271 citations · 319 across the 17 of their papers we have counts for
6 papers · 1 filter
Modernising the Design and Analysis of Prevalence Surveys for Neglected Tropical Diseases
Peter J. Diggle, Claudio Fronterre, Katherine Gass +5
Current WHO guidelines set prevalence thresholds below which a Neglected Tropical Disease can be considered to have been eliminated as a public health problem, and specify how surv…
Visualising spatio-temporal health data: the importance of capturing the 4th dimension
Alison C. Hale, Charlotte Appleton, P. -J. M. Noble +5
Confronted by a rapidly evolving health threat, such as an infectious disease outbreak, it is essential that decision-makers are able to comprehend the complex dynamics not just in…
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,…
On The Inverse Geostatistical Problem of Inference on Missing Locations
Emanuele Giorgi, Peter J. Diggle
The standard geostatistical problem is to predict the values of a spatially continuous phenomenon, say, at locations using data where is the r…