1 citations · 3 across the 5 of their papers we have counts for
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A Geostatistical Framework for Combining Spatially Referenced Disease Prevalence Data from Multiple Diagnostics
Benjamin Amoah, Emanuele Giorgi, Peter Diggle
Multiple diagnostic tests are often used due to limited resources or because they provide complementary information on the epidemiology of a disease under investigation. Existing s…
Geostatistical inference in the presence of geomasking: a composite-likelihood approach
Claudio Fronterrè, Emanuele Giorgi, Peter J. Diggle
In almost any geostatistical analysis, one of the underlying, often implicit, modelling assump- tions is that the spatial locations, where measurements are taken, are recorded with…
Model-Based Geostatistics for Prevalence Mapping in Low-Resource Settings
Peter J. Diggle, Emanuele Giorgi
In low-resource settings, prevalence mapping relies on empirical prevalence data from a finite, often spatially sparse, set of surveys of communities within the region of interest,…