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Investigating the spatial distribution of campylobacteriosis in New ZealandRind, Esther Christiane January 2007 (has links)
Background Infection with Campylobacter is thought to account for about 5% - 14% of all food and waterborne diarrhoea cases worldwide. By international standards, New Zealand has extremely high rates of campylobacteriosis which are thought to be the highest reported rates worldwide. The incidence has been steadily increasing since 1980 (when the disease became notifiable), reaching a peak of cases in 2003 (396/100,000). Although different surveillance systems complicate international comparisons, New Zealand's particularly high rate still lacks a conclusive explanation. Aims This study investigates the geographical distribution of campylobacteriosis in New Zealand and the relative importance of factors assumed to be affecting the distribution of this disease, including those related to climate, landuse, water and food. The approach aims to explain why certain areas might increase the probability of becoming infected. Methodology A Geographical Information System (GIS) is used to visualise the disease rate, investigate potential disease clustering and identify outliers. Hierarchical regression, including the analysis of residuals, is applied to analyse the variables in their complex interrelation and to investigate whether there is statistical evidence explaining the geographical variation in campylobacteriosis. This study is undertaken at the territorial local authority level, as all required data are available at this spatial scale and covers the period 1997 to 2005. Results and conclusion There is a large geographical variation in campylobacteriosis across New Zealand, ranging from an average annual rate of 97/100,000 to 526/100,000 per territorial local authority (TLA). Generally, there is statistical evidence for global and local clustering of the disease rate. There are upper and lower outliers of campylobacteriosis in New Zealand; however, higher rates primarily appear in the South Island. The hierarchical modelling confirms statistical significance for some of the environmental and sociodemographic variables. The final model explains about 58% of the variation in campylobacteriosis, and the residuals reflect this variation relatively accurately in approximately 75% of all TLAs. Although the evaluation of the results is confronted with a number of challenges, it is concluded that socioeconomic and demographic factors are crucial factors in explaining the observed spatial patterns in the notification data.
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Neurotrophins in the developing and adult rat visual system in vivo and in vitro studiesAvwenagha, Ovokeloye January 2000 (has links)
No description available.
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Hospital medication administration errors - their simulation, observation and severity assessmentDean, Bryony Sandra January 1999 (has links)
No description available.
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The relationship between zooplankton and their physico-chemical environment at the mesoscaleMustard, Alexander T. January 2001 (has links)
No description available.
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The invisible asthmatic : developing geographies of asthma in EnglandMore, Alan January 1998 (has links)
No description available.
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Utilizing auxiliary information in sample survey estimation and analysisSilva, Pedro Luis do Nascimento January 1996 (has links)
No description available.
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Spray diagnostics by laser diffractionJing, Cao January 1989 (has links)
No description available.
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The development and use of a landscape summary method to model the dispersal of invasive plants in BritainCampbell, G. S. January 2000 (has links)
No description available.
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Learning non-linear models of shape and motionBowden, Richard January 2000 (has links)
No description available.
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Decision control and relational norms in the channel dyad : some Norwegian evidenceBakkeland, Gunnar January 1996 (has links)
No description available.
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