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Epidemiologic Reviews 2005 27(1):9-12; doi:10.1093/epirev/mxi009
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Epidemiologic Reviews Copyright © 2005 by the Johns Hopkins Bloomberg School of Public Health All rights reserved

ARTICLES

Methodological Challenges and Contributions in Disaster Epidemiology

Francesca Dominici1, Jonathan I. Levy2 and Thomas A. Louis1

1 Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD
2 Department of Environmental Health and Risk Assessment, Harvard School of Public Health, Boston, MA

Correspondence to Dr. Francesca Dominici, Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, 615 North Wolfe Street, Baltimore, MD 21205 (e-mail: fdominic@jhsph.edu).

Received for publication February 28, 2005; accepted for publication March 25, 2005.


MUPS, medically unexplained physical symptoms • PTSD, post-traumatic stress disorder

The first 150 words of the full text of this article appear below.


    INTRODUCTION
 
Considering the very unusual and extreme situations under which a disaster and the corresponding adverse health responses occur, it is challenging to provide a unified methodological framework for disaster epidemiology. In this commentary, we identify targets of estimation and common challenges in estimating the quantities of interest. In some cases, we discuss methodological contributions and future work regarding the design and analysis of epidemiologic studies of disasters. To ground our points, we refer to some of the papers published in this issue.

Although disasters occur in a wide variety of settings and circumstances, it is possible to identify several methodological challenges and commonalities in the epidemiologic studies of disasters published in this issue. These provide a platform for developing statistical methods to assess short- and long-term adverse health effects of disasters and to predict consequences of future disasters.

Disasters have been defined as acute, collectively experienced traumatic events, with a . . . [Full Text of this Article]


    ESTIMATION TARGETS
 

    ESTIMATING PREVALENCE
 

    ESTIMATING THE EXPOSURE-RESPONSE RELATION
 

    CROSS-SECTIONAL VERSUS COHORT STUDIES
 

    PREDICTING THE FUTURE OCCURRENCE OF A DISASTER
 

    SURVEILLANCE SYSTEMS
 

    THE MEDIA
 

    CONCLUSIONS
 

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