The Severe Disaster Punishment Act had recently been established in order to promote safety and health (OSH) management system for severe accident prevention. OSH management system is primarily designed based on risk assessments; however, companies in industries have been experiencing difficulties in hazard identification and selecting proper measures for risk assessments and accident prevention. This study intended to introduce an accident analysis method based on epidemiological model in finding hazard and preventive measures. The accident analysis method employed in this study was proposed by the U.S. Department of Energy. To demonstrate the effectiveness of the accident analysis method, this study applied it to two accident cases occurred in construction and manufacturing industries. The application process and results of this study can be utilized in improving OSH management system and preventing severe accidents.

Through an integration of seasonal climate forecasts (SCF) and rice pest epidemiological models, a potential risk forrice pest epidemics can be predicted even before a cropping season starts. The objective of the study was to developand evaluate an epidemiological “rtdSim” model for tungro, a vector-born rice disease, aiming at predicting a seasonaltungro risk in the Bicol Region of the Philippines. Predicting tungro epidemics requires many components explaining thecomplex nature of the three-cornered pathosystems (virus, vector, and host) and their interactions with environmental variables.The rtdSim model successfully calculated number of rice hills infected with the rice tungro virus through its vector, thegreen leafhopper (GLH). The present study highlights the potential for developing a climate-based early warning systemfor rice pests, thus allowing better decision-making on a seasonal level.

Epidemic models on disease spread attempt to simulate disease transmission and associated control processes. This study reviewed published papers on epidemiological models for the management of foot-and-mouth disease in the world. In addition, an individual animal-based, spatially-explicit, stochastic disease transmission model, the Davis Animal Disease Simulation (DADS) model, was described in the frame of an international collaborative research project participating three countries: Republic of Korea, USA, and New Zealand. In this project, the Korean team is aiming at developing the most appropriate parameters for livestock and epidemiology of foot-and-mouth disease outbreaks. On the other hand, the purpose of foreign counterparts is validating their models: DADS (USA) and InterSpread Plus (New Zealand). Classification of farm types and preliminary estimations on the frequency of intra-herd contacts were also presented. This research project is expected to provide precious information to plan a strategy that will facilitate the eradication of foot-and-mouth disease from Korea.