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Household Transmission of Seasonal Coronavirus Infections: Results from the Flu Watch cohort study

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rdr.ucl.ac.uk2020-06-01 更新2025-01-21 收录
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https://rdr.ucl.ac.uk/articles/dataset/Household_Transmission_of_Seasonal_Coronavirus_Infections_Results_from_the_Flu_Watch_cohort_study/12383873/1
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These datasets comprise the main analyses for the paper “Household Transmission of Seasonal Coronavirus Infections: Results from the Flu Watch cohort study”, published in Wellcome Open Research. Details of the statistical methods are reported in the article. Datasets are given in CSV format and, where relevant, in .dta format. Descriptions for each dataset are as follows: Household_CoV_acquired.csv/dta – data required to compute the proportion of cases presumably acquired outside of the household versus and the proportion acquired from household transmission. Each row represents an anonymised PCR-confirmed seasonal coronavirus case. Household_CoV_TransmissionRisk.csv/dta – data required to compute the risk of symptomatic onward household transmission following a seasonal coronavirus index case, and perform stratified descriptive analyses. Household_CoV_SAR.csv/.dta – data required to compute the seasonal coronavirus secondary attack risk overall and by strain. Each row represents an anonymised exposed-index pair from a given outbreak. HH Transmission Serial Interval.csv – presents available, anonymised data required to compute the median clinical-onset serial interval overall and by strain for each household outbreak

本数据集集成了论文《季节性冠状病毒感染的 household 传播:来自 Flu Watch 流行病学队列研究的成果》的主要分析内容,该论文发表于 Wellcome Open Research。统计方法的详细信息见文章正文。数据集以 CSV 格式提供,在相关情况下,也以 .dta 格式提供。各数据集的描述如下: Household_CoV_acquired.csv/dta – 包含计算疑似在家庭外部获得与疑似通过家庭内传播获得的病例比例所需的数据。每一行代表一个匿名化的 PCR 确诊的季节性冠状病毒病例。 Household_CoV_TransmissionRisk.csv/dta – 包含计算在季节性冠状病毒索引病例后的症状性后续家庭内传播风险的所需数据,并执行分层描述性分析。 Household_CoV_SAR.csv/.dta – 包含计算季节性冠状病毒总体及各菌株的二次攻击风险所需的资料。每一行代表一个给定爆发中的匿名化的暴露-索引病例对。 HH Transmission Serial Interval.csv – 展示了计算每个家庭爆发中总体及各菌株的中位临床发病间隔所需的匿名化数据。
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University College London
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