Estimating true prevalence through questionnaire data
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Estimating true prevalence through questionnaire data. / Mielke, Adam; Denwood, Matt; Christiansen, Lasse Engbo.
In: Journal of Medical Virology, Vol. 95, No. 7, e28908, 2023.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Estimating true prevalence through questionnaire data
AU - Mielke, Adam
AU - Denwood, Matt
AU - Christiansen, Lasse Engbo
N1 - Publisher Copyright: © 2023 The Authors. Journal of Medical Virology published by Wiley Periodicals LLC.
PY - 2023
Y1 - 2023
N2 - We present a general analytical method for obtaining unbiased prevalence estimates based on data from regional or national testing programs, where individual participation in the testing program is voluntary but where additional questionnaire data is collected regarding the individual-level reason/motivation for being tested. The approach is based on re-writing the conditional probabilities for being tested, being infected, and having symptoms, so that a series of equations can be defined that relate estimable quantities (from test data and questionnaire data) to the result of interest (an unbiased estimate of prevalence). The final estimates appear to be robust based on prima-facie examination of the temporal dynamics estimated, as well as agreement with an independent estimate of prevalence. Our approach demonstrates the potential strength of incorporating questionnaires when testing a population during an outbreak, and can be used to help obtain unbiased estimates of prevalence in similar settings.
AB - We present a general analytical method for obtaining unbiased prevalence estimates based on data from regional or national testing programs, where individual participation in the testing program is voluntary but where additional questionnaire data is collected regarding the individual-level reason/motivation for being tested. The approach is based on re-writing the conditional probabilities for being tested, being infected, and having symptoms, so that a series of equations can be defined that relate estimable quantities (from test data and questionnaire data) to the result of interest (an unbiased estimate of prevalence). The final estimates appear to be robust based on prima-facie examination of the temporal dynamics estimated, as well as agreement with an independent estimate of prevalence. Our approach demonstrates the potential strength of incorporating questionnaires when testing a population during an outbreak, and can be used to help obtain unbiased estimates of prevalence in similar settings.
KW - biostatistics & bioinformatics
KW - coronavirus
KW - data processing
KW - epidemiology
KW - pandemics
KW - SARS coronavirus
KW - time series analysis
KW - virus classification
U2 - 10.1002/jmv.28908
DO - 10.1002/jmv.28908
M3 - Journal article
C2 - 37394779
AN - SCOPUS:85163672551
VL - 95
JO - Journal of Medical Virology
JF - Journal of Medical Virology
SN - 0146-6615
IS - 7
M1 - e28908
ER -
ID: 362698026