New geographical and statistical methods to address the modifiable areal unit problem, with applications in health

Research output: ThesisDoctoral Thesis

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Abstract

Public health organisations worldwide constantly examine spatially aggregated data to inform the distribution of finite healthcare resources. In this context, this thesis presents new methods to: predict future geographic hotspots of disease; address the modifiable areal unit problem (MAUP) in areal association estimation and disease mapping; and delineate geographic target regions for healthcare interventions. Its results inform the conclusions that: the MAUP should be more widely acknowledged; improved methodology, such as that described here, should be employed to address its impact; and, since this methodology relies on fine-resolution data, custodians of such data should be lobbied to make them available.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • The University of Western Australia
Supervisors/Advisors
  • Whyatt, David, Supervisor
  • Turlach, Berwin, Supervisor
  • Murray, Kevin, Supervisor
  • Vickery, Alistair, Supervisor
Thesis sponsors
Award date18 Jul 2022
DOIs
Publication statusUnpublished - 2022

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