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

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dc.contributor.authorRamesh, Balajien
dc.contributor.authorCallender, Rashidaen
dc.contributor.authorZaitchik, Benjamin F.en
dc.contributor.authorJagger, Meredithen
dc.contributor.authorSwarup, Samarthen
dc.contributor.authorGohlke, Julia M.en
dc.date.accessioned2023-09-19T14:51:42Zen
dc.date.available2023-09-19T14:51:42Zen
dc.date.issued2023-04en
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
dc.description.notesThis study was supported by the National Aeronautics and Space Administration (NASA) Applied Sciences Program Grants 80NSSC18K1594 and 80NSSC22K1048. The authors appreciate Hien Le, Director of Data Operations, Rice University for his assistance with processing and analysis of the data on the Urban Data Platform. We thank Judith Schwartzbaum, Division of Epidemiology, College of Public Health, Ohio State University, for her comments on this article.en
dc.description.sponsorshipNational Aeronautics and Space Administration (NASA) Applied Sciences Program [80NSSC18K1594, 80NSSC22K1048]en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1029/2022GH000710en
dc.identifier.issn2471-1403en
dc.identifier.issue4en
dc.identifier.othere2022GH000710en
dc.identifier.pmid37091294en
dc.identifier.urihttp://hdl.handle.net/10919/116297en
dc.identifier.volume7en
dc.language.isoenen
dc.publisherAmerican Geophysical Unionen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectflood exposure assessmenten
dc.subjectremote sensingen
dc.subjectdisaster recoveryen
dc.subjectself-reported versus remote-sensed flood exposureen
dc.subjectadverse health outcomesen
dc.subjectHurricane Harveyen
dc.titleAdverse Health Outcomes Following Hurricane Harvey: A Comparison of Remotely-Sensed and Self-Reported Flood Exposure Estimatesen
dc.title.serialGeohealthen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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