Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 1 de 1
Filtrar
Más filtros











Base de datos
Intervalo de año de publicación
1.
Disaster Med Public Health Prep ; 12(2): 172-175, 2018 04.
Artículo en Inglés | MEDLINE | ID: mdl-28831946

RESUMEN

OBJECTIVES: This study aimed to examine a range of factors influencing the long-term recovery of New York City residents affected by Hurricane Sandy. METHODS: In a series of logistic regressions, we analyzed data from a survey of New York City residents to assess self-reported recovery status from Hurricane Sandy. RESULTS: General health, displacement from home, and household income had substantial influences on recovery. Individuals with excellent or fair health were more likely to have recovered than were individuals with poor health. Those with high and middle income were more likely to have recovered than were those with low income. Also, individuals who had not experienced a decrease in household income following Hurricane Sandy had higher odds of recovery than the odds for those with decreased income. Additionally, displacement from the home decreased the odds of recovery. Individuals who applied for assistance from the Build it Back program and the Federal Emergency Management Agency had lower odds of recovering than did those who did not apply. CONCLUSIONS: The study outlines the critical importance of health and socioeconomic factors in long-term disaster recovery and highlights the need for increased consideration of those factors in post-disaster interventions and recovery monitoring. More research is needed to assess the effectiveness of state and federal assistance programs, particularly among disadvantaged populations. (Disaster Med Public Health Preparedness. 2018;12:172-175).


Asunto(s)
Tormentas Ciclónicas , Víctimas de Desastres/rehabilitación , Salud Pública/métodos , Víctimas de Desastres/estadística & datos numéricos , Estado de Salud , Vivienda/normas , Vivienda/estadística & datos numéricos , Humanos , Renta/estadística & datos numéricos , Modelos Logísticos , Ciudad de Nueva York , Salud Pública/estadística & datos numéricos , Factores Socioeconómicos , Encuestas y Cuestionarios
SELECCIÓN DE REFERENCIAS
DETALLE DE LA BÚSQUEDA