{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T14:20:35Z","timestamp":1778941235256,"version":"3.51.4"},"reference-count":0,"publisher":"Weston Medical Publishing","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Am J Disaster Med"],"abstract":"<jats:p>Objective: To describe the methods of evaluating currently available triage models for their efficacy in appropriately triaging the surge of patients after an all-hazards disaster.Design: A method was developed for evaluating currently available triage models using extracted data from medical records of the victims from the Graniteville chlorine disaster.Setting: On January 6, 2005, a freight train carrying three tanker cars of liquid chlorine was inadvertently switched onto an industrial spur in central Graniteville, SC. The train then crashed into a parked locomotive and derailed. This caused one of the chlorine tankers to rupture and immediately release ~60 tons of chlorine. Chlorine gas infiltrated the town with a population of 7,000.Participants: This research focuses on the victims who received emergency care in South Carolina.Results:\u00a0With our data mapping and decision tree logic, the authors were successful in using the available extracted clinical data to estimate triage categories for use in our study.Conclusions: The methodology outlined in this article shows the potential use of well-designed secondary analysis methods to improve mass casualty research.The steps are reliable and repeatable and can easily be extended or applied to other disaster datasets.<\/jats:p>","DOI":"10.5055\/ajdm.2013.0116","type":"journal-article","created":{"date-parts":[[2014,6,11]],"date-time":"2014-06-11T18:02:45Z","timestamp":1402509765000},"page":"97-111","source":"Crossref","is-referenced-by-count":9,"title":["Gleaning data from disaster: A hospital-based data mining method to study all-hazard triage after a chemical disaster"],"prefix":"10.5055","volume":"8","author":[{"given":"Jean B.","family":"Craig, PhD, MS, BS","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joan M.","family":"Culley, PhD, MPH, MS, RN, CWOCN","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abbas S.","family":"Tavakoli, DrPH, MPH, ME","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Erik R.","family":"Svendsen, PhD, MS, BS","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"3008","published-online":{"date-parts":[[2013,4,1]]},"container-title":["American Journal of Disaster Medicine"],"original-title":[],"link":[{"URL":"https:\/\/www.wmpllc.org\/ojs\/index.php\/ajdm\/article\/viewFile\/2125\/2175","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.wmpllc.org\/ojs\/index.php\/ajdm\/article\/viewFile\/2125\/2175","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,2,11]],"date-time":"2021-02-11T16:03:40Z","timestamp":1613059420000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.wmpllc.org\/ojs\/index.php\/ajdm\/article\/view\/2125"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,4,1]]},"references-count":0,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2013,4,1]]}},"URL":"https:\/\/doi.org\/10.5055\/ajdm.2013.0116","relation":{},"ISSN":["1932-149X","1932-149X"],"issn-type":[{"value":"1932-149X","type":"electronic"},{"value":"1932-149X","type":"print"}],"subject":[],"published":{"date-parts":[[2013,4,1]]}}}