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.
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.
|Journal or Publication Title:||Annals of Tropical Medicine and Parasitology|
|Subjects:||R Medicine > R Medicine (General)|
|Departments:||Faculty of Health and Medicine > Medicine|
Faculty of Science and Technology > Mathematics and Statistics
|Deposited By:||Prof Peter J. Diggle|
|Deposited On:||18 Jun 2008 11:36|
|Last Modified:||18 Jun 2016 00:40|
Available Versions of this Item
- Spatial modelling and prediction of Loa loa risk: decision making under uncertainty. (deposited )
- Spatial modelling and prediction of Loa loa risk: decision making under uncertainty. (deposited 18 Jun 2008 11:36)[Currently Displayed]
Actions (login required)