Journal of epidemiology and community health
-
J Epidemiol Community Health · Mar 2002
Provision of services to asylum seekers. Are there lessons from the experience with Kosovan refugees?
Arrangements that were made to receive and support Kosovan refugees in the United Kingdom should be applied to asylum seekers arriving in the country.
-
J Epidemiol Community Health · Feb 2002
Multilevel modelling of aircraft noise on performance tests in schools around Heathrow Airport London.
To examine the effects of chronic exposure to aircraft noise on children's school performance taking into account social class and school characteristics. ⋯ Chronic exposure to aircraft noise is associated with school performance in reading and mathematics in a dose-response function but this association is confounded by socioeconomic factors.
-
J Epidemiol Community Health · Dec 2001
Multicenter StudyThe dynamics of heroin use; implications for intervention.
To use a readily available dataset to detect periods of epidemic change and to examine the progression of heroin epidemics in different geographical areas. To consider the implications of epidemic change for strategies to tackle drug misuse. ⋯ These analyses show how areas may differ with respect to epidemic progression of heroin use. It is essential that government strategies, and local responses to these, should be cognisant of these dynamics.
-
Causation is an essential concept in epidemiology, yet there is no single, clearly articulated definition for the discipline. From a systematic review of the literature, five categories can be delineated: production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic. Strengths and weaknesses of these categories are examined in terms of proposed characteristics of a useful scientific definition of causation: it must be specific enough to distinguish causation from mere correlation, but not so narrow as to eliminate apparent causal phenomena from consideration. ⋯ In debates in the literature over these goals, proponents of epidemiology as pure science tend to favour a narrower deterministic notion of causation models while proponents of epidemiology as public health tend to favour a probabilistic view. The authors argue that a single definition of causation for the discipline should be and is consistent with both of these aims. It is concluded that a counterfactually-based probabilistic definition is more amenable to the quantitative tools of epidemiology, is consistent with both deterministic and probabilistic phenomena, and serves equally well for the acquisition and the application of scientific knowledge.