TY - JOUR
T1 - Rethinking neglected tropical disease prevalence survey design and analysis
T2 - a geospatial paradigm
AU - Diggle, Peter John
AU - Amoah, Benjamin
AU - Fronterrè, Claudio
AU - Giorgi, Emanuele
AU - Johnson, Olatunji
PY - 2021/3/6
Y1 - 2021/3/6
N2 - 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. © 2021 The Author(s). Published by Oxford University Press on behalf of Royal Society of Tropical Medicine and Hygiene.
AB - 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. © 2021 The Author(s). Published by Oxford University Press on behalf of Royal Society of Tropical Medicine and Hygiene.
KW - elimination surveys
KW - geospatial methods
KW - predictive inference
KW - prevalence mapping
UR - https://www.research.lancs.ac.uk/portal/en/publications/rethinking-neglected-tropical-disease-prevalence-survey-design-and-analysis(1b1da050-3f52-492c-8ce1-24ec6adfce03).html
UR - https://www.scopus.com/pages/publications/85102906448
U2 - 10.1093/trstmh/trab020
DO - 10.1093/trstmh/trab020
M3 - Editorial
C2 - 33587142
SN - 0035-9203
VL - 115
SP - 208
EP - 210
JO - Transactions of the Royal Society of Tropical Medicine and Hygiene
JF - Transactions of the Royal Society of Tropical Medicine and Hygiene
IS - 3
ER -
