Mathematical modelling of health impacts

[...]good quality primary studies on the effects of change. 5 Even where there is good evidence of a causal relation, reversibility cannot be assumed 7 : as a quantified illustration, the magnitude of the effect of a rise or a fall in cigarette price on cigarette consumption (the elasticities) diffe...

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Published inJournal of epidemiology and community health (1979) Vol. 59; no. 8; pp. 617 - 618
Main Authors Mindell, Jennifer, Joffe, Mike
Format Journal Article
LanguageEnglish
Published England BMJ Publishing Group Ltd 01.08.2005
BMJ Publishing Group
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ISSN0143-005X
1470-2738
DOI10.1136/jech.2005.034355

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Summary:[...]good quality primary studies on the effects of change. 5 Even where there is good evidence of a causal relation, reversibility cannot be assumed 7 : as a quantified illustration, the magnitude of the effect of a rise or a fall in cigarette price on cigarette consumption (the elasticities) differ. 8 In relation to socioeconomic inequalities, while cross sectional studies of unemployment and health are subject to direct and indirect selection effects, 9 factory closure studies overcome this problem, 10 but do not directly answer the question, "how much health gain would be expected from the creation of a certain number of jobs?"-which arises frequently in the context of health impact assessment.
Bibliography:PMID:16020634
Mathematical modelling is seldom applied to research of global measures of health or health inequalities mainly because of the lack of studies of interventions necessary to underpin modelling research.
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Correspondence to:
 Dr J Mindell
 Department of Epidemiology and Public Health, University College London, 1–19 Torrington Place, London WC1E 6BT, UK
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ISSN:0143-005X
1470-2738
DOI:10.1136/jech.2005.034355