论文标题
计算出类似流感的类似于流感的和类似互联的症状的参与式调查数据的发生率
Calculating incidence of Influenza-like and COVID-like symptoms from Flutracking participatory survey data
论文作者
论文摘要
本文介绍了一种使用Flutracking调查的数据，介绍了一种与流感和COVID-19的症状每周发病率（新发作）的新方法。该方法减轻了这种参与式纵向调查数据的现有方法中存在的一些已知的自我选择和症状报告偏见。分析中的关键小说步骤是： 1）确定三种不同症状分组的新症状发作：相互症样疾病（CLI1+，CLI2+）和类似流感的疾病（ILI），用于在Flutracking调查中报告的反应。 2）通过将分析限制为分析周前几周内持续反应的参与者来调整症状报告偏差。 3）按年龄进行加权反应，以调整自我选择偏见，以说明调查参与者之间不同年龄段的不同年龄组的不足和过度代表。这使用R中的调查包。 4）使用R. 除了描述这些步骤外，本文还展示了这种方法在2020年4月27日至2021年4月25日的12个月内将数据应用于flutrack的数据。
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 Influenza-like illness (ILI), for responses reported in the Flutracking survey. 2) Adjusting for symptom reporting bias by restricting the analysis to a sub-set of responses from those participants who have consistently responded for a number of weeks prior to the analysis week. 3) Weighting responses by age to adjust for self-selection bias in order to account for the under- and over-representation of different age groups amongst the survey participants. This uses the survey package in R. 4) Constructing 95% point-wise confidence bands for incidence estimates using weighted logistic regression from the survey package in R. In addition to describing these steps, the article demonstrates an application of this method to Flutracking data for the 12 months from 27th April 2020 until 25th April 2021.
