Hurricane Ike rapid needs assessment - Houston, Texas, September 2008

Morbidity and Mortality Weekly Report

Volumn 58, Issue 38, 2009, Pages 1066-1071

[No Author Info available]

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CATERING SERVICE; CYCLONE; GEOGRAPHIC INFORMATION SYSTEM; HEALTH CARE DELIVERY; HOUSING; HUMAN; INFORMATION PROCESSING; NEEDS ASSESSMENT; ORGANIZATION AND MANAGEMENT; POWER SUPPLY; UNITED STATES;

CYCLONES; DATA COLLECTION; DELIVERY OF HEALTH CARE; ELECTRIC POWER SUPPLIES; FOOD SUPPLY; GEOGRAPHIC INFORMATION SYSTEMS; HOUSING; HUMANS; NEEDS ASSESSMENT; TEXAS;

EID: 70349760032     PISSN: 01492195     EISSN: 1545861X     Source Type: Journal    
DOI: None     Document Type: Article

References (8)

1. Federal Emergency Management Authority. Hurricane Ike impact report. 2008. Available at http://www.fema.gov/pdf/hazard/hurricane/2008/ike/impact_report.pdf. Accessed January 21, 2009.
2. Sanchez, LA. 2008 Hurricane Ike related cases; September 25, 2008. Houston, TX: Harris County Medical Examiner's Office; 2008. Available at http://www.hctx.net/cmpdocuments/21/hurricanes/ike02.pdf.
3. Malilay J, Flanders WD, Brogan D. A modified cluster-sampling method for post-disaster rapid assessment of needs. Bull World Health Organ 1996;74:399-405.
4. City of Houston Office of Emergency Management. Houston area evacuation map. Available at http://www.houstonoem.net/go/doc/1855/247859/. Accessed June 16, 2009.
5. Waring SC, Reynolds KM, D'Souza GA, Arafat RR. Tropical Storm Allison rapid needs assessment-Houston, Texas, June 2001. MMWR 2002;51:365-9.
6. US Department of Homeland Security. Hurricane Ike impact report: special needs populations impact assessment source document. October 2008. Available at www.disabilitypreparedness.gov/pdf/ike_snp.pdf.
7. CDC. Rapid community needs assessment after Hurricane Katrina-Hancock County, Mississippi, September 14-15, 2005. MMWR 2006;55:234-6.
8. Milligan P, Njie A, Bennett S. Comparison of two cluster sampling methods for health surveys in developing countries. Intl J Epidemiol 2004;33:469-76.