Deciphering small business community disaster support using machine learning
Deciphering small business community disaster support using machine learning
About this item
Full title
Author / Creator
Publisher
San Francisco: Public Library of Science
Journal title
Language
English
Formats
Publication information
Publisher
San Francisco: Public Library of Science
Subjects
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Scope and Contents
Contents
With the increase in severity and frequency of natural hazards due to climate change, developing a holistic understanding of community resilience factors is critically important to disaster response and community support. Our investigation of small business survey responses about COVID-19 impacts finds that they are conduits of national support to...
Alternative Titles
Full title
Deciphering small business community disaster support using machine learning
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_journals_3069190473
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3069190473
Other Identifiers
ISSN
2767-3200
E-ISSN
2767-3200
DOI
10.1371/journal.pclm.0000155
