Evidence map›Paper›PMID 36447282›Full record

ArticleEnvironmental health : a global access science source2022

Remotely sensed measures of Hurricane Michael damage and adverse perinatal outcomes and access to prenatal care services in the Florida panhandle.

Ke Pan, Elaina Gonsoroski, Christopher K Uejio, Leslie Beitsch, Samendra P Sherchan, Maureen Y Lichtveld, Emily W Harville

Abstract read
In one paragraph

Article in Environmental health : a global access science source, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Ke PanDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, Tidewater 1820, 1440 Canal St, New Orleans, LA, 70112, USA. kpan@tulane.edu.
Elaina GonsoroskiDepartment of Geography, College of Social Sciences and Public Policy, Florida State University, Tallahassee, FL, 32306, USA.
Christopher K UejioDepartment of Geography, College of Social Sciences and Public Policy, Florida State University, Tallahassee, FL, 32306, USA.
Leslie BeitschDepartment of Behavioral Sciences and Social Medicine, College of Medicine, Florida State University, Tallahassee, FL, 32306, USA.
Samendra P SherchanDepartment of Biology, Morgan State University, Baltimore, MD, 21251, USA.
Maureen Y LichtveldDepartment of Environmental and Occupational Health, School of Public Health, University of Pittsburgh, Pittsburgh, PA, 15261, USA.
Emily W HarvilleDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, Tidewater 1820, 1440 Canal St, New Orleans, LA, 70112, USA.

Funding

Environmental influences on pregnancy outcomes after Hurricane MichaelR21ES031020 · NIEHS · TULANE UNIVERSITY OF LOUISIANA · PI HARVILLE, EMILY WHEELER, LICHTVELD, MAUREEN Y. · 2019 to 2020
$433k
NIEHS NIH HHS R21 ES031020
6 · The paper itself

Abstract

backgroundStudies of effects of hurricanes on perinatal outcomes often rely on approximate measures of exposure. This study aims to use observed damage from aerial imagery to refine residential building damage estimates, evaluate the population changes post landfall, and assess the associations between the extent of residential building damage and adverse perinatal outcomes and access to prenatal care (PNC) services. 

methodsVital statistics data from the Florida Department of Health's Office of Vital Statistics were used to align maternal geocoded address data to high-resolution imagery (0.5-foot resolution, true color with red, blue, and green bands) aerial photographs. Machine learning (support vector machines) classified residential roof damage across the study area. Perinatal outcomes were compared with the presence or absence of damage to the mother's home. Log-binomial regression models were used to compare the populations living in and outside of high-risk/damage areas, to assess the population changes after Hurricane Michael, and to estimate the associations between damage after Hurricane Michael and adverse perinatal outcomes/access to PNC services. A semi-parametric linear model was used to model time of first PNC visit and increase in damage.

resultsWe included 8,965 women in analysis. Women with lower education and/or of Black or other non-White race/ethnicity were more likely to live in areas that would see high damage than other groups. Moreover, there was a greater proportion of births delivered by women living in the high-risk/damage area (> 25% damaged parcels after Michael) in the year before Michael than the year after Michael. Lastly, living in the area with relatively high damage increased the risk of having intermediate or inadequate PNC (adjusted Risk Ratio = 1.21, 95% CI: 1.03, 1.43), but not other adverse perinatal outcomes.

conclusionsAerially observed damage data enable us to evaluate the impact of natural disasters on perinatal outcomes and access to PNC services based on residential building damage immediately surrounding a household. The association between the extent of damage and adverse perinatal outcomes should be further investigated in future studies.

Indexed as

Cyclonic StormsPrenatal CareEducational StatusEthnicityFemaleFloridaHumansPregnancyBirthDisasterHurricanePregnancyPrenatal careRemote sensing

Identifiers

PMID36447282
PMCPMC9707262

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