A5075748908- COVID-19 epidemiological studies
- Mathematical and Theoretical Epidemiology and Ecology Models
- Marine Bivalve and Aquaculture Studies
- COVID-19 diagnosis using AI
- Marine and fisheries research
- COVID-19 Pandemic Impacts
- Fish Ecology and Management Studies
- Influenza Virus Research Studies
- Climate variability and models
- Viral Infections and Vectors
- Stroke Rehabilitation and Recovery
- SARS-CoV-2 and COVID-19 Research
- Ichthyology and Marine Biology
- Image Processing and 3D Reconstruction
- Meteorological Phenomena and Simulations
- Evolution and Genetic Dynamics
- COVID-19 Clinical Research Studies
- Climate Change and Health Impacts
- Precipitation Measurement and Analysis
- Aquaculture Nutrition and Growth
- Malaria Research and Control
- Data-Driven Disease Surveillance
- Cephalopods and Marine Biology
- Viral gastroenteritis research and epidemiology
- Hydrology and Drought Analysis
Kangwon National University
2022-2024
Pusan National University
2011-2022
On March 15, 2020, 61.3% of the confirmed cases COVID-19 infection in South Korea are associated with worship service that was organized on February 9 Shincheonji Church Jesus Daegu. We aim to evaluate effects mass and assess preventive control intervention.Using openly available data daily cumulative deaths, basic effective reproduction numbers estimated using a modified susceptible-exposed-infected-recovered-type epidemic model.The number be R0=1.77. The increased approximately 20 times...
The coronavirus disease (COVID-19) pandemic has spread rapidly across the world, creating an urgent need for predictive models that can help healthcare providers prepare and respond to outbreaks more quickly effectively, ultimately improve patient care. Early detection warning systems are crucial preventing controlling epidemic spread. In this study, we aimed propose a machine learning-based method predict transmission trend of COVID-19 new approach detect start time by analyzing...
The Coronavirus disease of 2019 (COVID-19) is an ongoing public health concern worldwide. COVID-19 infections continue to occur and thus, it important assess the effects various measures. This study aims forecast cases by geographical area in Korea, based on different control-intervention intensities (CII). Methods involved estimating effective reproduction number (Rt) Korean using SEIHR model, instantaneous statistical comparing epidemic curves high-, intermediate-, low-intensity control...
Abstract This study analyzes the impact of COVID-19 variants on cost-effectiveness across age groups, considering vaccination efforts and nonpharmaceutical interventions in Republic Korea. We aim to assess costs needed reduce cases deaths using age-structured model. The proposed model transmission dynamics, evaluates effectiveness, assesses Delta Omicron variants. is fitted data from Korea between February 2021 November 2022. interventions, medical costs, cost death for different groups are...
Background The norovirus is a major cause of acute gastroenteritis at all ages but particularly has high chance affecting children under the age five. Given that outbreak in Korea seasonal, it important to try and predict start end outbreaks. Methods We predicted weekly warnings using six machine learning algorithms test data from 2017 2018 training 2009 2016. In addition, we proposed novel method for early detection calculated risk index. Further, feature importance was evaluate...
Abstract Severe fever with thrombocytopenia syndrome (SFTS) is an emerging tick-borne infectious disease in China, Japan, and Korea. This study aimed to estimate the monthly SFTS occurrence number of cases geographical area Korea using epidemiological data including demographic, geographic, meteorological factors. Important features were chosen through univariate feature selection. Two models machine learning methods analyzed: classification model (CMML) regression (RMML). We developed a...
Controlling the number of tumor cells leads us to expect more efficient strategies for treatment tumor. Towards this goal, a tumor-immune model with state-dependent impulsive treatments is established. This may give an schedule control tumor’s abnormal growth. By using Poincaré map and analogue criterion, some conditions existence stability positive order-1 periodic solution are obtained. Moreover, we carry out numerical simulations illustrate feasibility our main results compare fixed-time...
To estimate age-specific natural mortality, we proposed an age-structured biomass model with impulsive dynamical system. In the estimation of considered growth rate and also reproduction rate, growth, catch sandfish, Arctoscopus japonicus. Assuming a linear relationship between observed values per unit effort (CPUE) total estimated by model, mortality using CPUE data, from 1994 to 2009, for varying assumed initial in 1994, selecting largest coefficient determination (R2). We suggested...
Precipitation prediction is important to help mitigate the effects of drought and floods on various social economic activities. This research improve forecasting skill over Tanzania by providing suitable combinations physical parameterization schemes horizontal grid spacing Weather Research Forecasting (WRF) model for daily Tanzania. The performance different precipitation systems during wet dry seasons evaluated such that sensitivity tests was performed WRF at resolutions, (convective cloud...
The Japanese sea lion (Z. japonicus) has been regarded as an extinct species since the last report on Dokdo in 1951. Not much ecological information Z. japonicus (hereafter lion) is currently available. Using a discrete time stage-structured population model, we reconstructed to explore effect of human hunting pressure them. This study provides first estimate for from 1900 capture numbers and parameters estimated this were well matched with recorded reported previously Californian lion....
<sec> <title>BACKGROUND</title> In the face of rapid spread coronavirus disease (COVID-19) pandemic, predicting COVID-19 can help healthcare providers prepare and respond to outbreaks more quickly effectively, ultimately leading better care for patients. </sec> <title>OBJECTIVE</title> We aimed develop a method detect early or identify potential using machine learning (ML) by analyzing epidemiological data in Republic Korea. <title>METHODS</title> ML methods were developed predict...