Calculating incidence of Influenza-like and COVID-like symptoms from Flutracking participatory survey data.

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Title

Calculating incidence of Influenza-like and COVID-like symptoms from Flutracking participatory survey data.

Content partner

The University of Auckland Library

Collection

ResearchSpace@Auckland

Description

This article describes a new method for estimating weekly incidence (new onset) of symptoms consistent with Influenza and COVID-19, using data from the Flutracking survey. The method mitigates some of the known self-selection and symptom-reporting biases present in existing approaches to this type of participatory longitudinal survey data. The key novel steps in the analysis are: 1) Identifying new onset of symptoms for three different Symptom Groupings: COVID-like illness (CLI1+, CLI2+), and...

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Format

Research paper

Research format

Journal article

Date created

2022-01

Creator

Harvey, Emily P / Trent, Joel A / Mackenzie, Frank / Turnbull, Steven M / O'Neale, Dion RJ

URL

https://hdl.handle.net/2292/62506

Related subjects

COVID-19 / Flutracking / Incidence / Influenza-like illness / Logistic regression / Participatory epidemiology / Reporting bias / Survey analysis / Survey re-weighting / Syndromic surveillance / Prevention / Biodefense / Infectious Diseases / Pneumonia & Influenza / Behavioral and Social Science / Vaccine Related / Influenza / Emerging Infectious Diseases / 0912 Materials Engineering

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