Estimating potential infection transmission routes in hospital wards using wearable proximity sensors.
Estimating potential infection transmission routes in hospital wards using wearable proximity sensors.
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DOI：
10.1371/journal.pone.0073970
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发表时间：
2013
期刊：
影响因子：
3.7
通讯作者：
Voirin N
中科院分区：
文献类型：
--
作者：
Vanhems P;Barrat A;Cattuto C;Pinton JF;Khanafer N;Régis C;Kim BA;Comte B;Voirin N
患者之间、患者与卫生保健工作者之间以及卫生保健工作者之间的接触是医院获得性感染的重要传播途径之一。医院接触者的详细描述和量化为艾滋病流行病学以及控制措施的设计和验证提供了关键信息。我们使用可穿戴传感器来检测大学医院老年病房中个体之间的近距离互动（“接触”）。接触事件的空间分辨率约为1.5米，时间分辨率为20秒。研究纳入46名医护人员和29名患者，持续4天4夜。共录得14037宗接触个案，其中94.1%为日间接触个案。接触的次数和持续时间在上午、下午和晚上有所不同，并建立了描述HCW和患者之间混合模式的接触矩阵。每天的接触模式在质量上是相似的。38%的接触发生在医护人员对之间，6名医护人员占所有接触者的42%，包括至少一名患者，这表明有可能成为超级传播者的个体群体。可穿戴传感器代表了一种测量医院接触模式的新工具。收集到的数据可以提供影响传染病传播模式的重要方面的信息，例如个体之间接触人数和持续时间的强烈异质性、一天内接触人数的可变性以及每天重复接触的比例。然而，这种可变性与跨天接触和混合模式的显著统计稳定性有关。我们的研究结果强调了这种测量工作的必要性，以便正确地为卫生保健的数学模型提供信息，并利用它们为预防策略的设计和评估提供信息。
Contacts between patients, patients and health care workers (HCWs) and among HCWs represent one of the important routes of transmission of hospital-acquired infections (HAI). A detailed description and quantification of contacts in hospitals provides key information for HAIs epidemiology and for the design and validation of control measures. We used wearable sensors to detect close-range interactions (“contacts”) between individuals in the geriatric unit of a university hospital. Contact events were measured with a spatial resolution of about 1.5 meters and a temporal resolution of 20 seconds. The study included 46 HCWs and 29 patients and lasted for 4 days and 4 nights. 14,037 contacts were recorded overall, 94.1% of which during daytime. The number and duration of contacts varied between mornings, afternoons and nights, and contact matrices describing the mixing patterns between HCW and patients were built for each time period. Contact patterns were qualitatively similar from one day to the next. 38% of the contacts occurred between pairs of HCWs and 6 HCWs accounted for 42% of all the contacts including at least one patient, suggesting a population of individuals who could potentially act as super-spreaders. Wearable sensors represent a novel tool for the measurement of contact patterns in hospitals. The collected data can provide information on important aspects that impact the spreading patterns of infectious diseases, such as the strong heterogeneity of contact numbers and durations across individuals, the variability in the number of contacts during a day, and the fraction of repeated contacts across days. This variability is however associated with a marked statistical stability of contact and mixing patterns across days. Our results highlight the need for such measurement efforts in order to correctly inform mathematical models of HAIs and use them to inform the design and evaluation of prevention strategies.
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DOI：
10.1136/bmj.c2424
发表时间：
2010-05-21
期刊：
BMJ (Clinical research ed.)
影响因子：
--
作者：
Baker MG;Thornley CN;Mills C;Roberts S;Perera S;Peters J;Kelso A;Barr I;Wilson N
通讯作者：
Wilson N
影响因子：
56.3
作者：
Abubakar, Ibrahim;Gautret, Philippe;Khan, Ali S.
通讯作者：
Khan, Ali S.
影响因子：
1.4
作者：
Eames, K. T. D.
通讯作者：
Eames, K. T. D.
DOI：
10.1073/pnas.1009094108
发表时间：
2010-12-21
影响因子：
11.1
作者：
Salathe, Marcel;Kazandjieva, Maria;Jones, James H.
通讯作者：
Jones, James H.
影响因子：
3.7
作者：
McCaw, James M.;Forbes, Kristian;McVernon, Jodie
通讯作者：
McVernon, Jodie