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The basic reproduction number (R 0 ) of measles: a systematic review

机译:麻疹的基本再现号码(R 0):系统审查

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Summary The basic reproduction number, R nought (R 0 ), is defined as the average number of secondary cases of an infectious disease arising from a typical case in a totally susceptible population, and can be estimated in populations if pre-existing immunity can be accounted for in the calculation. R 0 determines the herd immunity threshold and therefore the immunisation coverage required to achieve elimination of an infectious disease. As R 0 increases, higher immunisation coverage is required to achieve herd immunity. In July, 2010, a panel of experts convened by WHO concluded that measles can and should be eradicated. Despite the existence of an effective vaccine, regions have had varying success in measles control, in part because measles is one of the most contagious infections. For measles, R 0 is often cited to be 12–18, which means that each person with measles would, on average, infect 12–18 other people in a totally susceptible population. We did a systematic review to find studies reporting rigorous estimates and determinants of measles R 0 . Studies were included if they were a primary source of R 0 , addressed pre-existing immunity, and accounted for pre-existing immunity in their calculation of R 0 . A search of key databases was done in January, 2015, and repeated in November, 2016, and yielded 10?883 unique citations. After screening for relevancy and quality, 18 studies met inclusion criteria, providing 58 R 0 estimates. We calculated median measles R 0 values stratified by key covariates. We found that R 0 estimates vary more than the often cited range of 12–18. Our results highlight the importance of countries calculating R 0 using locally derived data or, if this is not possible, using parameter estimates from similar settings. Additional data and agreed review methods are needed to strengthen the evidence base for measles elimination modelling.
机译:发明内容基本再现数量R naught(r 0)被定义为在完全易感群体中由典型案例产生的传染病的平均患者的平均数,如果可能的免疫力可以估计群体占计算。 R 0确定群体免疫阈值,从而确定消除传染病所需的免疫覆盖率。随着r 0的增加,需要更高的免疫覆盖来实现畜群免疫力。 2010年7月,由谁结束召集的专家小组,令人遗憾的是,麻疹可以,应该是根除的。尽管存在有效的疫苗,但地区的麻疹控制成功不同,部分原因是麻疹是最具传染性的感染之一。对于麻疹,R 0通常被引用为12-18,这意味着每种患有麻疹的人会平均地感染12-18人以完全易感的人群。我们做了一个系统的审查,以查找报告严格估计和麻疹R 0的决定因素的研究。如果它们是R 0的主要来源,则包括研究,解决了预先存在的免疫力,并占他们计算R 0的预先存在的免疫力。搜索关键数据库于2015年1月,2016年11月,并在2016年11月重复,并产生了10个?883个独特的引用。在筛选相关性和质量后,18项研究符合纳入标准,提供58 R 0估计。我们计算了按键协变量分层的中位数麻疹R 0值。我们发现R 0估计比通常引用的12-18范围更大。我们的结果突出了使用本地派生数据计算R 0的国家的重要性,或者如果无法使用类似设置的参数估计值。需要额外的数据和商定的审查方法来加强麻疹消除建模的证据基础。

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