Using geotagged tweets to track population movements to and from Puerto Rico after Hurricane Maria
The paper examines the suitability of Twitter data for measuring post-disaster population mobility using the case of Hurricane Maria in Puerto Rico.
The paper examines the suitability of Twitter data for measuring post-disaster population mobility using the case of Hurricane Maria in Puerto Rico.
The objective of the paper is to characterize hurricane-related changes in phthalate exposures and experiences within the Puerto Rico Testsite for Exploring Contamination Threats (PROTECT) cohort.
Using 2010-2016 data from the Puerto Rico Vital Statistics System to estimate monthly excess deaths in the immediate aftermath of the hurricane which struck the island in September of 2017, the study clarifies the distinction between direct and indirect effects of disasters such as Hurricane María.
The study provides a detailed account of out-migration from and return migration to Puerto Rico in the quarters and years after Hurricane Maria using data from the Federal Reserve Bank of New York/Equifax Consumer Credit Panel.
The research calculates an environmental Gini coefficient using Toxics Release Inventory (TRI) data from 2000 to 2008 and to quantifies the distribution of toxic releases in Puerto Rico to determine whether environmental inequality exists.
Within the context of rapid population growth and urbanization, this case study explores strategies for long term water and building material conservation in Puerto Rico, a partially closed system.