Rethinking neglected tropical disease prevalence survey design and analysis : a geospatial paradigm

Diggle, Peter and Amoah, Benjamin and Fronterre, Claudio and Giorgi, Emanuele and Johnson, Olatunji (2021) Rethinking neglected tropical disease prevalence survey design and analysis : a geospatial paradigm. Transactions of The Royal Society of Tropical Medicine and Hygiene, 115 (3). 208–210. ISSN 0035-9203

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Abstract

Current methods for the design and analysis of neglected tropical disease prevalence surveys largely rely on classical survey sampling ideas that treat prevalence data from different locations as an independent random sample from the probability distribution induced by a random sampling design. We set out an alternative, explicitly geospatial paradigm that can deliver much more precise estimates of the geospatial variation in prevalence over a country or region of interest. We describe the advantages of this approach under three headings: streamlining, whereby more precise results can be obtained with smaller sample sizes; integrating, whereby a joint analysis of data from two or more diseases can bring further gains in precision; and adapting, whereby the choice of future sampling location is informed by past data.

Item Type:
Journal Article
Journal or Publication Title:
Transactions of The Royal Society of Tropical Medicine and Hygiene
Additional Information:
This is a pre-copy-editing, author-produced PDF of an article accepted for Publication in Transactions of Royal Society of Tropical Medicine & Hygiene following peer review. The definitive publisher-authenticated version Peter J Diggle, Benjamin Amoah, Claudio Fronterre, Emanuele Giorgi, Olatunji Johnson, Rethinking neglected tropical disease prevalence survey design and analysis: a geospatial paradigm, Transactions of The Royal Society of Tropical Medicine and Hygiene, Volume 115, Issue 3, March 2021, Pages 208–210 is available online at: https://doi.org/10.1093/trstmh/trab020
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2700/2725
Subjects:
?? elimination surveysgeospatial methodspredictive inferenceprevalence mappinginfectious diseasespublic health, environmental and occupational healthparasitology ??
ID Code:
151766
Deposited By:
Deposited On:
16 Feb 2021 13:51
Refereed?:
Yes
Published?:
Published
Last Modified:
15 Jul 2024 21:25