Analyzing Social Vulnerability as a Proxy for Damage in Hurricane Michael

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2026

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Abstract

Working with the American Red Cross and using the FEMA Individuals and Households Program (IHP) valid registrations data set, we explore the relationship between socially vulnerable populations and the damage that occurred to their homes from Hurricane Michael. We then consider how this information can be used to more effectively target response efforts in these areas, including estimates for sheltering needs and where to focus initial on-the-ground damage assessments.

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American Red Cross, housing damage, negative binomial regression, social vulnerability, weather data

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