Comparison of contact tracing methods: A modelling study

IF 8.8 3区 医学 Q1 Medicine
Joanna X.R. Tan , Lalitha Kurupatham , Zubaidah Said , Jeremy Chan , Kelvin Bryan Tan , Marc Ho , Vernon Lee , Alex R. Cook
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引用次数: 0

Abstract

Introduction

Contact tracing has been a key tool to contain the spread of diseases and was widely used by countries during the COVID-19 pandemic. However, evaluating the effectiveness of contact tracing has been challenging. Approaches to contact tracing were diverse and country-dependent, with operations utilizing different tracing methods under varied environments. To provide guidance on contact tracing for future preparedness, we assessed the effectiveness of contact tracing methods under varied environments using Singapore's population structure and COVID-19 as the disease model.

Methods

We developed a transmission network model using Singapore's contact tracing data and the characteristics of COVID-19 disease. We explored three different tracing methods that could be employed by contact tracing operations: forward tracing, extended tracing and cluster tracing. The forward tracing method covered the period starting two days before case isolation, the extended tracing method covered the period starting 16 days before case isolation, and the cluster tracing method combined forward tracing with cluster identification. Contact tracing operations traced detected cases from surveillance and issued interventions for identified contacts, and we constructed combinations of varied scenarios to replicate variability during pandemic, namely low case-ascertainment or high case-ascertainment and either testing of contacts or quarantine of contacts. We examined the impact of varied contact tracing operations on disease transmission and provider costs.

Results

Model simulations showed that the effectiveness of contact tracing methods varied under the four different scenarios. Firstly, under low case-ascertainment with testing of contacts, contact tracing reduced transmission by 12 %–22 %, with provider costs ranging between US$2943.56 to US$5226.82 per infection prevented. The most effective tracing method to control infection was cluster tracing, followed by extended tracing and forward tracing. Secondly, under low case-ascertainment with quarantine of contacts, transmission was reduced by 46 %–62 %, with provider costs below US$4000 per infection prevented. The cluster method reduced transmission by 62 %, enough to bring the reproduction number to close to unity and was the least costly. Extended tracing reduced transmission by 50 % but costed the most, while forward tracing reduced transmission by 46 %. Thirdly, under high case-ascertainment with testing of contacts, the average transmission was reduced by 20 %–26 %, with provider costs to prevent an infection ranging between US$1872.72 to US$3165.09. There was less variability between tracing methods, with cluster tracing reducing transmission the most, followed by extended tracing and forward tracing. Lastly, under high case-ascertainment and quarantine of contacts, contact tracing was the most effective, with provider costs below US$800 per infection prevented. All tracing methods were equally effective in disease containment, bringing the reproduction number below unity and stopping disease transmission early.

Discussion

We conclude that contact tracing operated most effectively when implemented with high case-ascertainment rates and quarantine of contacts; disease transmission is stopped early, and the low number of contacts enable tracing operations to be more manageable and less costly. However, the pandemic situation can be dynamic, with fluctuations in resources available for case-ascertainment and quarantine adherence, which can impact the effectiveness of contact tracing. Adapting contact tracing methods to the situation can optimize disease control. Therefore, it is recommended to develop a flexible contact tracing approach that facilitates strategy switching based on resource availability and the skills of tracing operations.
接触追踪方法的比较:模型研究
接触者追踪是控制疾病传播的一项关键工具,在2019冠状病毒病大流行期间被各国广泛使用。然而,评估接触者追踪的有效性一直具有挑战性。接触者追踪的方法多种多样,因国家而异,在不同的环境下使用不同的追踪方法。为了为今后的准备工作提供接触者追踪指导,我们以新加坡的人口结构和COVID-19为疾病模型,评估了不同环境下接触者追踪方法的有效性。方法利用新加坡接触者追踪数据和COVID-19疾病特征建立传播网络模型。我们探索了三种不同的追踪方法,可以用于接触者追踪操作:前向追踪、扩展追踪和聚类追踪。前向追踪法覆盖病例隔离前2天开始的时间段,扩展追踪法覆盖病例隔离前16天开始的时间段,聚类追踪法将前向追踪与聚类识别相结合。接触者追踪行动追踪了监测中发现的病例,并对已确定的接触者发布了干预措施,我们构建了不同情景的组合,以复制大流行期间的变异性,即低病例确定率或高病例确定率,以及对接触者进行检测或对接触者进行隔离。我们检查了各种接触者追踪操作对疾病传播和提供者成本的影响。结果模型模拟结果表明,接触者追踪方法在4种不同场景下的有效性存在差异。首先,在通过接触者检测进行低病例确定的情况下,接触者追踪使传播减少了12% - 22%,预防每次感染的提供者成本在2943.56美元至5226.82美元之间。控制感染最有效的追踪方法是聚集追踪,其次是扩展追踪和前向追踪。其次,在低病例确定率和隔离接触者的情况下,传播减少了46% - 62%,预防每次感染的提供者成本低于4000美元。聚类方法减少62%的传播,足以使繁殖数量接近统一,并且成本最低。扩展跟踪减少了50%的传播,但成本最高,而向前跟踪减少了46%的传播。第三,在通过接触者检测进行高病例确定的情况下,平均传播减少了20% - 26%,提供者预防感染的费用在1872.72美元至3165.09美元之间。跟踪方法之间的差异较小,聚类跟踪减少传播最多,其次是扩展跟踪和前向跟踪。最后,在高度确定病例和隔离接触者的情况下,接触者追踪是最有效的,每次预防感染的提供者费用低于800美元。所有追踪方法在控制疾病方面效果相同,使繁殖数量低于统一水平,及早阻止疾病传播。我们的结论是,当病例确诊率高并对接触者进行隔离时,接触者追踪工作最有效;疾病传播得以及早制止,接触者人数较少,使追踪行动更易于管理,成本更低。然而,大流行情况可能是动态的,用于确定病例和遵守隔离的可用资源会出现波动,这可能影响接触者追踪的有效性。根据情况调整接触者追踪方法可以优化疾病控制。因此,建议开发一种灵活的接触者追踪方法,以便根据资源可用性和追踪操作技能进行策略切换。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Infectious Disease Modelling
Infectious Disease Modelling Mathematics-Applied Mathematics
CiteScore
17.00
自引率
3.40%
发文量
73
审稿时长
17 weeks
期刊介绍: Infectious Disease Modelling is an open access journal that undergoes peer-review. Its main objective is to facilitate research that combines mathematical modelling, retrieval and analysis of infection disease data, and public health decision support. The journal actively encourages original research that improves this interface, as well as review articles that highlight innovative methodologies relevant to data collection, informatics, and policy making in the field of public health.
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