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Titolo:
Modelling exposure opportunities: estimating relative risk for motor neurone disease in Finland
Autore:
Sabel, CE; Gatrell, AC; Loytonen, M; Maasilta, P; Jokelainen, M;
Indirizzi:
Univ Lancaster, Inst Hlth Res, Lancaster LA1 4YT, England Univ Lancaster Lancaster England LA1 4YT Res, Lancaster LA1 4YT, England Univ Lancaster, Dept Geog, Lancaster LA1 4YB, England Univ Lancaster Lancaster England LA1 4YB eog, Lancaster LA1 4YB, England Univ Helsinki, Dept Geog, FIN-00014 Helsinki, Finland Univ Helsinki Helsinki Finland FIN-00014 og, FIN-00014 Helsinki, Finland Univ Helsinki, Dept Med, FIN-00014 Helsinki, Finland Univ Helsinki Helsinki Finland FIN-00014 ed, FIN-00014 Helsinki, Finland Paijat Hame Cent Hosp, Dept Neurol, FIN-15850 Lahti, Finland Paijat Hame Cent Hosp Lahti Finland FIN-15850 , FIN-15850 Lahti, Finland
Titolo Testata:
SOCIAL SCIENCE & MEDICINE
fascicolo: 7-8, volume: 50, anno: 2000,
pagine: 1121 - 1137
SICI:
0277-9536(200004)50:7-8<1121:MEOERR>2.0.ZU;2-D
Fonte:
ISI
Lingua:
ENG
Soggetto:
MULTIPLE-SCLEROSIS; RATES;
Keywords:
GIS; cluster detection; motor neurone disease (MND); kernel estimation; space-time clustering; Finland;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Social & Behavioral Sciences
Citazioni:
29
Recensione:
Indirizzi per estratti:
Indirizzo: Gatrell, AC Univ Lancaster, Inst Hlth Res, Lancaster LA1 4YT, England UnivLancaster Lancaster England LA1 4YT er LA1 4YT, England
Citazione:
C.E. Sabel et al., "Modelling exposure opportunities: estimating relative risk for motor neurone disease in Finland", SOCIAL SC M, 50(7-8), 2000, pp. 1121-1137

Abstract

This paper addresses the issues;surrounding an individual's exposure to potential environmental risk factors, which can be implicated in the aetiology of a disease. We hope to further elucidate the 'lag' or latency period between the initial exposure to potential pathogens and the physical emergence of the disease, with specific reference to the rare neurological condition, motor neurone disease (MND), using a dataset obtained from the Finnish Death Certificate registry, for MND deaths between the period 1985-1995. A space-time approach is adopted, whereby patterns in both time and space are considered. No prior assumptions about the aetiology of MND are adopted, Byusing methods for the analysis of point processes, which preserve the continuous nature of the data, we resolve some of the problems of analysis thatare often based on arbitrary areal units, such as postcode boundaries, or political boundaries. We use kernel estimation to model space-time patterns. Raised relative risk is assessed by adopting appropriate adjustments for the underlying population at risk, with the use of controls. Significance of the results is assessed using Monte Carlo simulation, and comparisons are made with results obtained from Openshaw's geographical analysis machine (GAM). Our results demonstrate the utility of kernel estimation as a visualisation tool. Small areas of elevated risk are identified, which need to be more closely examined before any firm conclusions can be drawn. We highlight a number of issues concerning the inadequacies of the data, and possibly of the techniques themselves. (C) 2000 Elsevier Science Ltd. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 29/11/20 alle ore 03:34:10