24 citations · 28 across the 9 of their papers we have counts for
12 papers
Understanding the effects of dichotomization of continuous outcomes on geostatistical inference
Irene Kyomuhangi, Tarekegn A. Abeku, Matthew J. Kirby +2
Diagnosis is often based on the exceedance or not of continuous health indicators of a predefined cut-off value, so as to classify patients into positives and negatives for the dis…
Spatial Analysis Made Easy with Linear Regression and Kernels
Philip Milton, Emanuele Giorgi, Samir Bhatt
Kernel methods are an incredibly popular technique for extending linear models to non-linear problems via a mapping to an implicit, high-dimensional feature space. While kernel met…
A Spatially Discrete Approximation to Log-Gaussian Cox Processes for Modelling Aggregated Disease Count Data
Olatunji Johnson, Peter Diggle, Emanuele Giorgi
In this paper, we develop a computationally efficient discrete approximation to log-Gaussian Cox process (LGCP) models for the analysis of spatially aggregated disease count data.…
Mapping food insecurity in the Brazilian Amazon using a spatial item factor analysis model
Erick A. Chacón-Montalván, Luke Parry, Emanuele Giorgi +4
Food insecurity, a latent construct defined as the lack of consistent access to sufficient and nutritious food, is a pressing global issue with serious health and social justice im…
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 methods for disease mapping and visualization using data from spatio-temporally referenced prevalence surveys
Emanuele Giorgi, Peter J. Diggle, Robert W. Snow +1
In this paper we set out general principles and develop geostatistical methods for the analysis of data from spatio-temporally referenced prevalence surveys. Our objective is to pr…