ArticleJugan geon-gang gwa jilbyeong2024
[Introduction of Respiratory Infectious Disease Sentinel Surveillance Systems and Assessment Results].
Article in Jugan geon-gang gwa jilbyeong, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Epidemiology of Severe Acute Respiratory Infection in Korea: 2022 to 2024 Surveillance Data.Tuberculosis and respiratory diseases · 2025Article
- Surveillance System for Infectious Disease Prevention and Management: Direction of Korea's Infectious Disease Surveillance System.Journal of Korean medical science · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Korea Disease Control and Prevention Agency operates a sentinel surveillance system for major respiratory infections such as influenza, a class 4 infectious disease, in accordance with the Infectious Disease Prevention and Control Act (hereinafter referred to as the Infectious Disease Prevention Act). Accordingly, to systematically evaluate the performance, quality of data, and usefulness of the respiratory infectious disease sentinel surveillance system and seek future development directions, a research service was provided to evaluate the adequacy of the operation of the respiratory infectious disease sentinel surveillance system from August 2023 to February 2024. In order to evaluate the sensitivity of the surveillance system, the correlation coefficient was high in the Pearson's correlation analysis between the number of reported cases of influenza and respiratory syncytial virus among the sentinel surveillance data and the number of claims for the corresponding diseases (excluding duplicates) from the Health Insurance Review and Assessment Service, indicating excellent sensitivity. In addition, the representativeness was examined through a correlation analysis between the number of sentinel surveillance medical institutions by administrative district and the number of appropriate surveillance institutions according to the population ratio and the current number of surveillance institutions, and this was also evaluated as having excellent representativeness due to a high correlation coefficient. Based on this, considering that various respiratory infectious diseases will occur regularly in the future, it is necessary to continuously improve and strengthen the respiratory infectious disease sentinel surveillance system, such as by expanding the number of sentinel surveillance institutions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.