medicine/people/p.white.html   (925 words)

  
 Adam Kleczkowski's work page
My work has been motivated by the wish to explore biological and ecological systems.
The leading theme is an application of mathematical methods to model natural systems in order to understand complicated processes, with a possible view to be able to influence some of them.
However, since then I have been working as a mathematical biologist, first at the Research Center, Julich, and later at the University of Cambridge, England.
http://homepages.tesco.net/~adamk/work/work/work.htm   (564 words)

  
 UNB Biology Graduate Academic Unit
Mathematical modelling, epidemiology, ecology, spatial and behavioural heterogeneities.
http://www.unbsj.ca/sase/biology/gradstudies/BiologyGAU.htm   (414 words)

  
 Science paper
There are more papers to come on this and similar ecological subjects !
Although Kathy Willis works now in Oxford, the projects on the mathematical data analysis and modelling continue in the Botanical Epidemiology and Mathematical Modelling Group of Chris Gilligan.
The paper in Science and the previous paper in Nature are a result of a successful collaboration between Kathy Willis (now at Oxford, formerly at the Department and afterwards at the Godwin Institute for Quaternary Research in Cambridge) and Adam Kleczkowski, spanning the last 2 years.
http://homepages.tesco.net/~adamk/work/work/science.htm   (320 words)

  
 Sergey Rudnev's Home Page
Mathematical modelling of epidemiology and pathogenesis of tuberculosis.
Mathematical models, data analysis, and numerical experiments (Eds.
Rudnev S.G. Mathematical modelling of defensive immunophysiological reaction in pneumonia.
http://immunol.inm.ras.ru/personal/rdnv.htm   (956 words)

  
 Mathematical modelling in epidemiology - Wikipedia, the free encyclopedia
Assuming that life expectancy has not changed, now:
Whenever we are modelling anything mathematically, whether in epidemiology or otherwise, we would be wise to remember that a mathematical model is only as good as the assumptions on which it is based.
If a model makes predictions which are out of line with observed results and the maths is correct, we must go back and change our initial assumptions in order to make the model useful.
http://en.wikipedia.org/wiki/Mathematical_modelling_in_epidemiology   (1374 words)

  
 Mathematical modelling of health impacts -- Mindell and Joffe 59 (8): 617 -- Journal of Epidemiology and Community ...
Mathematical modelling of health impacts -- Mindell and Joffe 59 (8): 617 -- Journal of Epidemiology and Community Health
Journal of Epidemiology and Community Health 2005;59:617-618; doi:10.1136/jech.2005.034355
the lack of studies of interventions necessary to underpin modelling
http://jech.bmjjournals.com/cgi/content/extract/59/8/617   (246 words)

  
 Find in a Library: Mathematical modelling with Chernobyl registry data : registry and concepts
Mathematical modelling with Chernobyl registry data : registry and concepts
Radiation injuries -- Patients -- Registers -- Mathematical models.
Radioactive pollution -- Health aspects -- Mathematical models.
http://worldcatlibraries.org/wcpa/ow/0259adc8975b7111a19afeb4da09e526.html   (97 words)

  
 STAMS, University of Strathclyde, UK: Research Interests
Risk analysis and mathematical modelling in veterinary and public health
Statistical models in epidemiology; regional variation in disease risk; meta analysis; stochastic models in infectious disease and vaccinations
Statistics, mathematical modelling and epidemiology of animal and human diseases
http://www.stams.strath.ac.uk/staff/interests.php   (155 words)

  
 Environmental Mathematics and Statistics - Stochastic Population Models in Epidemiology and Ecology Workshop
Workshop on Inference for Stochastic Population Models in Epidemiology and Ecology
This workshop will bring together researchers from the fields of infectious epidemiology, ecology, stochastic modelling, mathematical biology and statistics with an interest in inference for stochastic models of population processes.
There remains great potential to extend the approach to new classes of models, to open up new areas of application, and to address methodological questions such as experimental design for nonlinear stochastic systems.
http://www.ma.hw.ac.uk/icms/ems/epideco   (223 words)

  
 Mathematical Epidemiology of Infectious Diseases by O. Diekmann, J. A. P. Heesterbeek, New, Used Books, Cheap Prices, ...
Mathematical Theory of Infectious Diseases (By Lubrecht & Cramer)
Mathematical modelling of epidemics is a vast and important area of study and this book helps the reader to translate, model, analyse and interpret, with numerous applications, examples and exercises to aid understanding.
Provides systematic coverage of the mathematical theory of modelling epidemics in populations, with a clear and coherent discussion of the issues, concepts and phenomena.
http://www.bookfinder4u.com/detail/0471986828.html   (296 words)

  
 Epidemiology and Modelling Group
Plant and Microbial Sciences Previously contributed lectures and practicals on Epidemiology and Modelling to IB Plant Science students.
This research involves a synthesis of epidemiological theory, population genetics, landscape ecology and economic modelling as well as a complementary experimental programme to test the models.
Quantitative Biology Responsible for 60 lecture course with practicals on the application of mathematics to biological problems for students with A/AS level mathematics.
http://www-epidem.plantsci.cam.ac.uk/cag.html   (624 words)

  
 Reappraisal of the historical selective pressures for the CCR5-{Delta}32 mutation -- Duncan et al. 42 (3): 205 -- ...
A mathematical model based on the changing demography
http://jmg.bmjjournals.com/cgi/content/abstract/42/3/205   (165 words)

  
 Leach
We examine the integrability, in terms of the Painlev\'e singularity analysis and of the Lie symmetry analysis, of systems of nonlinear first-order ordinary di®erential equations which arise in the particular area of Mathematical Modelling known as Rational Epidemiology.
These analyses are presented as being complementary to the standard analysis using the method of Dynamical Systems.
Application of symmetry and singularity analyses to systems of first-order equations arising from mathematical modelling in epidemiology
http://www.imath.kiev.ua/~snmp2003/abstract2003/Leach.html   (132 words)

  
 An introduction to mathematical models in sexually transmitted disease epidemiology -- Garnett 78 (1): 7 -- Sexually ...
Surveillance and modelling of HIV, STI, and risk behaviours in concentrated HIV epidemics
Investigating ethnic inequalities in the incidence of sexually transmitted infections: mathematical modelling study
An introduction to mathematical models in sexually transmitted disease epidemiology
http://sti.bmjjournals.com/cgi/content/abstract/78/1/7   (161 words)

  
 Current Science of SARS Symposium
Including virology, epidemiology and mathematical modelling, animal reservoirs and environmental sources, clinical presentation and management, nosocomial transmission and infection control, laboratory diagnosis, public health measures, social, psychological and economic impact and vaccine development.
http://www.canvacc.org/pdf/SARSsymposium.htm   (351 words)

  
 Amazon Shop - Mathematical Modelling
Quantitative Modeling of Derivative Securities: From Theory to Practice (17/09/1999)
Volterra-Hamilton Models in the Ecology and Evolution of Colonial Organisms (World Scientific Series in Mathematical Biology & Medicine) (31/08/1996)
Mathematical Models in Biology (Classics in Applied Mathematics S.) ()
http://www.uksprite.com/store/cats-48237-5.html   (187 words)

  
 MA469 Project
Research (R-Projects) for students planning to take their mathematics studies further, most likely registering for a research degree.
The amount of work and effort undertaken: This might be evidenced by the breadth and depth of your reading and research in the literature, the organisation and presentation of the material, new skills you acquired (e.g.
to give you a deeper appreciation of how mathematics underpins the modern world.
http://www.maths.warwick.ac.uk/undergrad/pydc/mauve/mauve-MA469.html   (1591 words)

  
 Peeyush Chandra
Mathematical Modelling in Fluid Sciences (Biofluid Mechanics; Tribology)
A mathematical model to study the effect of toxic chemicals on a prey-predator type fishery, JOURNAL OF BIOLOGICAL SYSTEMS, Vol.
A model for fishery resource with reserve area, JOURNAL OF NONLINEAR ANALYSIS: Series B Real World Applications, ACCEPTED 2003.
http://www.iitk.ac.in/math/faculty/peeyush   (217 words)

  
 Commentary: Modelling the epidemiology of hepatitis C and its complications -- Armstrong 32 (5): 725 -- International ...
as incidence in the future, which no model can forecast reliably.
These US models are consistent in showing an increase in incidence
With this estimate and a model of the natural history of HCV
http://ije.oxfordjournals.org/cgi/content/full/32/5/725   (1442 words)

  
 03/IAH/34
Research within the epidemiology division will focus on how viruses, including foot-and-mouth disease (FMD), evolve to form new strains; the role of midges in the spread of diseases such as bluetongue; the spread of scrapie in UK sheep; and tracking and predicting the spread of diseases by mathematical modelling.
The Institute for Animal Health (IAH) is the largest research institute in the United Kingdom dedicated to the study of infectious diseases of farm animals.
Dr Baylis joined the Institute in 1993 as a postdoctoral researcher, and became a research group leader in 2000.
http://www.iah.bbsrc.ac.uk/news/2003IAH34.htm   (306 words)

  
 Recombination Can Evolve in Large Finite Populations Given Selection on Sufficient Loci -- Iles et al. 165 (4): 2249 -- ...
Note that the model used does not require any special conditions
Increased rates of recombination may also evolve if there is
Our model is limited by not investigating the effects of mutation
http://www.genetics.org/cgi/content/full/165/4/2249   (5208 words)

  
 ZiF: The Sciences of Complexity: From Mathematics to Technology to a Sustainable World
Fields of Research: Agent-based modeling of complex systems, self-organization theory
Fields of Research: Dynamical systems, Percolation theory, Self-organized criticality, Mathematical modelling in epidemiology and immunology
Fields of Research: Dynamical modelling of large assemblies of interacting agents, New supervised and unsupervised learning techniques in neural and automata networks, Exploration of the principles of information processing in the immune system for applications in fault detection in engineering systems, Development of fuzzy models applying the immunological learning mechanisms to automatic rule acquisition
http://www.uni-bielefeld.de/ZIF/FG/2000Complexity/participants.html   (3678 words)

  
 mathematical notation - definition of mathematical notation by the Free Online Dictionary, Thesaurus and Encyclopedia.
This information should not be considered complete, up to date, and is not intended to be used in place of a visit, consultation, or advice of a legal, medical, or any other professional.
mathematical statement - a statement of a mathematical relation
parenthesis-free notation - a notation for forming mathematical expressions that does not use parentheses to delimit components
http://www.thefreedictionary.com/mathematical+notation   (342 words)

  
 Massey University
Member of the WHO SARS Modelling Working Group.
AgResearch: epidemiology and control of bovine tuberculosis in possums.
Ministry of Health: measles vaccination schedule; pertussis control; epidemiology of diabetes, physical inactivity and obesity; risks from importation of smallpox and SARS.
http://www.massey.ac.nz/~wwiims/people/m.g.roberts   (83 words)

  
 Dr Geoff Aldis - Staff Page - School of Physical, Environmental and Mathematical Sciences (PEMS) - UNSW@ADFA
Barry SI and Aldis GK, Comparison of models for flow induced deformation of soft biological tissue, J.
I first started off studying Medicine at Sydney University and did an Honours Degree in Pathology half-way through.
Research Interests: Applied Mathematical Modelling - Mathematical Epidemiology
http://www.adfa.oz.au/pems/research/aldis   (799 words)

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