日本接触者追踪调查估计COVID-19传播风险的潜在偏差

Tsubasa Ito, Takahiro Otani, T. Anzai, T. Okumura, Kunihiko Takahashi
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引用次数: 0

摘要

正在开展接触者追踪调查,以确定和隔离已确定患者的密切接触者,以减少冠状病毒病(COVID-19)的传播。然而,根据从调查中获得的信息和通常在实践中使用的风险指数估计,与感染和传播风险的真实程度相比,可能存在偏差。方法:采用模拟研究的伪数据,对日本流行病学监测和接触者追踪调查中获得的风险指标估计值是否适用于新冠肺炎危险因素的定量评估。我们讨论了传染病问题中考虑的两种风险,即感染的概率和传播的概率,以及对这些风险的估计。结果与讨论:估计新型冠状病毒感染和传播风险的一种简单方法是分别计算感染患者与密切接触者的比例和感染他人的患者与所有确诊患者的比例。然而,这些估计可能存在显著偏差,导致在以下普通情况下,对风险因素的探索和定量评估无效:一个人与许多确诊患者密切接触,或确诊患者与许多人密切接触。因此,需要采取一些措施来减少在估计COVID-19感染和传播风险时可能出现的偏差。
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Potential Biases of the Transmission Risks of COVID-19 estimated by Contact Tracing Surveys in Japan
Introduction: Contact tracing surveys are being conducted to identify and isolate close contacts of an identified patient to reduce the spread of coronavirus disease (COVID-19). However, the estimates of risk indexes based on information obtained from the surveys and normally used in practice can have biases comparing with true magnitude of risks of infection and spread.Method: We evaluated whether the estimates of the risk indexes obtained from information of the active epidemiological surveillance, contact tracing surveys in Japan, are suitable for quantitative assessment of the risk factors of COVID-19, using pseudo data via a simulation study. We discussed two types of risks considered in the issue of infectious disease, the probability of infection and that of spreading, and the estimates of these risks.Results and Discussion: A naive method to estimate the risks of infection and spreading of COVID-19 is to calculate the ratio of infected patients to close contacts and the ratio of patients who infected others to all the confirmed patients, respectively. However, these estimates could possibly have significant biases and result in being ineffective for both the exploration and the quantitative assessment of the risk factors in the following ordinary cases: a person contacts closely with many confirmed patients, or a confirmed patient contact closely with many people. Then, some steps are needed to reduce such possible biases for the estimation the risks of both the infection and spreading of COVID-19.
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Epidemiology Biostatistics and Public Health
Epidemiology Biostatistics and Public Health PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
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期刊介绍: Epidemiology, Biostatistics, and Public Health (EBPH) is a multidisciplinary journal that has two broad aims: -To support the international public health community with publications on health service research, health care management, health policy, and health economics. -To strengthen the evidences on effective preventive interventions. -To advance public health methods, including biostatistics and epidemiology. EBPH welcomes submissions on all public health issues (including topics like eHealth, big data, personalized prevention, epidemiology and risk factors of chronic and infectious diseases); on basic and applied research in epidemiology; and in biostatistics methodology. Primary studies, systematic reviews, and meta-analyses are all welcome, as are research protocols for observational and experimental studies. EBPH aims to be a cross-discipline, international forum for scientific integration and evidence-based policymaking, combining the methodological aspects of epidemiology, biostatistics, and public health research with their practical applications.
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