Using a geographic information system (GIS) to assess pediatric surge potential after an earthquake.
Geographic information systems (GIS) and geospatial technology (GT) can help hospitals improve plans for postdisaster surge by assessing numbers of potential patients in a catchment area and providing estimates of special needs populations, such as pediatrics. In this study, census-derived variables are computed for blockgroups within a 3-mile radius from Children's Hospital Los Angeles (CHLA) and from Los Angeles County-University of Southern California (LAC-USC) Medical Center. Landslide and liquefaction zones are overlaid on US Census Bureau blockgroups. Units that intersect with the hazard zones are selected for computation of pediatric surge potential in case of an earthquake. In addition, cartographic visualization and cluster analysis are performed on the entire 3-mile study area to identify hot spots of socially vulnerable populations. The results suggest the need for locally specified vulnerability models for pediatric populations. GIS and GT have untapped potential to contribute local specificity to planning for surge potential after a disaster. Although this case focuses on an earthquake hazard, the methodology is appropriate for an all-hazards approach. With the advent of Google Earth, GIS output can now be easily shared with medical personnel for broader application and improvement in planning.
Department of Geography, Kent State University, Kent, Ohio 44242, USA. jacquelinewmills@gmail.com
Jacqueline W
JW
Curtis
Andrew
A
Curtis
Jeffrey S
JS
Upperman
D002648:Child; D002675:Child, Preschool; D016000:Cluster Analysis; D004189:Disaster Planning / Q000458:organization & administration*; D055866:Earthquakes; D005260:Female; D040362:Geographic Information Systems; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D015141:Los Angeles; D008297:Male; D020380:Needs Assessment / Q000458:organization & administration; D010372:Pediatrics / Q000458:organization & administration*; D012111:Residence Characteristics; D012959:Socioeconomic Factors; D055872:Surge Capacity / Q000458:organization & administration* / Q000706:statistics & numerical data