title: Small area estimates of smoking prevalence in London. Testing the effect of input data.
abstract: Small area estimates (SAEs) can provide information about health behaviour at small area levels that is otherwise not available. Because of its increasing use by policy makers, more attention needs to be paid to the reliability of these estimates. This paper reports on smoking prevalence data generated for London at the neighbourhood level using spatial microsimulation modelling. We test the reliability of smoking prevalence estimates at the neighbourhood level using different input datasets. The paper further underlines the importance of estimating health behaviours at the small area level, particularly in diverse cities such as London, where estimation at the city level can mask significant spatial differences.
authors.affiliation: Department of Environment and Geography, Macquarie University, NSW 2109, Australia. kerstin.hermes@mq.edu.au
authors.forename: Kerstin
authors.initials: K
authors.lastname: Hermes
authors.forename: Michael
authors.initials: M
authors.lastname: Poulsen
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D002648:Child; D003625:Data Collection; D005260:Female; D006801:Humans; D008131:London / Q000453:epidemiology; D008297:Male; D008875:Middle Aged; D011159:Population Surveillance / Q000379:methods; D017062:Small-Area Analysis; D012907:Smoking / Q000453:epidemiology*