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评估社区中偶然接触在百日咳博德特氏菌传播给幼儿过程中的作用。

Estimating the role of casual contact from the community in transmission of Bordetella pertussis to young infants.

作者信息

Wendelboe Aaron M, Hudgens Michael G, Poole Charles, Van Rie Annelies

机构信息

Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

出版信息

Emerg Themes Epidemiol. 2007 Oct 19;4:15. doi: 10.1186/1742-7622-4-15.

Abstract

The proportion of infant pertussis cases due to transmission from casual contact in the community has not been estimated since before the introduction of pertussis vaccines in the 1950s. This study aimed to estimate the proportion of pertussis transmission due to casual contact using demographic and clinical data from a study of 95 infant pertussis cases and their close contacts enrolled at 14 hospitals in France, Germany, Canada, and the U.S. between February 2003 and September 2004. A complete case analysis was conducted as well as multiple imputation (MI) to account for missing data for participants and close contacts who did not participate. By considering all possible close contacts, the MI analysis estimated 66% of source cases were close contacts, implying the minimum attributable proportion of infant cases due to transmission from casual contact with community members was 34% (95% CI = 24%, 44%). Estimates from the complete case analysis were comparable but less precise. Results were sensitive to changes in the operational definition of a source case, which broadened the range of MI point estimates of transmission from casual community contact to 20%-47%. We conclude that casual contact appears to be responsible for a substantial proportion of pertussis transmission to young infants.Medical subject headings (MeSH): multiple imputation, pertussis, transmission, casual contact, sensitivity analysis, missing data, community.

摘要

自20世纪50年代引入百日咳疫苗以来,社区中因偶然接触传播导致的婴儿百日咳病例比例一直未得到估计。本研究旨在利用2003年2月至2004年9月期间在法国、德国、加拿大和美国的14家医院对95例婴儿百日咳病例及其密切接触者进行研究的人口统计学和临床数据,估计因偶然接触导致的百日咳传播比例。进行了完整病例分析以及多重填补(MI),以处理未参与的参与者和密切接触者的缺失数据。通过考虑所有可能的密切接触者,MI分析估计66%的传染源病例是密切接触者,这意味着因与社区成员偶然接触传播导致的婴儿病例的最小归因比例为34%(95%置信区间=24%,44%)。完整病例分析的估计结果具有可比性,但精度较低。结果对传染源病例操作定义的变化敏感,这将偶然社区接触传播的MI点估计范围扩大到20%-47%。我们得出结论,偶然接触似乎是导致大量百日咳传播给幼儿的原因。医学主题词(MeSH):多重填补、百日咳、传播、偶然接触、敏感性分析、缺失数据、社区。

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