• Title/Summary/Keyword: Contact tracing

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A New Measure for Assessing the Public Health Response to a Middle East Respiratory Syndrome Coronavirus Outbreak

  • Cho, Sung-il
    • Journal of Preventive Medicine and Public Health
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    • v.48 no.6
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    • pp.277-279
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    • 2015
  • Contact monitoring is an essential component of the public health response to a Middle East respiratory syndrome coronavirus outbreak, and is required for an effective quarantine to contain the epidemic. The timeliness of a quarantine is associated with its effectiveness. This paper provides a conceptual framework to describe the process of contact monitoring, and proposes a new measure called the "timely quarantined proportion" as a tool to assess the adequacy of a public health response.

Query Processing of Spatio-temporal Trajectory for Moving Objects (이동 객체를 위한 시공간 궤적의 질의 처리)

  • Byoungwoo Oh
    • Journal of Platform Technology
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    • v.11 no.1
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    • pp.52-59
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    • 2023
  • The importance of spatio-temporal trajectories for contact tracing has increased due to the recent COVID-19 pandemic. Spatio-temporal trajectories store time and spatial data of moving objects. In this paper, I propose query processing for spatio-temporal trajectories of moving objects. The spatio-temporal trajectory model of moving objects has point type spatial data for storing locations and timestamp type temporal data for time. A trajectory query is a query to search for pairs of users who have been in close contact by boarding the same bus. To process the trajectory query, I use the Geolife dataset provided by Microsoft. The proposed trajectory query processing method divides trajectory data by date and checks whether users' trajectories were nearby for each date to generate information about contacts as the result.

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Agent-Based COVID-19 Simulation Considering Dynamic Movement: Changes of Infections According to Detect Levels (동적 움직임 변화를 반영한 에이전트 기반 코로나-19 시뮬레이션: 접촉자 발견 수준에 따른 감염 변화)

  • Lee, Jongsung
    • Journal of the Korea Society for Simulation
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    • v.30 no.1
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    • pp.43-54
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    • 2021
  • Since COVID-19 (Severe acute respiratory syndrome coronavirus type 2, SARS-Cov-2) was first discovered at the end of 2019, it has spread rapidly around the world. This study introduces an agent-based simulation model representing COVID-19 spread in South Korea to investigate the effect of detect level (contact tracing) on the virus spread. To develop the model, related data are aggregated and probability distributions are inferred based on the data. The entire process of infection, quarantine, recovery, and death is schematically described and the interaction of people is modeled based on the traffic data. A composite logistic functions are utilized to represent the compliance of people to the government move control such as social distancing. To demonstrate to effect of detect level on the virus spread, detect level is changed from 0% to 100%. The results indicate active contact tracing inhibits the virus spread and the inhibitory effect increases geometrically as the detect level increases.

Prevalence and Risk Factors for Mycobacterium tuberculosis Infection among Contacts of Pulmonary Tuberculosis Patients (폐결핵환자 접촉자에서 결핵감염의 빈도와 결핵감염의 위험인자)

  • Park, Jae-Seuk
    • Tuberculosis and Respiratory Diseases
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    • v.72 no.2
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    • pp.140-148
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    • 2012
  • Background: Detection and treatment of tuberculosis (TB) infection with contact investigation is a key component of TB control program. I evaluated the prevalence and risk factors for TB infection among contacts of recently diagnosed pulmonary TB patients in a tertiary hospital in Korea. Methods: 206 contacts of 90 adult pulmonary TB patients underwent tuberculin skin tests (TST) and chest radiography. The TST results were considered positive with an induration of 10 mm or more, suggesting TB infection. A standardized questionnaire was used to assess risk factors associated with TB infection. Results: TST was positive in 97 of 206 contacts of TB patients (47.1%) and positive rate of TST increased with age. The risk of TB infection was significantly associated with close contact with TB patients (sleeping in the same room) (odd ratio [OR], 4.94; 95% confidence interval [CI], 1.43~17.00). Conclusion: TB infection rate was higher in the elderly, and the risk of TB infection was significantly increased with close contact of TB patients.

A Study on the Security Evaluations and Countermeasure of Exposure Notification Technology for Privacy-Preserving COVID-19 Contact Tracing (COVID-19 동선 추적에서의 프라이버시 보호를 위한 Exposure Notification 기술에 대한 보안성 평가 및 대응 방안 연구)

  • Lee, Hojun;Lee, Sangjin
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.30 no.5
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    • pp.929-943
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    • 2020
  • Various methods are being presented to identify the movements of COVID-19 infected persons and to protect personal privacy at the same time. Among them, 'Exposure Notification' released by Apple and Google follows a decentralized approach using Bluetooth. However, the technology must always turn on Bluetooth for use, which can create a variety of security threats. Thus, in this paper, the security assessment of 'Exposure Notification' was performed by applying 'STRIDE' and 'LINDDUN' among the security threat modeling techniques to derive all possible threats. It also presented a new Dell that derived response measures with security assessment results and improved security based on them.

Prospective Diary Survey of Preschool Children's Social Contact Patterns: A Pilot Study

  • Oh, Hyang Soon;Ryu, Mikyung
    • Child Health Nursing Research
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    • v.26 no.4
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    • pp.393-401
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    • 2020
  • Purpose: This pilot study aimed to describe children's social contact patterns and to analyze factors related to their social contacts. Methods: The participants were 30 children aged ≥13 months to <7 years, whose teachers at childcare centers and parents at home were asked to maintain diaries of their social contacts prospectively for 24 hours. Data were collected from November 30, 2018, to January 7, 2019. Results: The 30 participating children were in contact with 363 persons in a 24-hours period (mean, 12.1±9.1). The number of contacts showed significant relationships with day of the week (p<.001), number of family members/cohabitants (p=.015), area of residence (p=.003), and type of housing (p=.002). A multiple regression model showed significantly higher numbers of contacts on weekdays (B=10.64, p=.010). Physical versus non-physical types of contact showed significant differences in terms of duration, location, and frequency (p<.001). The duration of contacts showed significant relationships with their location and frequency (p<.001), while the frequency of contacts was significantly related to their location (p<.001). Conclusion: This is the first survey describing the characteristics of Korean preschool children's social contacts. Further large-scale social contact studies of children should be conducted.

A Study on Personal Information Protection amid the COVID-19 Pandemic

  • Kim, Min Woo;Kim, Il Hwan;Kim, Jaehyoun;Ha, Oh Jeong;Chang, Jinsook;Park, Sangdon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.12
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    • pp.4062-4080
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    • 2022
  • COVID-19, a highly infectious disease, has affected the globe tremendously since its outbreak during late 2019 in Wuhan, China. In order to respond to the pandemic, governments around the world introduced a variety of public health measures including contact-tracing, a method to identify individuals who may have come into contact with a confirmed COVID-19 patient, which usually leads to quarantine of certain individuals. Like many other governments, the South Korean health authorities adopted public health measures using latest data technologies. Key data technology-based quarantine measures include:(1) Electronic Entry Log; (2) Self-check App; and (3) COVID-19 Wristband, and heavily relied on individual's personal information for contact-tracing and self-isolation. In fact, during the early stages of the pandemic, South Korea's strategy proved to be highly effective in containing the spread of coronavirus while other countries suffered significantly from the surge of COVID-19 patients. However, while the South Korean COVID-19 policy was hailed as a success, it must be noted that the government achieved this by collecting and processing a wide range of personal information. In collecting and processing personal information, the data minimum principle - one of the widely recognized common data principles between different data protection laws - should be applied. Public health measures have no exceptions, and it is even more crucial when government activities are involved. In this study, we provide an analysis of how the governments around the world reacted to the COVID-19 pandemic and evaluate whether the South Korean government's digital quarantine measures ensured the protection of its citizen's right to privacy.

Noise Prediction of Train Using Ray Tracing Method and Statistical Energy Analysis (음선추적법과 통계적 에너지 분석법을 이용한 철도차량 실내 소음 해석)

  • Park, Hee-Jun
    • Proceedings of the KSR Conference
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    • 2010.06a
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    • pp.942-946
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    • 2010
  • As the major sources of interior noise of train at running condition are the wheel/rail contact noise, the traction motor's noise and the driving gear's noise and these noise sources are transmitted through the car body, the noises of HVAC and air duct can be ignored. But the interior noise of train at standstill condition is decided by HVAC's noise and noise from the diffuser through the air duct. the interior noise prediction of train at standstill condition should be performed considering the shape of air duct, the air velocity and noise reduction property inside the air duct. But it is hard to estimate the interior noise level by the numerical method. Therefore train maker predict the interior noise level using The commercial noise prediction program. This paper introduce the noise prediction method of the train at standstill condition using the commercial program appling the ray tracing method and statistical energy analysis.

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Vehicle Tracing Method Using Adaptive High Order Correlation Analysis (적응적 고차 상관 처리를 이용한 차량의 주행 궤적 검출법)

  • 장경영;오재응;좌등탁송
    • Transactions of the Korean Society of Automotive Engineers
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    • v.4 no.3
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    • pp.73-82
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    • 1996
  • Vehicle movement detection by high order correlation analysis of optical sensor array signals is introduced. The optical sensors observe the road which is assumed to be a non-uniform speckle-like texture. The measurement system is applicable to general robotic movement detection because : 1) It employs a non-contact measurement method, 2) The system can be made very compact, and 3) It enables approximation of the movement trace with a sequence of arcs instead of the conventional connection of simple line segments. In this work, we have looked into estimation of running trace of an autonomous vehicle by observing the ground pattern.

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Social Contact Patterns Associated With Tuberculosis: A Case-control Study in Southwest Iran

  • Amoori, Neda;Cheraghian, Bahman;Amini, Payam;Alavi, Seyed Mohammad
    • Journal of Preventive Medicine and Public Health
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    • v.55 no.5
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    • pp.485-491
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    • 2022
  • Objectives: Tuberculosis (TB) is a major public health concern worldwide. Social contact patterns can affect the epidemiology and risk of airborne diseases such as TB. This study was designed to investigate the social contact patterns associated with TB. Methods: In this case-control study, groups of participants with and without TB were matched by age and sex. Participants reported the nature, location, frequency, and average duration of social contacts over 1 month. The duration and number of social and spatial contacts were compared between groups using the chi-square test and the t-test. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to quantify the relationship between social contact time and TB status. Data were analyzed using Stata version 11 statistical software. A p-value of <0.05 was considered to indicate statistical significance. Results: In this study, 80 patients with TB and 172 control participants were included, and a total of 3545 social contacts were registered. Social contact with family members (OR, 1.72; 95% CI, 1.10 to 2.40), contact with a person with TB (OR, 1.53; 95% CI, 1.16 to 2.01), and contact at the participant's home (OR, 1.42; 95% CI, 1.19 to 1.82) were significantly associated with TB status. Conclusions: The duration of long-term social contact, rather than the number of contacts, may be the main contact-related factor associated with TB transmission in this population. The focus of contact-tracing efforts should be on finding and treating both family members and long-term contacts in non-household settings.