Publications by authors named "Christine E Dunn"

Objective: To assess the effectiveness of 2 interventions in improving the physical activity and well-being of secondary school children.

Design: A clustered randomised controlled trial; classes, 1 per school, were assigned to 1 of 3 intervention arms or a control group based on a 2×2 factorial design. The interventions were peer-mentoring and participative learning.

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Most malaria risk reduction strategies are firmly embedded in biomedical practices and public health perspectives. National and international programmes to 'control' malaria are particularly characterised by the promotion of public health interventions which converge on the disease vector, the malaria mosquito, notably through the use of indoor household spraying with insecticides, and the deployment of insecticide-treated bednets (ITNs). With convincing evidence for the effectiveness of ITNs in reducing the incidence of malaria, control programmes have emphasised the notion of 'scaling-up' bednet coverage.

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Recent years have witnessed important advances in the analysis of spatially referenced health data. This paper uses GIS and point pattern modelling to address previously unanswered questions regarding the spatial epidemiology of Legionnaires' disease. We demonstrate a distance effect for proximity of residence to cooling towers; mixed support for a directional effect; and some evidence relating to multiple sources.

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Besides its toxicity, groundwater arsenic contamination creates widespread social problems for its victims and their families in Bangladesh. There is, for instance, a tendency to ostracise arsenic-affected people, arsenicosis being thought of as a contagious disease. Within the community, arsenic-affected people are barred from social activities and often face rejection, even by their immediate family members.

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Despite examples showing the usefulness of geographical information systems (GIS) and spatial point pattern analysis in health research, there remain barriers to their widespread use within health service settings. This paper explores potential users' views on the relative usefulness of such approaches for analysing spatially referenced environmental health data. Our findings indicate that researchers and practitioners do not always prefer the approach with which they are most familiar.

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We investigated how public perceptions of the links between air pollution and health varied with contextual factors describing individuals and their locality. Information was collected via postal surveys on 2744 adults resident in five neighborhoods in Northeast England. Perceptions were compared by individual factors (health status, age, and gender) and locality factors (relative deprivation, proximity to industry and district-Teesside or Sunderland, with different amounts of heavy industry).

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Arsenic poisoning in Bangladesh has been one of the biggest environmental health and social disasters of recent times. About seventy million people in Bangladesh are exposed to toxic levels of arsenic (0.05 mg/L) in drinking water.

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We set out to explore potential influences on public views about urban air quality in two different, but geographically close, districts in North-East England via a postal survey. The neighborhoods surveyed were chosen to contrast material deprivation, proximity to industry, and two districts (Teesside and Sunderland), and the respondents within them were contrasted by their gender, age, and illness status. The strongest influences on views about local air quality were found to be proximity to industry, residence in Teesside, and, to a lesser extent, age and illness status.

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