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Professor Andrew D Cliff, BA MA PhD DSc FSS FBA, Academia Europaea, C. Geog

Emeritus Professor

Economic geographer, working on statistical and mathematical modelling of spatial processes, and applications to problems in location theory and spatial diffusion. The geographical spread of human diseases and the demographical implications has been a special focus.

Biography

Career:

Qualifications

Research

Overview

Andrew Cliff's earliest research was on spatial statistics. This work, with J.K.Ord, examines spatial processes for marked and unmarked point patterns, and appears in Spatial Autocorrelation (1973) and Spatial Processes (1981).

His current research focuses on applications of spatial diffusion models to the spread of epidemic diseases. Predicting the spatial spread of childhood diseases such as measles with a view to devising control strategies has been a central theme. Isolated island communities such as Iceland and the Pacific island groups have been important test-beds for trying out the forecasting models.

The work has identified the geographical factors which cause diseases to be endemic or epidemic in different locations, showing that disease levels are influenced by population density, vaccination intensity and degree of population flux. In particular, once the population size of an area falls below certain threshold densities which vary over time and space, the disease concerned is eventually extinguished, and it can only recur by re-introduction from other areas where the disease is permanently present. Thus the generalized persistence of disease implies geographical transmission between regions.

These ideas are developed in two recent publications (with P. Haggett and M.R. Smallman-Raynor), Deciphering Epidemics (CUP, 1998) and Island Epidemics (OUP, 2000). New research projects are examining the role of war in the propagation and incidence of infectious human disease, the geography of emerging and re-emerging diseases, and the global eradication programme for poliomyelitis. The work is funded by the Leverhulme and Wellcome Trusts.

Spatial analysis with GIS:

GIS with close coupled models to study emerging and re-emerging virus diseases and their impacts on populations.

Spatial processes in epidemiology, and demography:

Modelling temporal and spatial patterns of disease from global to local geographical scales in island settings; the impact of war on the spread of disease; the historical and future geography of emerging and re-emerging diseases.

Publications

Selected publications:

Teaching

External activities