Literature DB >> 22700026

Using a geographic information system (GIS) to assess pediatric surge potential after an earthquake.

Jacqueline W Curtis1, Andrew Curtis, Jeffrey S Upperman.   

Abstract

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.

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Year:  2012        PMID: 22700026     DOI: 10.1001/dmp.2012.25

Source DB:  PubMed          Journal:  Disaster Med Public Health Prep        ISSN: 1935-7893            Impact factor:   1.385


  2 in total

1.  Tsunami evacuation simulation using geographic information systems for homecare recipients depending on electric devices.

Authors:  Hisao Nakai; Tomoya Itatani; Ryo Horiike; Kaoru Kyota; Keiko Tsukasaki
Journal:  PLoS One       Date:  2018-06-21       Impact factor: 3.240

2.  Pattern and spectrum of tornado injury and its geographical information system distribution in Yancheng, China: a cross-sectional study.

Authors:  Qiangyu Deng; Yipeng Lv; Chen Xue; Peng Kang; Junqiang Dong; Lulu Zhang
Journal:  BMJ Open       Date:  2018-06-22       Impact factor: 2.692

  2 in total

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