Use of Syndromic Surveillance Information for Expanded Assessment of Wildfire Disaster
PDF
HTML

How to Cite

Johnson, J., Ginsberg, M., French, N., Thelen, B., & Koziol, B. (2013). Use of Syndromic Surveillance Information for Expanded Assessment of Wildfire Disaster. Online Journal of Public Health Informatics, 5(1). https://doi.org/10.5210/ojphi.v5i1.4513

Abstract

This presentation describes how syndromic surveillance information was combined with fire emission and spatio-temporal fire data to model and forecast climate change impacts on future fire scenarios. During 2003 and 2007, wildfires ravaged San Diego County. Various data were used to evaluate, model and predict future fire events. Several findings came out of this work. One result suggests that during the next three decades, San Diego County will experience approximately two extreme fire seasons in each decade by 2040. This study demonstrates utility of syndromic data for collaborative work resulting in better understanding of environmental interactions on human health.
https://doi.org/10.5210/ojphi.v5i1.4513
PDF
HTML
Authors own copyright of their articles appearing in the Online Journal of Public Health Informatics. Readers may copy articles without permission of the copyright owner(s), as long as the author and OJPHI are acknowledged in the copy and the copy is used for educational, not-for-profit purposes. Share-alike: when posting copies or adaptations of the work, release the work under the same license as the original. For any other use of articles, please contact the copyright owner. The journal/publisher is not responsible for subsequent uses of the work, including uses infringing the above license. It is the author's responsibility to bring an infringement action if so desired by the author.