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Impact of Dual-Polarization Radar Technology and Twitter on the Hattiesburg, Mississippi Tornado

Part of: Tornadoes collection

Published online by Cambridge University Press:  21 January 2014

Alexis L. Cates ,
Brent W. Arnold ,
Guy Paul Cooper Jr ,
Violet Yeager ,
Josh Stake ,
Mohammed Ali ,
Richard C. Calderone ,
James Wilkinson ,
Edbert Hsu  and
Steven Parrillo
...Show all authors
Alexis L. Cates
Affiliation:
William Carey University College of Osteopathic Medicine, Hattiesburg, Mississippi
Brent W. Arnold
Affiliation:
William Carey University College of Osteopathic Medicine, Hattiesburg, Mississippi
Guy Paul Cooper Jr
Affiliation:
William Carey University College of Osteopathic Medicine, Hattiesburg, Mississippi
Violet Yeager
Affiliation:
William Carey University College of Osteopathic Medicine, Hattiesburg, Mississippi
Josh Stake
Affiliation:
William Carey University College of Osteopathic Medicine, Hattiesburg, Mississippi
Mohammed Ali
Affiliation:
William Carey University College of Osteopathic Medicine, Hattiesburg, Mississippi
Richard C. Calderone
Affiliation:
William Carey University College of Osteopathic Medicine, Hattiesburg, Mississippi
James Wilkinson
Affiliation:
William Carey University College of Osteopathic Medicine, Hattiesburg, Mississippi
Edbert Hsu
Affiliation:
Johns Hopkins University, Department of Emergency Medicine, Baltimore, Maryland
Steven Parrillo
Affiliation:
Albert Einstein Healthcare Network, Department of Emergency Medicine, Philadelphia, Pennsylvania
Steven Piper
Affiliation:
William Carey University College of Osteopathic Medicine, Hattiesburg, Mississippi
Italo Subbarao*
Affiliation:
William Carey University College of Osteopathic Medicine, Hattiesburg, Mississippi
*
Address correspondence and reprint requests to Italo Subbarao, DO, MBA, 498 Tuscan Ave, Hattiesburg, MS 39401 (e-mail [email protected]).
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Abstract

Objective

Dual-Polarization Radar and Twitter were analyzed to determine the impact on injuries sustained by the Hattiesburg EF-4 tornado.

Method

Tracking data provided from the Dual-Pol radar systems in National Weather Service Jackson were reviewed. Twitter data from four local Twitter handles were obtained. The change in tweets and followers for the day of the storm were compared to historical averages. A Student t-test was utilized in determining statistical significance (p<0.05). Medical records from two local emergency departments were reviewed for patients treated up to 24 hours after the tornado. An Injury Severity Score (ISS) was calculated for trauma records related to the tornado.

Results

Radar detection of the tornado gave approximately 30 minutes of advanced warning time. Statistical significance in follower growth was seen in all four Twitter handles. Out of 50 patients, the average ISS was 3.9 with a range of 1 to 29. There were zero fatalities.

Conclusions

An ISS average of 3.9 was significantly less than two previous tornadoes of similar strength that occurred prior to increased usage of Dual-pol radar and Twitter as a means for communicating severe weather information. Early detection from Dual-pol radar improved warning time. Tweets informed citizens to seek appropriate shelter. (Disaster Med Public Health Preparedness. 2013;7:585-592)

Keywords

Disaster technologyEmergency PreparednessTornadoesRisk CommunicationTraumatic Injury
Type
Original Research
Information
Disaster Medicine and Public Health Preparedness , Volume 7 , Issue 6 , December 2013 , pp. 585 - 592
Copyright
Copyright © Society for Disaster Medicine and Public Health, Inc. 2013 

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References

1. US Census Bureau. Census 2010 demographic profile, Hattiesburg, MS. http://quickfacts.censu.gov/gfd/states/28/2831020.html. Accessed March 2013.Google Scholar
2. National Oceanic and Atmospheric Administration National Weather Service Forecast Office. Pine Belt tornado event; February 10, 2013. http://www.srh.noaa.gov/jan/?n=2013_02_10_11_tor. Accessed July 2013.Google Scholar
3. National Oceanic and Atmospheric Administration. Global climate monitoring: tornado climatology; May 17, 2013. http://www.ncdc.noaa.gov/oa/climate/severeweather/tornadoes.html. Accessed July 2013.Google Scholar
4. Wind Science and Engineering Center Texas Tech University. A recommendation for an enhanced Fujita scale (EF-scale). Lubbock, Texas: Wind Science and Engineering Center Texas Tech University; October 2006. http://www.wind.ttu.edu/EFScale.pdf. Accessed July 2013.Google Scholar
5. Your tornado risk by month. Weather Channel website. http://www.weather.com/news/tornado-central/tornado-risk-by-month-20130315. Assessed May 2013.Google Scholar
6. Cox JD. Redefining tornado alley; April 27, 2010. Discovery News website. http://news.discovery.com/earth/redefining-tornado-alleys.htm. Accessed May 2013.Google Scholar
7. Monthly and annual US tornado summaries National Oceanic and Atmospheric Association National Weather Service Storm Prediction Center website. http://www.spc.noaa.gov/climo/online/monthly/newm.html. Accessed May 2013.Google Scholar
8. Simmons, KM, Suttor, D. Tornado warnings, lead times and tornado casualties: an empirical investigation. Weather Forecast. 2008;23:256-258.Google Scholar
9. Eidson, M, Lybarger, JA, Parsons, JE, MacCormack, JN, Freeman, JI. Risk factors for tornado injuries. Int J Epidemiol. 1990;19:1051-1056.Google Scholar
10. Emergency preparedness and response, tornadoes. Centers for Disease Control and Prevention website. http://emergency.cdc.gov/disasters/tornadoes/. Accessed July 2013.Google Scholar
11. Lunden I. Twitter passed 500 M users in June 2012, 140 M of them in US; Jakarta ‘ biggest Tweeting’ city. TechCrunch website; July 30, 2012. http://techcrunch.com/2012/07/30/analyst-twitter-passed-500m-users-in-june-2012-140m-of-them-in-us-jakarta-biggest-tweeting-city/. Accessed October 2013.Google Scholar
12. Visual history of Twitter. Mashable website. http://mashable.com/2011/09/30/twitter-history-infographic/. Accessed May 2013.Google Scholar
13. Akasaka R, Grafe P, Kondo M. “MeToo” 2.0: an analysis of viral retweets on the Twittersphere. http://snap.stanford.edu/class/cs224w-2010/proj2010/13_projectFinal.pdf. Accessed July 2013.Google Scholar
14. Twitter blog, website. August 11, 2011. https://blog.twitter.com/2011/thu-08112011-0233. Accessed July 2013.Google Scholar
15. National Weather Service on Twitter. National Weather Service website. http://www.weather.gov/twitter. Accessed July 2013.Google Scholar
16. Kerr D. Smart phone ownership reaches critical mass in the U.S. CNET website; June 5, 2013. http://news.cnet.com/8301-1035_3-57587932-94/smartphone-ownership-reaches-critical-mass-in-the-u.s/. Accessed October 2013.Google Scholar
17. Jackson CA. Upgraded radar helped detect Hattiesburg tornado. WDAM website; February 25, 2013. http://www.wdam.com/story/21222336/upgraded-radar-helped-detect-hattiesburg-tornado. Accessed July 2013.Google Scholar
18. Gnip. Twitter data access. Gnip website. http://gnip.com/sources/twitter/. Accessed September 2013.Google Scholar
19. Baker, SP, O'Neill, B, Haddon, W, Long, WB. The injury severity score: a method for describing patients with multiple injuries and evaluating emergency care. J Trauma. 1974;14:187-196.CrossRefGoogle ScholarPubMed
20. Weather-ready nation; April 25, 2013. National Oceanic and Atmospheric Association website. http://www.nws.noaa.gov/com/weatherreadynation/news/130425_dualpol.html. Accessed May 2013.Google Scholar
21. Tornado warnings can save lives; May 29, 2011. Accuweather website. http://www.accuweather.com/en/weather-news/tornado-warnings-can-save-live/50170. Accessed May 2013.Google Scholar
22. Twitter Counter website. Updated 2013. http://twittercounter.com/. Accessed September 2013.Google Scholar
23. Staad A. Statistics: 50 Fun Twitter Facts; Media Bistro website. Updated January 11, 2013. http://www.mediabistro.com/alltwitter/50-twitter-fun-facts_b33589. Accessed November 2013.Google Scholar
24. Media advisory: Tornado emergency, National Weather Service Des Moines, Iowa; March 12, 20120. National Oceanic and Atmospheric Association website. http://www.crh.noaa.gov/images/dmx/Media%20Advisory%202010-01.pdf. Accessed May 2013.Google Scholar
25. Ablah, E, Tinius, AM, Konda, K, Synovitz, C, Subbarao, I. Regional health system response to the 2007 Greensburg, Kansas EF5 tornado. Disaster Med Public Health Prep. 2007;1(2):90-95.Google Scholar
26. Birmingham, Alabama: April 8, 1998 tornado. National Oceanic and Atmospheric Administration National Weather Service Forecast Office website. http://www.srh.noaa.gov/bmx/?n=event_04081998. Accessed July 2013.Google Scholar
27. May, AK, McGwin, G, Lancaster, LJ, etal. The April 8, 1998 tornado: assessment of the trauma system response and the resulting injuries. J Trauma. 2000;48:666-672.Google Scholar
28. Warning sirens installed in Hattiesburg. City of Hattiesburg website; May 31, 2011. http://hattiesburgms.com/news-room/739-warning-sirens. Accessed May 2013.Google Scholar
29. 6 Years later…are we better prepared? Hattiesburg WDAM website; August 29, 2011. http://hattiesburg.wdam.com/news/news/45743-6-years-laterare-we-better-prepared. Accessed July 2013.Google Scholar