• Healthcare Informatics Research
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• v.24 no.4
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• pp.253-262
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• 2018

Objectives: We reviewed digital epidemiological studies to characterize how researchers are using digital data by topic domain, study purpose, data source, and analytic method. Methods: We reviewed research articles published within the last decade that used digital data to answer epidemiological research questions. Data were abstracted from these articles using a data collection tool that we developed. Finally, we summarized the characteristics of the digital epidemiological studies. Results: We identified six main topic domains: infectious diseases (58.7%), non-communicable diseases (29.4%), mental health and substance use (8.3%), general population behavior (4.6%), environmental, dietary, and lifestyle (4.6%), and vital status (0.9%). We identified four categories for the study purpose: description (22.9%), exploration (34.9%), explanation (27.5%), and prediction and control (14.7%). We identified eight categories for the data sources: web search query (52.3%), social media posts (31.2%), web portal posts (11.9%), webpage access logs (7.3%), images (7.3%), mobile phone network data (1.8%), global positioning system data (1.8%), and others (2.8%). Of these, 50.5% used correlation analyses, 41.3% regression analyses, 25.6% machine learning, and 19.3% descriptive analyses. Conclusions: Digital data collected for non-epidemiological purposes are being used to study health phenomena in a variety of topic domains. Digital epidemiology requires access to large datasets and advanced analytics. Ensuring open access is clearly at odds with the desire to have as little personal data as possible in these large datasets to protect privacy. Establishment of data cooperatives with restricted access may be a solution to this dilemma.

• The Journal of Information Systems
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• v.29 no.4
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• pp.123-135
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• 2020

Purpose The purpose of this study is to investigate the development process and the effectiveness of the EISS (epidemiological investigation support system), which prevents the spread of infectious diseases like a novel corona virus disease, COVID-19. Design/methodology/approach This study identified the existing epidemiological support system for MERS through prior research and studied the case of the development of a newly developed epidemiological support system based on cloud computing infrastructure for COVID-19 through inter-ministerial collaboration in 2020. Findings The outbreak of COVID-19 drove the Korean Government began the development of the EISS with private companies. This system played a significant role in flattening the spread of infection during several waves in which the number of confirmed cases increased rapidly in Korea, However, we need to be careful in handling confirmed patients' private data affecting their privacy.

• The Journal of Korean Academic Society of Nursing Education
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• v.28 no.4
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• pp.433-443
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• 2022

Purpose: This qualitative study was to understand the awareness of epidemiological investigation tasks for nurses who were in charge of coronavirus disease 2019 (COVID-19) epidemiological investigations. Methods: Before data collection, written consent was obtained from 13 participants, and the data were then collected from September 1 to December 31, 2021. Individual interviews were conducted and recorded by video interview using Zoom, and data were transcribed verbatim. Four themes were derived by using the qualitative thematic analysis method. Results: The participants perceived that epidemiological investigations were burdensome but that the field work was important, and that expertise and collaboration were required. The participants started work without preparation due to the explosive increase in the number of confirmed COVID-19 cases, and they recognized work conflicts, unstable employment, and exhaustion as obstacles to their work performance. On the other hand, the participants took pride in contributing to the national epidemiological investigation and control and felt a sense of responsibility as nursing professionals. Finally, participants mentioned that the training of infectious disease practitioner was important for work improvement. Conclusion: Further research is needed on the development of standardized manuals for the training of nursing personnel as infectious disease specialists through the job analysis of epidemiological investigators.

• Journal of applied mathematics & informatics
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• v.28 no.5_6
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• pp.1359-1378
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• 2010

The effect of impulse in the ecological models makes them more realistic. Recently, the eco-epidemiological models have become an important field of study from the both mathematical and ecological view points. In this article, we consider some eco-epidemiological systems under the influence of impulsive force. A set of sufficient conditions for the permanence of the system are derived. Stability of the trivial solution and at least one strictly positive periodic solution are obtained. Numerical examples are given in support to our analytical findings. Finally, a short discussion concludes the paper.

• Journal of Environmental Health Sciences
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• v.48 no.3
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• pp.138-150
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• 2022

Background: Epidemiology is a fundamental study of public health, including environmental health, since the features and causes of diseases discovered through epidemiology provide crucial information for developing successful disease prevention strategies. Objectives: This paper tried to define the role and function of epidemiologic research in the field of environmental health, summarize examples of epidemiological studies with regard to selected environmental health events in South Korea, and address important issues that should be considered when conducting epidemiological research in the future. Methods: Epidemiological studies of selected environmental health events were reviewed and summarized in terms of their contribution to environmental health in South Korea. Based on the information, important issues were suggested for future epidemiological studies in environmental health. Results: The role and function of epidemiologic research in the field of environmental health includes the systematic description of the health effects caused by environmental exposure, verification of the causal relationship between environmental exposure and health effects, and provision of background data for conducting prevention strategies and developing policies. A number of epidemiological studies have contributed to characterizing and assessing the environmental risks involved in a series of environmental health events in South Korea. Conclusions: Important issues for future epidemiological studies may include health effects from chronic low-level environmental exposure, application of analytical epidemiology to elucidate causal relationships, use of exposure/disease/susceptibility biomarkers, accurate reconstruction of past exposure status, cohort recruitment and long-term follow-up, and in-advance surveillance of diseases with environmental causes.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.49 no.6
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• pp.838-844
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• 2016

In this study, epidemiological cut-off values were estimated for 44 Photobacterium damselae isolates, since clinical breakpoints have not been established for this pathogenic bacterium. The susceptibility of the isolates to 10 antibiotics was evaluated using internationally standardized disc diffusion protocols. Normalized resistance interpretation was used to generate statistically valid epidemiological cut-off values for the susceptibility data. There were not enough strains exhibiting full sensitivity to ampicillin and amoxicillin to allow analysis of these antibiotics. Because there were only a marginally sufficient number of strains exhibiting full sensitivity to oxytetracycline, the cut-off value generated provided only a provisional estimate. The valid wild-type cut-off values were <13, 13, 9, 22, 25, 27, and 28 mm for gentamicin, cephalexin, erythromycin, oxolinic acid, flumequine, florfenicol, and sulfamethoxazole/trimethoprim, respectively. The application of these cut-off values should greatly facilitate the rational selection of antibiotics for use in commercial fish farms.

• The Journal of Korean Medicine
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• v.44 no.3
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• pp.47-58
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• 2023

Objectives: This study aimed to investigate the epidemiological characteristics of COVID-19 in Chungju City from July to December 2021. Methods: The authors processed and analyzed the epidemiological analysis report written by researcher. The estimated reproduction rate was analyzed using web-based software that calculates time-varying reproduction numbers. The results were analyzed through univariate multiple regression analysis, with a maximum significance level set at 0.05. Results: During the study period, a total of 1,188 patients were identified, with 7.9% of them progressing to a severe status. The maximum reproduction rate recorded was 3.48. Factors associated with the transition to a severe status included the presence of symptoms at the time of diagnosis, lack of vaccination, and belonging to the age group over 40. Conclusion: Based on the findings of this study, it can be strongly supported that the measures implemented in Chungju City, such as social distancing, vaccination, and preemptive diagnostic tests, were appropriate. Furthermore, it demonstrates that Chungju City effectively managed the impact of COVID-19. Korean Medicine Doctors made significant contributions to the epidemiological investigations of COVID-19. To comprehensively manage infectious diseases, it is crucial to provide administrative and legal support and encourage active research to expand the role of Korean Medicine Doctors in this area.

• Journal of the Korean Society of School Health
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• v.17 no.2
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• pp.63-71
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• 2004

Purpose: This study was conducted to identify the epidemiological characteristics of school accidents in middle school students. Methods: The subjects in this study were the students of a middle school in Gangnung. The study period was one semester, from March 2 to July 15, 1999. Data were collected by one of the authors using a structured questionnaire, and the subjects who had school accidents and visited the school health care office were interviewed. The data was analyzed using the SPSS and SAS programs. Results: The semester incidence rate per 100 students was 31.6 cases. The daily accident rate was 2.8 cases, and the accident incidence density was 2.6 cases per 1,000 students days. The mean of accident incidence was 1.7 per student. The incidence was the highest in June. The most frequent cause of accidents was carelessness, and the accidents were most frequent at recess. Conclusion: It is necessary to conduct the analytic epidemiological study to identify the risk factors of school accidents.

• Journal of Medicine and Life Science
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• v.20 no.3
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• pp.107-114
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• 2023

Epidemiological control of coronavirus disease 2019 (COVID-19) is needed to estimate the infection period of confirmed cases and identify potential cases. The present study, targeting confirmed cases for which the time of COVID-19 symptom onset was disclosed, aimed to investigate the relationship between intervals (day) from symptom onset to testing the cycle threshold (CT) values of real-time reverse transcription-polymerase chain reaction. Of the COVID-19 confirmed cases, those for which the date of suspected symptom onset in the epidemiological investigation was specifically disclosed were included in this study. Interval was defined as the number of days from symptom onset (as disclosed by the patient) to specimen collection for testing. A locally weighted regression smoothing (LOWESS) curve was applied, with intervals as explanatory variables and CT values (CTR for RdRp gene and CTE for E gene) as outcome variables. After finding its non-linear relationship, a polynomial regression model was applied to estimate the 95% confidence interval values of CTR and CTE by interval. The application of LOWESS in 331 patients identified a U-shaped curve relationship between the CTR and CTE values according to the number of interval days, and both CTR and CTE satisfied the quadratic model for interval days. Active application of these results to epidemiological investigations would minimize the chance of failing to identify individuals who are in contact with COVID-19 confirmed cases, thereby reducing the potential transmission of the virus to local communities.

• Genomics & Informatics
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• v.12 no.4
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• pp.203-207
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• 2014

Hepatitis is a common and serious disease for the Korean population. It is caused by a virus, the A and B types of which are plentiful in Koreans. In this study, we tried to find genetic factors for hepatitis through genome-wide association studies. We took 368 cases and 1,500 controls from Anseong and Ansan cohort data. About 300,000 single-nucleotide polymorphisms and 20 epidemiological variables were analyzed. We did not find any meaningful significant single nucleotide polymorphisms, but we confirmed the influence of major epidemiological variables on hepatitis.