About: As climate change advances, communities across the United States are adapting to the increased threat of wildfires, drought, heatwaves, and infectious diseases. Such disasters are expected to become more frequent and severe. Now more than ever, it is crucial to understand how these events amplify existing inequalities, and how to lessen the resulting harms. Differences in human vulnerability to disaster stem from a range of social, economic, historical, and political factors. We argue that given their social status, undocumented Latino/a and Indigenous immigrants are particularly vulnerable to disasters and require special consideration in disaster planning. They are disproportionately affected by racial discrimination, exploitation, economic hardships, less English and Spanish proficiency, and fear of deportation in their everyday lives— their pre-disaster marginalized status. In the case of the Thomas Fire in California's Ventura and Santa Barbara counties, we show that emergency response and recovery efforts ignored their needs. Resources were directed toward privileged individuals, leaving local immigrant rights and environmental justice groups to provide essential services such as language access to emergency information in Spanish and Indigenous tongues; labor protections for farmworkers endangered in the fields; and a private disaster relief fund for undocumented immigrants ineligible for federal aid. The article concludes with preliminary participant observations from the COVID-19 pandemic response in the region, indicating how lessons from the fire have informed official actions. As governments grapple with the increasing severity of disasters, understanding the differential impacts on undocumented immigrants can help improve disaster planning to protect the most vulnerable and stigmatized populations.   Goto Sponge  NotDistinct  Permalink

An Entity of Type : fabio:Abstract, within Data Space : covidontheweb.inria.fr associated with source document(s)

AttributesValues
type
value
  • As climate change advances, communities across the United States are adapting to the increased threat of wildfires, drought, heatwaves, and infectious diseases. Such disasters are expected to become more frequent and severe. Now more than ever, it is crucial to understand how these events amplify existing inequalities, and how to lessen the resulting harms. Differences in human vulnerability to disaster stem from a range of social, economic, historical, and political factors. We argue that given their social status, undocumented Latino/a and Indigenous immigrants are particularly vulnerable to disasters and require special consideration in disaster planning. They are disproportionately affected by racial discrimination, exploitation, economic hardships, less English and Spanish proficiency, and fear of deportation in their everyday lives— their pre-disaster marginalized status. In the case of the Thomas Fire in California's Ventura and Santa Barbara counties, we show that emergency response and recovery efforts ignored their needs. Resources were directed toward privileged individuals, leaving local immigrant rights and environmental justice groups to provide essential services such as language access to emergency information in Spanish and Indigenous tongues; labor protections for farmworkers endangered in the fields; and a private disaster relief fund for undocumented immigrants ineligible for federal aid. The article concludes with preliminary participant observations from the COVID-19 pandemic response in the region, indicating how lessons from the fire have informed official actions. As governments grapple with the increasing severity of disasters, understanding the differential impacts on undocumented immigrants can help improve disaster planning to protect the most vulnerable and stigmatized populations.
Subject
  • Countries in North America
  • Former confederations
  • Immigration
part of
is abstract of
is hasSource of
Faceted Search & Find service v1.13.91 as of Mar 24 2020


Alternative Linked Data Documents: Sponger | ODE     Content Formats:       RDF       ODATA       Microdata      About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data]
OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software