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Article: Clinical Characteristics and Severity of Respiratory Syncytial Virus Infection in Korean Children during the Post-COVID-19 Pandemic Period.

Kim, Ye Eun / Kang, Dayun / Park, Ji Soo / Choi, Eun Hwa / Yun, Ki Wook

2024 Volume 56, Issue 1, Page(s) 83–87

Abstract: We aimed to evaluate the clinical features of respiratory syncytial virus (RSV) infection and risk factors for severe RSV disease among Korean children in 2022/2023. A total of 235 children were identified, and 84.3% were hospitalized. Patients under 3 ... ...

Abstract	We aimed to evaluate the clinical features of respiratory syncytial virus (RSV) infection and risk factors for severe RSV disease among Korean children in 2022/2023. A total of 235 children were identified, and 84.3% were hospitalized. Patients under 3 months and 2 years of age accounted for 20.9% and 54.5%, respectively. Pneumonia was diagnosed in 40.9% of children and bronchiolitis in 23.8%. Respiratory support and intensive care were required in 43.4% and 7.7% of patients, respectively.
Language	English
Publishing date	2024-03-13
Publishing country	Korea (South)
Document type	Journal Article
ZDB-ID	2573798-3
ISSN	2093-2340
ISSN	2093-2340
DOI	10.3947/ic.2023.0076
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Article ; Online: An analysis of the dynamic spatial spread of COVID-19 across South Korea

Dayun Kang / Jungsoon Choi / Yeonju Kim / Donghyok Kwon

Scientific Reports, Vol 12, Iss 1, Pp 1-

2022 Volume 13

Abstract: Abstract The first case of coronavirus disease 2019 (COVID-19) in South Korea was confirmed on January 20, 2020, approximately three weeks after the report of the first COVID-19 case in Wuhan, China. By September 15, 2021, the number of cases in South ... ...

Abstract	Abstract The first case of coronavirus disease 2019 (COVID-19) in South Korea was confirmed on January 20, 2020, approximately three weeks after the report of the first COVID-19 case in Wuhan, China. By September 15, 2021, the number of cases in South Korea had increased to 277,989. Thus, it is important to better understand geographical transmission and design effective local-level pandemic plans across the country over the long term. We conducted a spatiotemporal analysis of weekly COVID-19 cases in South Korea from February 1, 2020, to May 30, 2021, in each administrative region. For the spatial domain, we first covered the entire country and then focused on metropolitan areas, including Seoul, Gyeonggi-do, and Incheon. Moran’s I and spatial scan statistics were used for spatial analysis. The temporal variation and dynamics of COVID-19 cases were investigated with various statistical visualization methods. We found time-varying clusters of COVID-19 in South Korea using a range of statistical methods. In the early stage, the spatial hotspots were focused in Daegu and Gyeongsangbuk-do. Then, metropolitan areas were detected as hotspots in December 2020. In our study, we conducted a time-varying spatial analysis of COVID-19 across the entirety of South Korea over a long-term period and found a powerful approach to demonstrating the current dynamics of spatial clustering and understanding the dynamic effects of policies on COVID-19 across South Korea. Additionally, the proposed spatiotemporal methods are very useful for understanding the spatial dynamics of COVID-19 in South Korea.
Keywords	Medicine ; R ; Science ; Q
Subject code	333
Language	English
Publishing date	2022-06-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
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Article ; Online: An analysis of the dynamic spatial spread of COVID-19 across South Korea.

Kang, Dayun / Choi, Jungsoon / Kim, Yeonju / Kwon, Donghyok

Scientific reports

2022 Volume 12, Issue 1, Page(s) 9364

Abstract: The first case of coronavirus disease 2019 (COVID-19) in South Korea was confirmed on January 20, 2020, approximately three weeks after the report of the first COVID-19 case in Wuhan, China. By September 15, 2021, the number of cases in South Korea had ... ...

Abstract	The first case of coronavirus disease 2019 (COVID-19) in South Korea was confirmed on January 20, 2020, approximately three weeks after the report of the first COVID-19 case in Wuhan, China. By September 15, 2021, the number of cases in South Korea had increased to 277,989. Thus, it is important to better understand geographical transmission and design effective local-level pandemic plans across the country over the long term. We conducted a spatiotemporal analysis of weekly COVID-19 cases in South Korea from February 1, 2020, to May 30, 2021, in each administrative region. For the spatial domain, we first covered the entire country and then focused on metropolitan areas, including Seoul, Gyeonggi-do, and Incheon. Moran's I and spatial scan statistics were used for spatial analysis. The temporal variation and dynamics of COVID-19 cases were investigated with various statistical visualization methods. We found time-varying clusters of COVID-19 in South Korea using a range of statistical methods. In the early stage, the spatial hotspots were focused in Daegu and Gyeongsangbuk-do. Then, metropolitan areas were detected as hotspots in December 2020. In our study, we conducted a time-varying spatial analysis of COVID-19 across the entirety of South Korea over a long-term period and found a powerful approach to demonstrating the current dynamics of spatial clustering and understanding the dynamic effects of policies on COVID-19 across South Korea. Additionally, the proposed spatiotemporal methods are very useful for understanding the spatial dynamics of COVID-19 in South Korea.
MeSH term(s)	COVID-19/epidemiology ; Humans ; Pandemics ; Republic of Korea/epidemiology ; Spatial Analysis ; Spatio-Temporal Analysis
Language	English
Publishing date	2022-06-07
Publishing country	England
Document type	Case Reports ; Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-022-13301-2
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Article ; Online: Bayesian zero-inflated spatio-temporal modelling of scrub typhus data in Korea, 2010-2014

Dayun Kang / Jungsoon Choi

Geospatial Health, Vol 13, Iss

2018 Volume 2

Abstract: Scrub typhus, a bacterial, febrile disease commonly occurring in the autumn, can easily be cured if diagnosed early. However, it can develop serious complications and even lead to death. For this reason, it is an important issue to find the risk factors ... ...

Abstract	Scrub typhus, a bacterial, febrile disease commonly occurring in the autumn, can easily be cured if diagnosed early. However, it can develop serious complications and even lead to death. For this reason, it is an important issue to find the risk factors and thus be able to prevent outbreaks. We analyzed the monthly scrub typhus data over the entire areas of South Korea from 2010 through 2014. A 2-stage hierarchical framework was considered since weather data are covariates and the scrub typhus data have different spatial resolutions. At the first stage, we obtained the administrative-level estimates for weather data using a spatial model; in the second, we applied a Bayesian zero-inflated spatio-temporal model since the scrub typhus data include excess zero counts. We found that the zero-inflated model considering the spatio-temporal interaction terms improves fitting and prediction performance. This study found that low humidity and a high proportion of elderly people are significantly associated with scrub typhus incidence.
Keywords	Scrub typhus ; Spatial Kriging ; Spatio-temporal model ; Zero-inflated Poisson model ; Bayesian hierarchical modelling ; Geography (General) ; G1-922
Subject code	310
Language	English
Publishing date	2018-11-01T00:00:00Z
Publisher	PAGEPress Publications
Document type	Article ; Online
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Article ; Online: Bayesian zero-inflated spatio-temporal modelling of scrub typhus data in Korea, 2010-2014.

Kang, Dayun / Choi, Jungsoon

Geospatial health

2018 Volume 13, Issue 2

Abstract	Scrub typhus, a bacterial, febrile disease commonly occurring in the autumn, can easily be cured if diagnosed early. However, it can develop serious complications and even lead to death. For this reason, it is an important issue to find the risk factors and thus be able to prevent outbreaks. We analyzed the monthly scrub typhus data over the entire areas of South Korea from 2010 through 2014. A 2-stage hierarchical framework was considered since weather data are covariates and the scrub typhus data have different spatial resolutions. At the first stage, we obtained the administrative-level estimates for weather data using a spatial model; in the second, we applied a Bayesian zero-inflated spatio-temporal model since the scrub typhus data include excess zero counts. We found that the zero-inflated model considering the spatio-temporal interaction terms improves fitting and prediction performance. This study found that low humidity and a high proportion of elderly people are significantly associated with scrub typhus incidence.
MeSH term(s)	Aged ; Aged, 80 and over ; Bayes Theorem ; Humans ; Incidence ; Models, Statistical ; Republic of Korea/epidemiology ; Risk Factors ; Scrub Typhus/epidemiology ; Seasons ; Socioeconomic Factors ; Spatio-Temporal Analysis ; Weather
Language	English
Publishing date	2018-11-09
Publishing country	Italy
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2276179-2
ISSN	1970-7096 ; 1827-1987
ISSN (online)	1970-7096
ISSN	1827-1987
DOI	10.4081/gh.2018.665
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Article ; Online: Interplays between cyanobacterial blooms and antibiotic resistance genes.

Kim, Min-Ji / Kang, Dayun / Lee, GyuDae / Kim, Kyeongnam / Kim, Jinnam / Shin, Jae-Ho / Lee, Seungjun

Environment international

2023 Volume 181, Page(s) 108268

Abstract: Cyanobacterial harmful algal blooms (cyanoHABs), which are a form of microbial dysbiosis in freshwater environments, are an emerging environmental and public health concern. Additionally, the freshwater environment serves as a reservoir of antibiotic ... ...

Abstract	Cyanobacterial harmful algal blooms (cyanoHABs), which are a form of microbial dysbiosis in freshwater environments, are an emerging environmental and public health concern. Additionally, the freshwater environment serves as a reservoir of antibiotic resistance genes (ARGs), which pose a risk of transmission during microbial dysbiosis, such as cyanoHABs. However, the interactions between potential synergistic pollutants, cyanoHABs, and ARGs remain poorly understood. During cyanoHABs, Microcystis and high microcystin levels were dominant in all the nine regions of the river sampled. The resistome, mobilome, and microbiome were interrelated and linked to the physicochemical properties of freshwater. Planktothrix and Pseudanabaena competed with Actinobacteriota and Proteobacteria during cyanoHABs. Forty two ARG carriers were identified, most of which belonged to Actinobacteriota and Proteobacteria. ARG carriers showed a strong correlation with ARGs density, which decreased with the severity of cyanoHAB. Although ARGs decreased due to a reduction of ARG carriers during cyanoHABs, mobile gene elements (MGEs) and virulence factors (VFs) genes increased. We explored the relationship between cyanoHABs and ARGs for potential synergistic interaction. Our findings demonstrated that cyanobacteria compete with freshwater commensal bacteria such as Actinobacteriota and Proteobacteria, which carry ARGs in freshwater, resulting in a reduction of ARGs levels. Moreover, cyanoHABs generate biotic and abiotic stress in the freshwater microbiome, which may lead to an increase in MGEs and VFs. Exploration of the intricate interplays between microbiome, resistome, mobilome, and pathobiome during cyanoHABs not only revealed that the mechanisms underlying the dynamics of microbial dysbiosis but also emphasizes the need to prioritize the prevention of microbial dysbiosis in the risk management of ARGs.
MeSH term(s)	Humans ; Anti-Bacterial Agents/pharmacology ; Dysbiosis/genetics ; Cyanobacteria/genetics ; Drug Resistance, Microbial/genetics ; Microcystis ; Genes, Bacterial
Chemical Substances	Anti-Bacterial Agents
Language	English
Publishing date	2023-10-18
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	554791-x
ISSN	1873-6750 ; 0160-4120
ISSN (online)	1873-6750
ISSN	0160-4120
DOI	10.1016/j.envint.2023.108268
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Article ; Online: Relationship between freshwater harmful algal blooms and neurodegenerative disease incidence rates in South Korea.

Lee, Seungjun / Choi, Boseung / Kim, Sung Jae / Kim, Jinnam / Kang, Dayun / Lee, Jiyoung

Environmental health : a global access science source

2022 Volume 21, Issue 1, Page(s) 116

Abstract: Background: Due to anthropogenic activities and global warming, the severity and distribution of harmful algal blooms (HABs) have been increasing steadily worldwide, including in South Korea (S. Korea). Previous studies reported that exposure to HABs ... ...

Abstract	Background: Due to anthropogenic activities and global warming, the severity and distribution of harmful algal blooms (HABs) have been increasing steadily worldwide, including in South Korea (S. Korea). Previous studies reported that exposure to HABs could increase the risk of HAB-related diseases. However, very few studies examined the linkage between HABs and disease occurrence, particularly in S. Korea. The objective of this study was to evaluate the potential impact of HABs on neurodegenerative diseases (NDs), including Alzheimer's disease, Parkinson's disease, and motor neuron disease, at a population level. Methods: Thirteen-year data (2005-2017) for chlorophyll-a (chl-a) concentrations as a bloom-related parameter, annual numbers of NDs, and population information were collected. First, the entire area of S. Korea was divided into a grid of 1 km, and the population number in each 1-km grid was collected using the Statistical Geographic Information Service Plus system. Cross-sectional time series data were analyzed with two statistical models, a generalized linear mixed model and a generalized linear model. Results: The results show a general trend of increasing chl-a concentration and NDs year by year. We observed positive correlations between HAB intensity and the incidence rate of NDs. Particularly, HABs seem to have the most long-term carry-over effect on Parkinson's disease. Another key finding was that a 5-km radius from the HAB location was the boundary that showed the most significant associations with three NDs. Conclusions: This study provides statistical evidence that supports the potential risk of NDs from the exposure to HAB. Thus, it is recommended to monitor a broad spectrum of cyanotoxins, including neurotoxins, in bloom-affected regions in S. Korea and epidemiological studies in the future.
MeSH term(s)	Humans ; Cross-Sectional Studies ; Fresh Water ; Harmful Algal Bloom ; Incidence ; Neurodegenerative Diseases/chemically induced ; Neurodegenerative Diseases/epidemiology ; Parkinson Disease/epidemiology
Language	English
Publishing date	2022-11-26
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2092232-2
ISSN	1476-069X ; 1476-069X
ISSN (online)	1476-069X
ISSN	1476-069X
DOI	10.1186/s12940-022-00935-y
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Article ; Online: Spatial epidemic dynamics of the COVID-19 outbreak in China

Dayun Kang / Hyunho Choi / Jong-Hun Kim / Jungsoon Choi

International Journal of Infectious Diseases, Vol 94, Iss , Pp 96-

2020 Volume 102

Abstract: Background: On 31 December 2019 an outbreak of COVID-19 in Wuhan, China, was reported. The outbreak spread rapidly to other Chinese cities and multiple countries. This study described the spatio-temporal pattern and measured the spatial association of ... ...

Abstract	Background: On 31 December 2019 an outbreak of COVID-19 in Wuhan, China, was reported. The outbreak spread rapidly to other Chinese cities and multiple countries. This study described the spatio-temporal pattern and measured the spatial association of the early stages of the COVID-19 epidemic in mainland China from 16 January–06 February 2020. Methods: This study explored the spatial epidemic dynamics of COVID-19 in mainland China. Moran’s I spatial statistic with various definitions of neighbours was used to conduct a test to determine whether a spatial association of the COVID-19 infections existed. Results: The spatial spread of the COVID-19 pandemic in China was observed. The results showed that most of the models, except medical-care-based connection models, indicated a significant spatial association of COVID-19 infections from around 22 January 2020. Conclusions: Spatial analysis is of great help in understanding the spread of infectious diseases, and spatial association was the key to the spatial spread during the early stages of the COVID-19 pandemic in mainland China.
Keywords	COVID-19 ; Spatial autocorrelation ; Spatial analysis ; China ; Infectious and parasitic diseases ; RC109-216 ; covid19
Subject code	950
Language	English
Publishing date	2020-05-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
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Article ; Online: Spatial epidemic dynamics of the COVID-19 outbreak in China.

Kang, Dayun / Choi, Hyunho / Kim, Jong-Hun / Choi, Jungsoon

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases

2020 Volume 94, Page(s) 96–102

Abstract	Background: On 31 December 2019 an outbreak of COVID-19 in Wuhan, China, was reported. The outbreak spread rapidly to other Chinese cities and multiple countries. This study described the spatio-temporal pattern and measured the spatial association of the early stages of the COVID-19 epidemic in mainland China from 16 January-06 February 2020. Methods: This study explored the spatial epidemic dynamics of COVID-19 in mainland China. Moran's I spatial statistic with various definitions of neighbours was used to conduct a test to determine whether a spatial association of the COVID-19 infections existed. Results: The spatial spread of the COVID-19 pandemic in China was observed. The results showed that most of the models, except medical-care-based connection models, indicated a significant spatial association of COVID-19 infections from around 22 January 2020. Conclusions: Spatial analysis is of great help in understanding the spread of infectious diseases, and spatial association was the key to the spatial spread during the early stages of the COVID-19 pandemic in mainland China.
MeSH term(s)	Betacoronavirus ; COVID-19 ; China/epidemiology ; Cities ; Coronavirus Infections/epidemiology ; Disease Outbreaks ; Epidemics ; Humans ; Pandemics ; Pneumonia, Viral/epidemiology ; SARS-CoV-2
Keywords	covid19
Language	English
Publishing date	2020-04-03
Publishing country	Canada
Document type	Journal Article
ZDB-ID	1331197-9
ISSN	1878-3511 ; 1201-9712
ISSN (online)	1878-3511
ISSN	1201-9712
DOI	10.1016/j.ijid.2020.03.076
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Article ; Online: Correction to: Recombinant Adiponectin Peptide Ameliorates Brain Injury Following Intracerebral Hemorrhage by Suppressing Astrocyte-Derived Inflammation via the Inhibition of Drp1-Mediated Mitochondrial Fission.

Wu, Xun / Luo, Jianing / Liu, Haixiao / Cui, Wenxing / Guo, Kang / Zhao, Lei / Bai, Hao / Guo, Wei / Guo, Hao / Feng, Dayun / Qu, Yan

Translational stroke research

2022 Volume 14, Issue 6, Page(s) 1004

Language	English
Publishing date	2022-09-22
Publishing country	United States
Document type	Published Erratum
ZDB-ID	2541897-X
ISSN	1868-601X ; 1868-4483
ISSN (online)	1868-601X
ISSN	1868-4483
DOI	10.1007/s12975-022-01085-6
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