Adverse Health Outcomes Following Hurricane Harvey: A Comparison of Remotely-Sensed and Self-Reported Flood Exposure Estimates

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dc.citation.articleNumbere2022GH000710en_US
dc.citation.issueNumber4en_US
dc.citation.journalTitleGeoHealthen_US
dc.citation.volumeNumber7en_US
dc.contributor.authorRamesh, Balajien_US
dc.contributor.authorCallender, Rashidaen_US
dc.contributor.authorZaitchik, Benjamin F.en_US
dc.contributor.authorJagger, Meredithen_US
dc.contributor.authorSwarup, Samarthen_US
dc.contributor.authorGohlke, Julia M.en_US
dc.date.accessioned2023-07-21T16:13:34Zen_US
dc.date.available2023-07-21T16:13:34Zen_US
dc.date.issued2023en_US
dc.description.abstractRemotely sensed inundation may help to rapidly identify areas in need of aid during and following floods. Here we evaluate the utility of daily remotely sensed flood inundation measures and estimate their congruence with self-reported home flooding and health outcomes collected via the Texas Flood Registry (TFR) following Hurricane Harvey. Daily flood inundation for 14 days following the landfall of Hurricane Harvey was acquired from FloodScan. Flood exposure, including number of days flooded and flood depth was assigned to geocoded home addresses of TFR respondents (N = 18,920 from 47 counties). Discordance between remotely-sensed flooding and self-reported home flooding was measured. Modified Poisson regression models were implemented to estimate risk ratios (RRs) for adverse health outcomes following flood exposure, controlling for potential individual level confounders. Respondents whose home was in a flooded area based on remotely-sensed data were more likely to report injury (RR = 1.5, 95% CI: 1.27–1.77), concentration problems (1.36, 95% CI: 1.25–1.49), skin rash (1.31, 95% CI: 1.15–1.48), illness (1.29, 95% CI: 1.17–1.43), headaches (1.09, 95% CI: 1.03–1.16), and runny nose (1.07, 95% CI: 1.03–1.11) compared to respondents whose home was not flooded. Effect sizes were larger when exposure was estimated using respondent-reported home flooding. Near-real time remote sensing-based flood products may help to prioritize areas in need of assistance when on the ground measures are not accessible.en_US
dc.identifier.citationRamesh, Balaji, Callender, Rashida, Zaitchik, Benjamin F., et al.. "Adverse Health Outcomes Following Hurricane Harvey: A Comparison of Remotely-Sensed and Self-Reported Flood Exposure Estimates." <i>GeoHealth,</i> 7, no. 4 (2023) Wiley: https://doi.org/10.1029/2022GH000710.en_US
dc.identifier.digital2023-Rameshen_US
dc.identifier.doihttps://doi.org/10.1029/2022GH000710en_US
dc.identifier.urihttps://hdl.handle.net/1911/114967en_US
dc.language.isoengen_US
dc.publisherWileyen_US
dc.rightsExcept where otherwise noted, this work is licensed under a Creative Commons Attribution (CC BY) license.  Permission to reuse, publish, or reproduce the work beyond the terms of the license or beyond the bounds of Fair Use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.titleAdverse Health Outcomes Following Hurricane Harvey: A Comparison of Remotely-Sensed and Self-Reported Flood Exposure Estimatesen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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