Estimating true prevalence through questionnaire data

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Standard

Estimating true prevalence through questionnaire data. / Mielke, Adam; Denwood, Matt; Christiansen, Lasse Engbo.

I: Journal of Medical Virology, Bind 95, Nr. 7, e28908, 2023.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Mielke, A, Denwood, M & Christiansen, LE 2023, 'Estimating true prevalence through questionnaire data', Journal of Medical Virology, bind 95, nr. 7, e28908. https://doi.org/10.1002/jmv.28908

APA

Mielke, A., Denwood, M., & Christiansen, L. E. (2023). Estimating true prevalence through questionnaire data. Journal of Medical Virology, 95(7), [e28908]. https://doi.org/10.1002/jmv.28908

Vancouver

Mielke A, Denwood M, Christiansen LE. Estimating true prevalence through questionnaire data. Journal of Medical Virology. 2023;95(7). e28908. https://doi.org/10.1002/jmv.28908

Author

Mielke, Adam ; Denwood, Matt ; Christiansen, Lasse Engbo. / Estimating true prevalence through questionnaire data. I: Journal of Medical Virology. 2023 ; Bind 95, Nr. 7.

Bibtex

@article{5dd4f73cbee34347aad83f077e44fd98,
title = "Estimating true prevalence through questionnaire data",
abstract = "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.",
keywords = "biostatistics & bioinformatics, coronavirus, data processing, epidemiology, pandemics, SARS coronavirus, time series analysis, virus classification",
author = "Adam Mielke and Matt Denwood and Christiansen, {Lasse Engbo}",
note = "Publisher Copyright: {\textcopyright} 2023 The Authors. Journal of Medical Virology published by Wiley Periodicals LLC.",
year = "2023",
doi = "10.1002/jmv.28908",
language = "English",
volume = "95",
journal = "Journal of Medical Virology",
issn = "0146-6615",
publisher = "JohnWiley & Sons, Inc.",
number = "7",

}

RIS

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