LOADING

Spatial modelling and prediction of Loa loa risk: decision making under uncertainty.

Diggle, Peter J. and Thomson, M. C. and Christensen, O. F. and Rowlingson, B. and Obsomer, V. and Gardon, J. and Wanji, S. and Takougang, I. and Enyong, P. and Kamgno, J. and Remme, H. and Boussinesq, M. and Molyneux, D. H. (2007) Spatial modelling and prediction of Loa loa risk: decision making under uncertainty. Annals of Tropical Medicine and Parasitology, 101 (6). pp. 499-509. ISSN 1364-8594

This is the latest version of this item.

Full text not available from this repository.

Abstract

Health decision-makers working in Africa often need to act for millions of people over large geographical areas on little and uncertain information. Spatial statistical modelling and Bayesian inference have now been used to quantify the uncertainty in the predictions of a regional, environmental risk map for Loa loa (a map that is currently being used as an essential decision tool by the African Programme for Onchocerciasis Control). The methodology allows the expression of the probability that, given the data, a particular location does or does not exceed a predefined high-risk threshold for which a change in strategy for the delivery of the antihelmintic ivermectin is required.

Item Type: Journal Article
Journal or Publication Title: Annals of Tropical Medicine and Parasitology
Uncontrolled Keywords: /dk/atira/pure/researchoutput/libraryofcongress/r1
Subjects:
Departments: Faculty of Health and Medicine > Medicine
VC's Office
Faculty of Science and Technology > Mathematics and Statistics
ID Code: 9651
Deposited By: Prof Peter J. Diggle
Deposited On: 18 Jun 2008 10:36
Refereed?: Yes
Published?: Published
Last Modified: 29 Oct 2019 01:36
URI: https://eprints.lancs.ac.uk/id/eprint/9651

Available Versions of this Item

Actions (login required)

View Item View Item