RESUMEN
Objective@#Predicting the incidence of emergency patients can be very important for the efficient use of emergency medical resources and the deployment of 119 centers in a pre-hospital setting. The study was conducted to analyze the occurrence of emergency patients using geographic information systems in a pre-hospital setting in Korea. @*Methods@#The basic data used in this study were collected from the 119 centers in Chuncheon-si, Korea, under the firefighting headquarters in Gangwon-do from January 2012 to December 2016. @*Results@#The total number of patients transferred by 119 paramedics was 72,362. Of these, 9,904 (14.7%) were emergency patients; 519 (0.7%) had cardiovascular diseases; 383 (0.5%) had cerebrovascular diseases; 3,043 (4.2%) were trauma patients; 58,413 (80.7%) were non-emergency patients. The occurrence of emergency diseases was slightly lower in the Hyoja-dong area, and it was slightly higher in the area of the outskirts of the city. The incidence of heart disease was low in the Hyoja-dong and Nam-myeon areas, but the incidence of heart disease was highly observed in other areas. The number of trauma patients was 1,265 (41.6%) in the outskirts of the city, a suburban area, showing a relatively higher incidence than other emerging diseases. @*Conclusion@#The deployment of ambulances in Chuncheon-si should be carried out considering demographic characteristics and patient occurrence.
RESUMEN
To investigate the transmission pattern of geographical area and temporal trends of the 2010~2011 foot-and-mouth disease (FMD) outbreaks in Korea, and to explore temporal intervals at which spatial clustering of FMD cases space-time analysis based on georeferenced database of 3,575 burial sites, from 30 November 2010 to 23 February 2011, was performed. The cases represent approximately 98.1% of all infected farms (n = 3,644) during the same period. Descriptive maps of spatial patterns of the outbreaks were generated by ArcGIS. Spatial Scan Statistics, using SaTScan software, was applied to investigate geographical clusters of FMD cases across the country. Overall, spatial heterogeneity was identified, and the transmission pattern was different by province. Cattle have more clusters in number but smaller in size, as compared to the swine population. In addition, spatiotemporal analysis and the comparison of clustering patterns between the first 7 days and days 8 to 14 of the outbreak revealed that the strongest spatial clustering was identified at the 7-day interval, although clustering over longer intervals (8~14 days) was also observed. We further discussed the importance of time period elapsed between FMD-suspected notice and the date of confirmation, and emphasized the necessity of region-specific and species-specific control measures.