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In response to the global threats of emerging infectious diseases and bioterrorism events, public health surveillance developed analytical methods to cluster early health indicators from multiple data sources into “syndromes” for rapid and efficient disease detection. Syndromic surveillance has ...
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Syndromic surveillance is a tool for continuous, automated extraction of surveillance information from health data sources. The research documented in this dissertation aimed at exploring informatics and data mining tools in order to develop and implement techniques to harvest additional surveillanc...
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Approximately 60% of human pathogens and emerging infectious diseases are zoonotic. Simulation models are increasingly being used to investigate the spread of diseases, evaluate intervention strategies and guide the decisions of policy makers. In this thesis a systematic review of modeling methods a...
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Modelling is a useful tool that has been applied in both human and animal epidemiological research. A model is a simplified system that represents a much more complex phenomenon. Various types of models are available. They are generally used for the purposes of explaining phenomena, making predictio...
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Resistance development to parasiticides has been a problem in both terrestrial and aquatic environments. A major challenge exists in early detection of resistance emergence due to the low frequency at which resistant organisms can occur initially within a population and the difficulty in detecting t...