Coronavirus disease 2019 (COVID-19) led to the loss of lives and had serious social and economic effects. Countries implemented various quarantine policies to reduce the effects. The countries were divided into low- and high-risk groups based on the differences in quarantine policies and their levels of infection. Quarantine policies that significantly contributed to risk reduction were determined by analyzing 11 quarantine indicators for reducing the spread of COVID-19. The cross-tabulation and Chi-square tests were used to compare the quarantine policies by the groups. Multivariate logistic regression was used to determine the useful quarantine policies implemented by the low-risk group to verify quarantine policies for minimizing the negative effects. The analysis showed that the low- and medium-risk groups showed significant differences for 9 of the 11 indicators, and 4 of these differentiated the low- from the medium-risk group. Countries with strict quarantine policies related to workplace closure and staying at home were more likely to be included in the low-risk group. These policies had a significant impact in the low-risk countries and could contribute to reducing the spread and effects of COVID-19 in countries included in the high-risk group.
Recently, large-scale natural disasters have frequently hit our life from extreme climate change. Especially summer typhoons and regional downpours have caused more flooding damage than ever before. To effectively prevent the natural disasters, it is required to establish an emergent information system making use of spatial and geographical information and the state-of-the art technologies such as GIS, IT and Remote Sensing. In addition, it is necessary to overcome the limits of the existing two-dimensional GIS and to respond to various, complex demands from users. Accordingly, this study was aimed at making Database about damage information with the use of high-definition spatial images and field investigations, and thereby at expressing three-dimensional information on the damage beyond the existing two-dimensional information. This study had been conducted on the region at Seobyeok-ri, Bonghwa-gun, Gyeongsangbuk-do, which suffered a massive damage caused by downpour at the end of July, 2008. Based on the investigation, this study explored the status of relevant damage, and divided the damage according to the 『2008 Guidelines on the investigation of natural disasters and the establishment of restoration planning.』In addition, it extracted contour lines and elevation points from a 1/5,000 digital topographic map to create a digital elevation model (DEM), and with the use of the height values in the DEM, it produced a three-dimensional disaster simulation of the damaged region. Therefore, it is determined to allow the public to raise awareness on the disaster due to its realistic description and to help policy makers make a decision on relevant issues.
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