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Dianna M Smith

Biographic Data

ID3719794
NAMEDianna M Smith
GIVEN NAMESDianna M
FAMILY NAMESmith
SIGNATURESMITH D M
AFFILIATIONSUniversity of London
VERIFIEDNo
TOTAL WORKS6
TOTAL CITATIONS30
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2008
LATEST PUBLICATION YEAR2013
H-INDEX4
  • Alcohol licensing data

    Open Access•David K Humphreys, D Smith et al.•ARTICLE•Health & Place•2013•Cited by: 4

  • Can a deterministic spatial microsimulation model provide reliable small-area estimates of health behaviours? An example of smoking prevalence in New Zealand

    Open Access•D Smith, Dianna M Smith et al.•ARTICLE•Health & Place•2011•Cited by: 11•References: 6

  • Variations in fresh fruit and vegetable quality by store type, urban–rural setting and neighbourhood deprivation in Scotland

    Open Access•Steven Cummin, Steven Cummins et al.•ARTICLE•Public Health Nutrition•2009

    Objective Neighbourhood differences in access to fresh fruit and vegetables may explain social inequalities in diet. Investigations have focused on variations in cost and availability as barriers to the purchase and consumption of fresh produce; investigations of quality have been neglected. Here we investigate whether produce quality systematically varies by food store type, rural–urban location and neighbourhood deprivation in a selection of co…

  • Obese Cities

    Open Access•D Smith, Dianna M Smith et al.•ARTICLE•Geography Compass•2009•Cited by: 8•References: 72

    The rapid rise in obesity rates over the last 30 years has profound implications for the health of populations. That this rise has occurred over a relatively short biological time scale suggests that changes in the environments to which we are exposed may be to blame, rather than individual genetic endowment. Focusing on developed world nations, this article briefly reviews this emerging 'ecological' perspective in the search for the causes of ob…

  • Improving the Synthetic Data Generation Process in Spatial Microsimulation Models

    Open Access•D Smith, Dianna M Smith et al.•ARTICLE•Environment and Planning A…•2009•Cited by: 6•References: 15

    Simulation models are increasingly used in applied research to create synthetic micro-populations and predict possible individual-level outcomes of policy intervention. Previous research highlights the relevance of simulation techniques in estimating the potential outcomes of changes in areas such as taxation and child benefit policy, crime, education, or health inequalities. To date, however, there is very little published research on the creati…

  • Size matters

    Open Access•Kimberley L Procter, D Smith et al.•ARTICLE•Area•2008•Cited by: 1•References: 9

    Often when research labelled as health geography is introduced, there follows an implicit assumption that it deals with inequalities in health care/provision/outcomes across space. Place is clearly important when considering public health and social inequalities, which led in part to the development of health geography from the more traditional medical geography (Kearns 1993). The understanding of place effects on individual health could help to …

  • Can a deterministic spatial microsimulation model provide reliable small-area estimates of health behaviours? An example of smoking prevalence in New Zealand

    Open Access•D Smith, Dianna M Smith et al.•ARTICLE•Health & Place•2011•Cited by: 11•References: 6

  • Obese Cities

    Open Access•D Smith, Dianna M Smith et al.•ARTICLE•Geography Compass•2009•Cited by: 8•References: 72

    The rapid rise in obesity rates over the last 30 years has profound implications for the health of populations. That this rise has occurred over a relatively short biological time scale suggests that changes in the environments to which we are exposed may be to blame, rather than individual genetic endowment. Focusing on developed world nations, this article briefly reviews this emerging 'ecological' perspective in the search for the causes of ob…

  • Improving the Synthetic Data Generation Process in Spatial Microsimulation Models

    Open Access•D Smith, Dianna M Smith et al.•ARTICLE•Environment and Planning A…•2009•Cited by: 6•References: 15

    Simulation models are increasingly used in applied research to create synthetic micro-populations and predict possible individual-level outcomes of policy intervention. Previous research highlights the relevance of simulation techniques in estimating the potential outcomes of changes in areas such as taxation and child benefit policy, crime, education, or health inequalities. To date, however, there is very little published research on the creati…

  • Alcohol licensing data

    Open Access•David K Humphreys, D Smith et al.•ARTICLE•Health & Place•2013•Cited by: 4

  • Size matters

    Open Access•Kimberley L Procter, D Smith et al.•ARTICLE•Area•2008•Cited by: 1•References: 9

    Often when research labelled as health geography is introduced, there follows an implicit assumption that it deals with inequalities in health care/provision/outcomes across space. Place is clearly important when considering public health and social inequalities, which led in part to the development of health geography from the more traditional medical geography (Kearns 1993). The understanding of place effects on individual health could help to …

  • Size matters

    Open Access•Kimberley L Procter, D Smith et al.•ARTICLE•Area•2008•Cited by: 1•References: 9

    Often when research labelled as health geography is introduced, there follows an implicit assumption that it deals with inequalities in health care/provision/outcomes across space. Place is clearly important when considering public health and social inequalities, which led in part to the development of health geography from the more traditional medical geography (Kearns 1993). The understanding of place effects on individual health could help to …

  • Variations in fresh fruit and vegetable quality by store type, urban–rural setting and neighbourhood deprivation in Scotland

    Open Access•Steven Cummin, Steven Cummins et al.•ARTICLE•Public Health Nutrition•2009

    Objective Neighbourhood differences in access to fresh fruit and vegetables may explain social inequalities in diet. Investigations have focused on variations in cost and availability as barriers to the purchase and consumption of fresh produce; investigations of quality have been neglected. Here we investigate whether produce quality systematically varies by food store type, rural–urban location and neighbourhood deprivation in a selection of co…

  • Obese Cities

    Open Access•D Smith, Dianna M Smith et al.•ARTICLE•Geography Compass•2009•Cited by: 8•References: 72

    The rapid rise in obesity rates over the last 30 years has profound implications for the health of populations. That this rise has occurred over a relatively short biological time scale suggests that changes in the environments to which we are exposed may be to blame, rather than individual genetic endowment. Focusing on developed world nations, this article briefly reviews this emerging 'ecological' perspective in the search for the causes of ob…

  • Improving the Synthetic Data Generation Process in Spatial Microsimulation Models

    Open Access•D Smith, Dianna M Smith et al.•ARTICLE•Environment and Planning A…•2009•Cited by: 6•References: 15

    Simulation models are increasingly used in applied research to create synthetic micro-populations and predict possible individual-level outcomes of policy intervention. Previous research highlights the relevance of simulation techniques in estimating the potential outcomes of changes in areas such as taxation and child benefit policy, crime, education, or health inequalities. To date, however, there is very little published research on the creati…

  • Can a deterministic spatial microsimulation model provide reliable small-area estimates of health behaviours? An example of smoking prevalence in New Zealand

    Open Access•D Smith, Dianna M Smith et al.•ARTICLE•Health & Place•2011•Cited by: 11•References: 6

  • Alcohol licensing data

    Open Access•David K Humphreys, D Smith et al.•ARTICLE•Health & Place•2013•Cited by: 4

Geography (5 works) · Medicine (5 works) · Environmental health (4 works) · Computer Science (3 works) · Economics (3 works) · Migration, Aging, and Tourism Studies (3 works) · Political science (3 works) · Sociology (3 works) · demographic modeling and climate adaptation (2 works) · Econometrics (2 works)

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