Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/25453
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dc.contributor.advisorKleczkowski, Adam-
dc.contributor.advisorde Vries, Frans P-
dc.contributor.authorMcMenemy, Paul-
dc.date.accessioned2017-06-06T14:04:13Z-
dc.date.available2017-06-06T14:04:13Z-
dc.date.issued2017-02-28-
dc.identifier.urihttp://hdl.handle.net/1893/25453-
dc.description.abstractNorovirus (NoV) is a significant cause of gastroenteritis globally, and the consumption of oysters is frequently linked to outbreaks. Depuration is the principle means employed to reduce levels of potentially harmful agents or toxins in shellfish. The aim of this thesis is to construct mathematical models which can describe the depuration dynamics of water-borne pathogens, and specifically examine the dynamics of NoV during depuration for a population shellfish. Legislation is currently under consideration within the EU by the Directorate-General for Health and Consumers (DG SANCO) to limit the maximum level of NoV that consumers are exposed to via this route. Therefore it is important to the utility of the thesis that any models constructed should incorporate control measures which could be used to implement minimum NoV levels. Doing so allowed calculation of minimum depuration times that would be required to adhere to the control measures incorporated into the models. In addition to modelling the impact on pathogens during the depuration, we wished to gain some insight into how the variability, and not just the mean levels, of water-borne pathogens can be as important with respect to the length of depuration required to minimise any food safety risks to the consumer. This proved difficult in the absence of any data sets that can be used to calculate variability measures, as little data is currently available to inform these values for NoV. However, our modelling techniques were able to calculate an upper limit on the variability of water-borne pathogens that can be well approximated by lognormal distributions. Finally we construct a model which provided linkage between the depuration process and the accretion of pathogens by shellfish while still within farming waters. This model proposed that the pulses of untreated waste waters released by sewage treatment works due to high levels of rainfall would be transmitted into shellfish whilst filter-feeding.en_GB
dc.language.isoenen_GB
dc.publisherUniversity of Stirlingen_GB
dc.subjectnorovirusen_GB
dc.subjectshellfishen_GB
dc.subjectoysteren_GB
dc.subjectCrassostrea gigasen_GB
dc.subjectmathematical modelen_GB
dc.subjectlognormalen_GB
dc.subjectvariabilityen_GB
dc.subjectpathogenen_GB
dc.subjectdepurationen_GB
dc.subjectpopulationen_GB
dc.subjectdepuration dynamicsen_GB
dc.subjectworst case variabilityen_GB
dc.subjectcompartmentalisationen_GB
dc.subjectdepuration decayen_GB
dc.subject.lcshVirusesen_GB
dc.subject.lcshViral pollution of wateren_GB
dc.subject.lcshMicrobial contaminationen_GB
dc.subject.lcshFood contaminationen_GB
dc.titleA Mathematical Framework for Designing and Evaluating Control Strategies for Water- & Food-Borne Pathogens : A Norovirus Case Studyen_GB
dc.typeThesis or Dissertationen_GB
dc.type.qualificationlevelDoctoralen_GB
dc.type.qualificationnameDoctor of Philosophyen_GB
dc.rights.embargodate2018-06-30-
dc.rights.embargoreasonRequire time to publish journal papers from my thesis. Could I embargo both electronic and paper copies of my thesis until the date stated below.en_GB
dc.contributor.funderThis research was supported by the University of Stirling via a PhD Impact Collaborative Studentship (Agreement Number DP227R), and the Centre for Environment, Fisheries and Aquaculture Science (CEFAS).en_GB
dc.author.emailpmc@cs.stir.ac.uken_GB
dc.rights.embargoterms2018-07-01-
dc.rights.embargoliftdate2018-07-01-
Appears in Collections:Computing Science and Mathematics eTheses

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