Abstract
Methods for detecting spatial and spatiotemporal clusters of health and disease have advanced significantly in the past decade. This article reviews recent advances in four areas: spatial search processes, network-based methods, statistical analysis and modelling of local clusters and space-time cluster detection. I then turn to a more critical discussion of the implications of hotspot mapping for public health policy and intervention, highlighting the need to incorporate process-based understandings that impact spatial and social inequalities in ill health for particular health issues in particular geographic contexts.
Original language | English (US) |
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Pages (from-to) | 127-133 |
Number of pages | 7 |
Journal | Annals of GIS |
Volume | 21 |
Issue number | 2 |
DOIs | |
State | Published - Apr 3 2015 |
Keywords
- public health
- space-time
- spatial cluster detection
ASJC Scopus subject areas
- Computer Science Applications
- General Earth and Planetary Sciences