Small area estimates of smoking prevalence in London. Testing the effect of input data

Kerstin Hermes*, Michael Poulsen

*Corresponding author for this work

    Research output: Contribution to journalArticle

    12 Citations (Scopus)

    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.

    Original languageEnglish
    Pages (from-to)630-638
    Number of pages9
    JournalHealth and Place
    Volume18
    Issue number3
    DOIs
    Publication statusPublished - May 2012

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