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发展中国家道路交通死亡率漏报:应用捕获-再捕获统计模型来完善死亡率估计。

Under-reporting of road traffic mortality in developing countries: application of a capture-recapture statistical model to refine mortality estimates.

机构信息

Department of Surgery, Kamuzu Central Hospital, Lilongwe, Malawi.

出版信息

PLoS One. 2012;7(2):e31091. doi: 10.1371/journal.pone.0031091. Epub 2012 Feb 15.

DOI:10.1371/journal.pone.0031091
PMID:22355338
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3280223/
Abstract

Road traffic injuries are a major cause of preventable death in sub-Saharan Africa. Accurate epidemiologic data are scarce and under-reporting from primary data sources is common. Our objectives were to estimate the incidence of road traffic deaths in Malawi using capture-recapture statistical analysis and determine what future efforts will best improve upon this estimate. Our capture-recapture model combined primary data from both police and hospital-based registries over a one year period (July 2008 to June 2009). The mortality incidences from the primary data sources were 0.075 and 0.051 deaths/1000 person-years, respectively. Using capture-recapture analysis, the combined incidence of road traffic deaths ranged 0.192-0.209 deaths/1000 person-years. Additionally, police data were more likely to include victims who were male, drivers or pedestrians, and victims from incidents with greater than one vehicle involved. We concluded that capture-recapture analysis is a good tool to estimate the incidence of road traffic deaths, and that capture-recapture analysis overcomes limitations of incomplete data sources. The World Health Organization estimated incidence of road traffic deaths for Malawi utilizing a binomial regression model and survey data and found a similar estimate despite strikingly different methods, suggesting both approaches are valid. Further research should seek to improve capture-recapture data through utilization of more than two data sources and improving accuracy of matches by minimizing missing data, application of geographic information systems, and use of names and civil registration numbers if available.

摘要

道路交通事故伤害是撒哈拉以南非洲地区可预防死亡的主要原因。准确的流行病学数据稀缺,主要数据来源的报告不足很常见。我们的目标是使用捕获-再捕获统计分析来估计马拉维的道路交通事故死亡人数,并确定未来的哪些努力将最能改进这一估计。我们的捕获-再捕获模型结合了来自警察和医院登记处的主要数据,时间跨度为一年(2008 年 7 月至 2009 年 6 月)。主要数据源的死亡率分别为 0.075 和 0.051 人/千人/年。使用捕获-再捕获分析,道路交通事故死亡的综合发生率在 0.192-0.209 人/千人/年之间。此外,警方数据更有可能包括男性、驾驶员或行人受害者,以及涉及多辆车的事故受害者。我们得出结论,捕获-再捕获分析是估计道路交通事故死亡人数的一种很好的工具,并且捕获-再捕获分析克服了不完全数据源的限制。世界卫生组织利用二项回归模型和调查数据估计了马拉维的道路交通事故死亡人数,尽管方法截然不同,但得出了类似的估计,这表明这两种方法都是有效的。进一步的研究应该通过利用两个以上的数据源并通过最小化缺失数据、应用地理信息系统以及在可用的情况下使用姓名和公民登记号码来提高捕获-再捕获数据的准确性,从而寻求改进捕获-再捕获数据。

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