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Spatial modelling and the prediction of Loa loa risk: Decision making under uncertainty

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Diggle, P. J., Thomson, Madeleine C., Christensen, O. F., Rowlingson, B., Obsomer, V., Gardon, J., Wanji, S., Takougang, I., Enyong, P., Kamgno, J., Remme, J. H., Boussinesq, M. and Molyneux, David ORCID: https://orcid.org/0000-0001-8537-7947 (2007) 'Spatial modelling and the prediction of Loa loa risk: Decision making under uncertainty'. Annals of Tropical Medicine and Parasitology, Vol 101, Issue 6, pp. 499-509.

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Official URL: https://www.tandfonline.com/doi/abs/10.1179/136485...

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:	Article
Uncontrolled Keywords:	information-systems chrysops-silacea prevalence cameroon infection intensity africa west map temperature
Subjects:	QX Parasitology > Helminths. Annelida > QX 200 Helminths WA Public Health > Preventive Medicine > WA 110 Prevention and control of communicable diseases. Transmission of infectious diseases WB Practice of Medicine > Medical Climatology > WB 710 Diseases of geographic areas WC Communicable Diseases > Tropical and Parasitic Diseases > WC 880 Filariasis and related conditions (General) WC Communicable Diseases > Tropical and Parasitic Diseases > WC 885 Onchocerciasis
Digital Object Identifer (DOI):	https://doi.org/10.1179/136485913X13789813917463
Depositing User:	Sarah Lewis-Newton
Date Deposited:	05 Nov 2012 11:57
Last Modified:	03 Dec 2024 16:00
URI:	https://archive.lstmed.ac.uk/id/eprint/1189

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