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Factors Associated with Hurricane Evacuation: A Statistical Meta-Analysis of Studies, 1999-2018

Published online by Cambridge University Press:  13 April 2021

Ibraheem M Karaye*
Affiliation:
Department of Health Professions, Hofstra University, Hempstead, NY, USA
Nicholas Taylor
Affiliation:
Department of Epidemiology and Biostatistics, Texas A&M University, College Station, TX, USA
Maria Perez-Patron
Affiliation:
Department of Epidemiology and Biostatistics, Texas A&M University, College Station, TX, USA
Courtney Thompson
Affiliation:
Department of Geography, Texas A&M University, College Station, TX, USA
Jennifer A Horney
Affiliation:
Program in Epidemiology, University of Delaware, Newark, DE, USA
*
Corresponding author: Ibraheem M Karaye, Email: ibraheem.m.karaye@hofstra.edu.

Abstract

Objective:

Hurricane evacuation is one of the strategies employed by emergency management and other agencies to reduce morbidity and mortality associated with hurricanes. However, factors associated with residents’ evacuation decision-making have been inconsistent. In this study, we conducted a statistical meta-analysis to identify factors associated with hurricane evacuation as well as moderators of the evacuation decision.

Methods:

A systematic literature search identified 36 studies published between 1999 and 2018. Pooled estimates were calculated using random-effects models, and heterogeneity across studies was checked using both Q and I2 statistics. Meta-regression methods were used to identify moderators. Publication bias was assessed using both visual (funnel plots) and statistical methods.

Results:

Mobile home residence, perception of risk, female sex, and Hispanic ethnicity were statistically associated with hurricane evacuation, while geographic region modified the relationship between Hispanic race and evacuation.

Conclusions:

Agencies responsible for preparedness may utilize these findings to identify specific population sub-groups for hurricane evacuation communication and other interventions. Future studies should consider statistical interactions and explore opportunities for research translation to emergency officials.

Type
Original Research
Copyright
© Society for Disaster Medicine and Public Health, Inc. 2021

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