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College of Liberal Arts and Human Sciences (CLAHS)

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https://hdl.handle.net/10919/5555
The College of Liberal Arts and Human Sciences includes the arts, humanities, social and human sciences, and education. The College nurtures intellect and spirit, enlightens decision-making, inspires positive change, and improves the quality of life for people of all ages.

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Browsing College of Liberal Arts and Human Sciences (CLAHS) by Subject "1117 Public Health and Health Services"

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    Assessing the impact of municipal government capacity on recovery from Hurricane Maria in Puerto Rico
    Rosas, Etienne; Roberts, Patrick S.; Lauland, Andrew; Gutierrez, I. A.; Nuñez-Neto, Blas (Elsevier, 2021-07-01)
    A municipality's level of public engagement and especially community involvement is associated with a greater rate of recovery in Puerto Rico following Hurricane Maria in 2017. This finding is based on an analysis of the relationship between the capacity of Puerto Rico's 78 municipal governments and their rates of post disaster-recovery, controlling for both exposure to Maria and pre-storm trends. Municipal capacity for community involvement may help activate social capital and the co-production of disaster recovery. Community involvement may increase trust among local officials and residents, increase government's knowledge of community priorities, and help residents access federal and state aid. Other measures of management capacity are not consistently associated with a faster rate of post-disaster recovery. The findings suggest that investing in municipal capacity for public engagement as part of disaster preparedness may provide benefits for disaster recovery. For researchers, the combination of original survey data and readily available post-disaster indicators provides a model for assessing recovery after disaster in the short term.
  • Assessing the Impact of Municipal Government Capacity on Recovery from Hurricane Maria in Puerto Rico
    A municipality’s level of public engagement and especially community involvement is associated with a greater rate of recovery in Puerto Rico following Hurricane Maria in 2017. This finding is based on an analysis of the relationship between the capacity of Puerto Rico’s 78 municipal governments and their rates of post disaster-recovery, controlling for both exposure to Maria and pre-storm trends. Municipal capacity for community involvement may help activate social capital and the co-production of disaster recovery. Community involvement may increase trust among local officials and residents, increase government’s knowledge of community priorities, and help residents access federal and state aid. Other measures of management capacity are not consistently associated with a faster rate of post-disaster recovery. The findings suggest that investing in municipal capacity for public engagement as part of disaster preparedness may provide benefits for disaster recovery. For researchers, the combination of original survey data and readily available post-disaster indicators provides a model for assessing recovery after disaster in the short term.
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    Methodological considerations in pre- and post-emergency network identification and data collection for disaster risk reduction: Lessons from wildfire response networks in the American Northwest
    Faas, A. J.; Velez, Anne-Lise K.; Nowell, Branda L.; Steelman, Toddi A. (Elsevier, 2019-11)
    While social network analysis continues to enjoy considerable attention, literature on social network data collection often lacks explicit attention to methods. This presents special challenges to approaching the problems of undertaking social network analysis and of studying disaster preparedness, planning, and, ultimately, risk reduction. In this paper, we address this issue by presenting our synthesis of several strategies for network analyses from our processes for network identification and data collection in a longitudinal study of multi-jurisdictional, inter-agency wildfire response networks in the American Northwest. In the course of this ongoing project, the process of detecting and collecting data on pre-existing and emergent networks in the real world was not a matter of one theoretical or empirical judgement, but rather several. We alternated between: (1) spatio-ecological detection of jurisdictions adjacent to areas at-risk for large wildfires; (2) a hybrid approach to selecting actors and agencies identified as common participants in wildfire response networks; and (3) event-based detections of parties to specific wildfire response networks. We conclude with steps for thinking through network identification and bounding, integrating networks, conceptualizing rosters and ties in initial and events-based phases, and how to manage longitudinal network data collection.