Design and Analysis of Elimination Surveys for Neglected Tropical Diseases. (13th January 2020)

• Record Type: Journal Article
• Authors: Fronterre, Claudio; Amoah, Benjamin; Giorgi, Emanuele; Stanton, Michelle C; Diggle, Peter J
• Is Part Of: Journal of infectious diseases. Volume 221(2020)Supplement 5
• Page Start: S554
• Page End: S560
• Publication Date: 2020-01-13
• Subjects: disease mapping -- elimination surveys -- geostatistics -- neglected tropical diseases -- predictions; Communicable diseases -- Periodicals; Diseases -- Causes and theories of causation -- Periodicals; Medicine -- Periodicals; Communicable Diseases -- Periodicals; Electronic journals; 616.9
• DOI: 10.1093/infdis/jiz554
• Languages: English
• ISSNs: 0022-1899

Abstract

Abstract: As neglected tropical diseases approach elimination status, there is a need to develop efficient sampling strategies for confirmation (or not) that elimination criteria have been met. This is an inherently difficult task because the relative precision of a prevalence estimate deteriorates as prevalence decreases, and classic survey sampling strategies based on random sampling therefore require increasingly large sample sizes. More efficient strategies for survey design and analysis can be obtained by exploiting any spatial correlation in prevalence within a model-based geostatistics framework. This framework can be used for constructing predictive probability maps that can inform in-country decision makers of the likelihood that their elimination target has been met, and where to invest in additional sampling. We evaluated our methodology using a case study of lymphatic filariasis in Ghana, demonstrating that a geostatistical approach outperforms approaches currently used to determine an evaluation unit's elimination status.