Trial reportScientific reports2019
Complementing conventional infectious disease surveillance with national health insurance claims data in the Republic of Korea.
Trial report in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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.
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Who cites it
12 citing papers in PubMed, 20 citations in OpenAlex.
- Performance of an Electronic Sentinel Surveillance System for Bacterial Gastroenteritis: Mixed Methods Evaluation Study.JMIR public health and surveillance · 2026Article
- SWOT strategy for future global health security: insights from Indonesia, Cambodia, Vietnam, Dominican Republic, Ghana, and the Republic of Korea using the World Health Organization International Health Regulations monitoring tool.Osong public health and research perspectives · 2025Article
- AI-driven epidemic intelligence: the future of outbreak detection and response.Frontiers in artificial intelligence · 2025Article
- Changes in seasonality and sex ratio of scrub typhus: a case study of South Korea from 2003 to 2019 based on wavelet transform analysis.BMC infectious diseases · 2024Article
- Clinically Defined Lymphogranuloma Venereum among US Veterans with Human Immunodeficiency Virus, 2016-2023.Microorganisms · 2024Article
- Prognostic models for short-term annual risk of severe complications and mortality in patients living with type 2 diabetes using a national medical claim database.Diabetology & metabolic syndrome · 2023Article
- Infectious diseases prevention and control using an integrated health big data system in China.BMC infectious diseases · 2022Article
- Quality of National Disease Surveillance Reporting before and during COVID-19: A Mixed-Method Study in Indonesia.International journal of environmental research and public health · 2022Article
- Impact of COPD on COVID-19 prognosis: A nationwide population-based study in South Korea.Scientific reports · 2021Article
- Recent increase in pertussis incidence in Korea: an age-period-cohort analysis.Epidemiology and health · 2021Article
- Effect of Underlying Comorbidities on the Infection and Severity of COVID-19 in Korea: a Nationwide Case-Control Study.Journal of Korean medical science · 2020Article
- Article
Corrections and comments
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Authors and funding
12 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Surveillance remains an important tool for timely outbreak detection and response. Many countries, including Korea, have established national infectious disease surveillance systems with clinical notification. We aimed to evaluate the National Health Insurance Claims-based Surveillance (NHICS) compared to conventional passive report-based National Infectious Diseases Surveillance (NIDS). Reported to claimed cases ratios (R/C ratio) were evaluated from monthly notifiable disease cases captured by NIDS and NHICS. The relationships between 26 infectious diseases and each surveillance system were analysed using Pearson's correlation analysis and linear regression. There was an overall increase in R/C ratio from 2010-2017 (0.37 to 0.78). In 22 infectious diseases, there was a correlation between NIDS and NHICS. Moreover, claim-based surveillance showed less fluctuating disease incidence rates than report-based surveillance for specific infectious diseases, such as varicella, mumps, and scarlet fever. However, for infectious diseases with episodic outbreaks or low incidence, it was difficult to assess NHICS usefulness. Claim-based surveillance is less affected by limitations of conventional report-based surveillance systems, such as reporting rate. Given delays in claim systems, a claim-based surveillance is expected to be complementary to conventional systems for the detection of various infectious diseases with the advancement of bio-information technology.
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