Craig Duncan

ORCID: 0000-0003-0687-5783
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About
Contact & Profiles
Research Areas
  • Health disparities and outcomes
  • Urban, Neighborhood, and Segregation Studies
  • Rural development and sustainability
  • Employment and Welfare Studies
  • Healthcare Decision-Making and Restraints
  • Urban Transport and Accessibility
  • Psychiatric care and mental health services
  • Migration, Aging, and Tourism Studies
  • demographic modeling and climate adaptation
  • Schizophrenia research and treatment
  • Island Studies and Pacific Affairs
  • Spatial and Panel Data Analysis
  • Geographic Information Systems Studies
  • Global Health Care Issues
  • Global Public Health Policies and Epidemiology
  • Homelessness and Social Issues
  • Public Health Policies and Education
  • Child Nutrition and Water Access
  • Geriatric Care and Nursing Homes
  • Global Energy and Sustainability Research
  • Mental Health and Patient Involvement
  • Historical Geography and Geographical Thought
  • Yersinia bacterium, plague, ectoparasites research
  • New Zealand Economic and Social Studies
  • Community Health and Development

Australian Catholic University
2023

University of Portsmouth
1998-2021

Laurentian University
2021

University of Waikato
1967-2008

University of Newcastle Australia
1998

University of Liverpool
1998

University of East Asia
1983

The University of Queensland
1963

10.1016/s0277-9536(98)00360-8 article EN Social Science & Medicine 1999-02-01

10.1111/j.1745-7939.1981.tb00950.x article EN New Zealand Geographer 1981-04-01

Following the move to a ‘post–medical’ geography, large amount of research has come focus on public health issues. This paper explores these current geographies and argues for development more critical perspective. In particular, it draws commentary that emerged out debates have taken place within body literature usually identified as ‘new’ health. The goes argue such scholarship offers crucial insights production geography

10.1111/1475-4762.00093 article EN Area 2002-12-01

To establish whether regional variations in psychiatric morbidity Britain constitute a distinctive geography of mental health arising from factors that are context-specific at area level or these an artifact generated by sampling fluctuations and differing population compositions areas.Multilevel modelling techniques were applied to data the 1984-85 lifestyle survey. The outcome was prevalence as recorded application general questionnaire this survey.The analysis undertaken simultaneously...

10.1136/jech.49.3.290 article EN Journal of Epidemiology & Community Health 1995-06-01

Since most census data are released for spatial aggregates, the microscale of people and macroscale places confounded in analyses. Although regrettable, this situation is usually tolerated owing to other obvious attractions data. In paper, we consider how multilevel statistical procedures offer a solution problem. Importantly, show they allow be considered terms several different scales simultaneously. As demonstrate, provides important connections with recent moves towards performance...

10.1068/a3357 article EN Environment and Planning A Economy and Space 2001-03-01

Geography is centrally concerned with difference and heterogeneity, yet much quantitative modelling has been finding average or general relationships thereby relegating variability to a single catchall ‘error’ term. Multilevel modelling, in contrast, anticipates complex between-individual between-place heterogeneity. Previous accounts of the approach have stressed higher level, differences, but here emphasis placed on simultaneous consideration variation at all levels. A parade models...

10.1068/a290585 article EN Environment and Planning A Economy and Space 1997-04-01

Within the last few years, geographers and researchers in other cognate disciplines with geographic concerns have begun to use multilevel models. While there are several useful existing introductory accounts of these models geographical literature, this paper seeks extend them three main ways clarify emphasize further substantial opportunities they afford. First, it focuses on how centrally concerned modeling population heterogeneity as a function predictor variables. Second, considers...

10.1111/j.1538-4632.2000.tb00429.x article EN Geographical Analysis 2000-10-01

10.1016/1353-8292(95)90029-2 article EN Health & Place 1995-03-01

Background Community treatment orders are widely used in England. It is unclear whether their use varies between patients, places and services, or if they associated with better patient outcomes. Objectives To examine variation the of community associations outcomes health-care costs. Design Secondary analysis using multilevel statistical modelling. Setting England, including 61 NHS mental health provider trusts. Participants A total 69,832 patients eligible to be subject a order. Main...

10.3310/hsdr08090 article EN publisher-specific-oa Health Services and Delivery Research 2020-02-01
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