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

Research output: Contribution to journalJournal articlepeer-review

Published
<mark>Journal publication date</mark>30/03/2021
<mark>Journal</mark>Transactions of The Royal Society of Tropical Medicine and Hygiene
Issue number3
Volume115
Number of pages3
Pages (from-to)208–210
Publication StatusPublished
Early online date15/02/21
<mark>Original language</mark>English

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.

Bibliographic note

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