Quality evaluation of infectious disease surveillance data in Lianyungang City in 2017 - 2021 / 公共卫生与预防医学

Objective To evaluate the quality of infectious disease surveillance data and provide scientific basis for improving data quality and health decision-making. Methods The comprehensive index of infectious disease monitoring system evaluation and the integrity, accuracy and reliability of infectious disease report data were used to evaluate the quality of infectious disease monitoring data in multiple dimensions. Results In 2021, The comprehensive evaluation index of infectious disease surveillance system was 98.40%. In terms of data integrity, 1 105 data were missing, and the incomplete rate was 1.46%; In terms of data accuracy, 1978 cases were not accurately, rate of accuracy was 26.72%; In terms of data reliability, the card reporting rate of tertiary medical institutions accounted for 67.05%, the diagnosis rate of confirmed cases was 27.74%, and the correction rate of report card was 28.48%. Conclusion The accuracy and reliability of infectious disease data are insufficient, and new methods for infectious disease monitoring data quality are expanded to make up for the lack of data quality evaluation of the current national epidemic system.

Trends of Bacterial Zoonoses in Humans in Korea

Out of 60 national communicable diseases in Korea, 23 are zoonoses, diseases transmissible from animals to humans. Among the bacterial zoonoses, plague, brucellosis, anthrax, Q fever, tularemia, glanders, and melioidosis are categorized as a high-level threat of bioterrorism and biowarfare in the world. In this paper, the trends of notifiable bacterial zoonoses recently occurring or recurring in Korea and other potential pathogens for bioterrorism or biowarfare are reviewed. Notifiable bacterial zoonoses recently occurring in Korea are enterohemorrhagic Escherichia coli (EHEC) infection, tetanus, tuberculosis, scrub typhus, leptospirosis, brucellosis, and anthrax. Other bacterial diseases recently emerging are tularemia, ehrlichiosis, and Q fever. However, no human case of plague, glanders, and melioidosis has been reported yet.

Evaluation of the Completeness of Case Reporting during the 1998 Cheju-do Mumps Epidemic, Using Capture-recapture Methods / 예방의학회지

OBJECTIVES: To estimate mumps incidence during the study period and to evaluate the completeness of case reporting. METHODS: Capture-recapture methods, originally developed for counting wildlife animals, were used. The data sources were 1) the National Notifiable Communicable Disease Reporting System (NNCDRS; 848 cases), 2) the School Health Reporting System, temporarily administered by the Division of Education (SHRS; 1,026 cases), and 3) a survey of students (785 cases). We estimated the number of unobserved mumps cases by matching the three data sources and fitting loglinear models to the data. We then determined the estimated total number of mumps cases by adding this to the number of observed cases. Completeness was defined as the proportion of observed cases from each source to the total of estimated cases. RESULTS: The total number of observed cases was 1,844 and the total number of estimated cases was 1,935 (95% CI: 1,878-2,070). The overall completeness was 43.8% of the NNCDRS, 53.0% of the SHRS, and 40.6% of the survey. However, completeness varied by area and age. CONCLUSION: Although the completeness of NNCDRS data appeared higher than in the past, it is difficult to generalize this result. In Korea, it is possible to estimate the size of health hazards relatively cheaply and quickly, by applying capture-recapture methods to various data using a multiple data collection system.

A Forecasting Model for the Epidemic of Nationally Notifiable Communicable Diseases in Korea / 한국역학회지

PURPOSES: The authors derived two forecasting models which can be used as objective tools for detecting epidemics and predicting the future frequencies of communicable diseases. METHODS: In this study, regression analysis using trigonometric functions, Box and Jenkins's seasonal ARIMA model were applied to the monthly accumulated data of five nationally notifiable communicable diseases from January 1987 to December 1998 in Korea. RESULTS: Between two forecasting models, seasonal ARIMA model gives more precise predicted frequencies than regression model in the neighborhood of the current time points and future time, but the regression model is better in overall agreement between the predicted and observed frequencies during 7 years(1992-1998). CONCLUSIONS: These forecasting models can be usefully applied in deciding and carrying out a national policy in preventing epidemics in the future, and graphic program is much helpful to understand the present status of disease occurrence.