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dc.contributor.advisorBellika, Johan Gustav
dc.contributor.advisorHartvigsen, Gunnar
dc.contributor.advisorGeilhufe, Marc
dc.contributor.authorYigzaw, Kassaye Yitbarek
dc.date.accessioned2012-09-04T05:51:32Z
dc.date.available2012-09-04T05:51:32Z
dc.date.issued2012-06-15
dc.description.abstractObjective: This thesis mainly focused on construction of an integrated infectious disease prediction service that predicts and visualizes prediction results in time and space. Methods: We have used weekly aggregated laboratory confirmed cases of various diseases collected from the Snow system, which is an infectious disease surveillance system that covers Troms and Finnmark counties of north Norway. Influenza A dataset is applied for modeling SIR(S) model and various diseases datasets applied to a Bayesian model. The infectious disease prediction service prototype was constructed following an iterative and incremental approach where the entire development process was composed of four activities. Results: The prediction service framework facilitates the process of integrating various models and allows their evaluation. Currently, the system contains two mathematical models that demonstrate the effectiveness of the architecture in integrating new models. Conclusion: The framework can significantly improve the status of disease prediction systems, investment and time of development. It also speeds up mathematical modeling through its integrated environment for testing and evaluating different mathematical models against other existing models. Thus, the project contributes to improve the overall disease prediction accuracy and increase the benefits from prediction. Keywords: Infectious disease, Influenza, Mathematical model, Prediction, Mathematical model evaluation, Spatiotemporal Epidemiological Modeler, Visualization, Integrated infectious disease prediction.en
dc.identifier.urihttps://hdl.handle.net/10037/4402
dc.identifier.urnURN:NBN:no-uit_munin_4120
dc.language.isoengen
dc.publisherUniversitetet i Tromsøen
dc.publisherUniversity of Tromsøen
dc.rights.accessRightsopenAccess
dc.subject.courseIDINF-3997en
dc.subjectVDP::Medical disciplines: 700::Clinical medical disciplines: 750::Communicable diseases: 776en
dc.subjectInfectious diseaseen
dc.subjectInfluenzaen
dc.subjectMathematical modelen
dc.subjectPredictionen
dc.subjectMathematical model evaluationen
dc.subjectSpatiotemporal Epidemiological Modeleren
dc.subjectIntegrated infectious disease predictionen
dc.titleSnow integrated communicable disease prediction serviceen
dc.typeMaster thesisen
dc.typeMastergradsoppgaveen


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