Risk factors for deaths associated with COVID-19 according to the cause of death classification in Republic of Korea

Objectives@#This study aimed to classify coronavirus disease 2019 (COVID-19)-related deaths according to whether COVID-19 was listed as the cause of death, and to investigate thedifferences in demographic characteristics and risk factors for COVID-19 death classifications. @*Methods@#A total of 5,625 deaths in South Korea among patients with confirmed COVID-19 from January 20, 2020 to December 31, 2021 were selected. Excluding false reports and unnatural deaths, 5,597 deaths were analyzed. Based on death report data, deaths were classified according to whether the cause of death was listed as COVID-19 (CD) or not (NCD). The epidemiological characteristics and causes of deaths were investigated using descriptive, univariate, and multivariate statistical analyses. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to analyze the risk factors. @*Results@#The case fatality ratio was 0.89% and increased with age. Additionally, 96.4% of the subjects had an underlying disease, and 53.4% died in winter. The proportion of NCDs was 9.3%, of whom 19.1% died at home and 39.0% were confirmed to have COVID-19 after death. Malignant neoplasms (102/416 vs. 637/4,442; OR, 1.71; 95% CI, 1.36−2.16; p < 0.001) were significantly associated with NCD. @*Conclusion@#This is the first study to analyze risk factors by cause of death using COVID-19death report data in South Korea. These results are expected to be used as evidence forestablishing a death monitoring system that can collect timely information in a new infectiousdisease pandemic.

Risk Factors for Sudden Death Within 2 Days After Diagnosis of COVID-19 in Korea

Background@#We aimed to analyze the risk factors for sudden death after diagnosis of coronavirus disease 2019 (COVID-19) in South Korea and to provide evidence for informing prevention and control interventions for patients at risk of sudden death. @*Methods@#We included 30,302 COVID-19 related deaths registered in the patient management information system (Central Disease Control Headquarters) between January 1, 2021, and December 15, 2022. We collected their epidemiological data recorded by the reporting city, province, or country. We performed multivariate logistic regression analysis to identify risk factors for sudden death after diagnosis of COVID-19. @*Results@#Among the 30,302 deaths, there were 7,258 (24.0%) and 23,044 (76.0%) sudden and non-sudden deaths, respectively. Sudden death means a person who died within 2 days of diagnosis and who did not receive inpatient treatment. Underlying condition, vaccination status, and place of death were significantly associated with the survival period in all age groups. Moreover, region, sex, and prescription were significantly associated with the survival period only in certain age groups. However, reinfection was not significantly associated with the survival period in any age group. @*Conclusion@#To our knowledge, this is the first study on the risk factors for sudden death after a diagnosis of COVID-19, which included age, underlying condition, vaccination status, and place of death. Additionally, individuals aged < 60 years without an underlying condition were at high risk for sudden death. However, this group has relatively low interest in health, as can be seen from the high non-vaccination rate (16.1% of the general population vs. 61.6% of the corresponding group). Therefore, there is a possibility for the presence of an uncontrolled underlying disease in this population. In addition, many sudden deaths occurred due to delayed hospital visits to continue economic activities even after the onset of COVID-19 symptoms (7 days overall vs. 10 days average for the group). In conclusion, ‘continued interest in health’ is a key factor in avoiding sudden death in the economically active group (under 60 years of age).

Pediatric Deaths Associated With Coronavirus Disease 2019 (COVID-19) in Korea

As of September 3, 2022, 5,388,338 coronavirus disease 2019 (COVID-19) cases and 46 deaths (3 in 2021 and 43 in 2022) were reported in children ≤ 18 years in Korea. Cumulative confirmed cases accounted for 67.3% of the population aged ≤ 18 years and case fatality rate was 0.85/100,000. Among 46 fatal cases, 58.7% were male and median age was 7 years.Underlying diseases were present in 47.8%; neurologic diseases (63.6%) and malignancy (13.6%) most common. Only four had history of COVID-19 immunization. COVID-19 associated deaths occurred at median 2 days from diagnosis (range: −1 to 21). Among COVID-19 deaths, 41.3% occurred before admission; 2 before hospital arrival and 17 in the emergency department. Among children whose cause was documented, myocarditis, respiratory and multiorgan failure were most common. COVID-19 associated death was seen early after diagnosis in children and public health policies to provide access to medical care for children with COVID-19 are essential during the pandemic.

An Outbreak of Novel Influenza A (H1N1) in the English Language Institute / 예방의학회지

OBJECTIVES: This report describes the results of an investigation on an outbreak of novel influenza A (H1N1) in an English language Institute in Seoul, Korea in May 2009. METHODS: In this outbreak, novel influenza A (H1N1) was confirmed in 22 of 91 trainees, trainers and staff members. The trainees and 2 staff members were isolated in an assigned facility and the rest were isolated in their homes after we discovered the first patient with novel influenza A (H1N1). After the isolation, the people in the assigned facility were educated to use N95 respirators and they received oseltamivir for prophylaxis. RESULTS: The initial findings in this study suggest that the symptoms were mild and similar to those of seasonal influenza. The classmates and roommates of the infected patients were more likely to get infected with novel influenza A (H1N1) than the trainees who were not classmates or roommates of the patients (OR: 3.19, 95% CI=0.91 - 11.11 for classmates and OR: 40.0, 95% CI=7.4-215.7 for roommates). CONCLUSIONS: The public health response seems successful in terms of preventing the spread of this virus into the local community.

A Hospital-based Tabletop Exercise for Pandemic Influenza Preparedness: Design and Evaluation

BACKGROUND: To evaluate the usefulness and compliance of a hospital-based tabletop exercise in setting of pandemic influenza in hospitals. MATERIALS AND METHODS: Tabletop exercise was held in Pusan National University Hospital and forty two hospital employees were invited to participate in the exercise. The scenario for hospital-based tabletop exercise was designed. It consisted of three modules, which simulated the influx and outbreak of H5N1 influenza that was epidemic in Southeast Asia. Pre-, post-exercise surveys were completed by anonymous questions. RESULTS: Thirty-seven (88%) of 42 invited participants attended exercise. All members of the administration group and the ancillary services group participated. But, only 77% members of the clinical services group participated. In pre-exercise survey, priorities of eight goals regarding skills and knowledge during exercise were inquired., The highest priorities pointed out by the respondents were "Increase the knowledge of pandemic influenza" (22%), "Development of strategies for optimal communication among employees within specific department" (19%) and "Development of strategies for improved coordination between facilities within the health system" (19%). Twenty-one (57%) of participants completed the post-exercise surveys. At post-exercise surveys, 81% of the participants stated that the tabletop exercise was extremely or very useful, 86% of the participants also stated that it increased their knowledge of pandemic influenza. CONCLUSION: Tabletop exercise is an effective modality for increasing pandemic influenza preparedness in hospitals, and this method is useful for guiding preparedness activities within the hospital environment. Further studies to determine the appropriate method of discussion, questionnaire, duration of exercise and injection are needed.

A Hospital-based Tabletop Exercise for Pandemic Influenza Preparedness: Design and Evaluation

BACKGROUND: To evaluate the usefulness and compliance of a hospital-based tabletop exercise in setting of pandemic influenza in hospitals. MATERIALS AND METHODS: Tabletop exercise was held in Pusan National University Hospital and forty two hospital employees were invited to participate in the exercise. The scenario for hospital-based tabletop exercise was designed. It consisted of three modules, which simulated the influx and outbreak of H5N1 influenza that was epidemic in Southeast Asia. Pre-, post-exercise surveys were completed by anonymous questions. RESULTS: Thirty-seven (88%) of 42 invited participants attended exercise. All members of the administration group and the ancillary services group participated. But, only 77% members of the clinical services group participated. In pre-exercise survey, priorities of eight goals regarding skills and knowledge during exercise were inquired., The highest priorities pointed out by the respondents were "Increase the knowledge of pandemic influenza" (22%), "Development of strategies for optimal communication among employees within specific department" (19%) and "Development of strategies for improved coordination between facilities within the health system" (19%). Twenty-one (57%) of participants completed the post-exercise surveys. At post-exercise surveys, 81% of the participants stated that the tabletop exercise was extremely or very useful, 86% of the participants also stated that it increased their knowledge of pandemic influenza. CONCLUSION: Tabletop exercise is an effective modality for increasing pandemic influenza preparedness in hospitals, and this method is useful for guiding preparedness activities within the hospital environment. Further studies to determine the appropriate method of discussion, questionnaire, duration of exercise and injection are needed.

A review of mathematical models and strategies for Pandemic Influenza Control / 한국역학회지

Despite many countries' current effort to make mathematical models for pandemic influenza (PI) and predict the impact of an outbreak, natural history of PI is remains incomplete, so that any assumption or model is unable to completely predict the impact. Our objective is to review and summarize previous studies on parameters and models of PI, and to make suggestions for the controls in order to decrease the impact of PI. We searched PubMed to retrieve literature about the PI model systematically . Reference lists and review papers on the topic were searched, as well. We found 35 articles that examined the PI model over the period of May 2003 to August 2008. We reviewed modelling methods that were focused on the PI, and their parameters i.e. latent period, and basic reproductive number (R0). Then, we summarized PI controls: antivirals, vaccines, and social distancing. Recent studies showed with mathematical models that Targeted Antiviral Prophylaxis (TAP) is the best strategy for containing PI at the source. In case of an outbreak, quick measures of social distancing, including therapeutic and prophylatic antiviral for cases and closing contacts - school closure, workplace closure, border quarantine, and home isolation - were found to be most effective. We reviewed strengths and weaknesses of models that are adaptable in Korea, and summarized their parameters. It is our hope that these strategies with various interventions give important information for future preparation for and response to PI in Korea.