Remotely sensed measures of Hurricane Michael damage and adverse perinatal outcomes and access to prenatal care services in the Florida panhandle.
Remotely sensed measures of Hurricane Michael damage and adverse perinatal outcomes and access to prenatal care services in the Florida panhandle.
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DOI：
10.1186/s12940-022-00924-1
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发表时间：
2022-11-29
影响因子：
6
通讯作者：
Harville, Emily W.
中科院分区：
文献类型：
--
作者：
Pan, Ke;Gonsoroski, Elaina;Uejio, Christopher K.;Beitsch, Leslie;Sherchan, Samendra P.;Lichtveld, Maureen Y.;Harville, Emily W.
飓风对围产期结果影响的研究往往依赖于暴露的近似测量。本研究旨在利用航空图像观测到的损害来完善住宅建筑的损害估计，评估登陆后的人口变化，并评估住宅建筑损害程度与不良围产期结局和获得产前护理（PNC）服务之间的关系。来自佛罗里达州卫生部生命统计办公室的生命统计数据被用来将母亲的地理编码地址数据与高分辨率图像（0.5英尺分辨率，红、蓝、绿带的真彩色）航空照片对齐。机器学习（支持向量机）对整个研究区域的住宅屋顶损坏进行了分类。围产期结果与母亲的家是否受到损害进行了比较。采用对数二项回归模型比较高危/受灾地区内外的人口，评估飓风“迈克尔”后的人口变化，并估计飓风“迈克尔”后的破坏与不良围产期结局/获得PNC服务之间的关系。采用半参数线性模型对PNC首次访问时间和损伤增量进行建模。我们在分析中纳入了8965名女性。受教育程度较低的女性和/或黑人或其他非白人种族/民族的女性更有可能生活在比其他群体更容易遭受破坏的地区。此外，在迈克尔事件发生前一年，生活在高危/受损地区的妇女分娩的比例（迈克尔事件发生后25%的包裹受损）高于迈克尔事件发生后一年。最后，生活在损害相对较高的地区会增加中度或不充分PNC的风险（调整后的风险比= 1.21,95% CI: 1.03, 1.43），但不会增加其他不良围产期结局。空中观察到的损害数据使我们能够评估自然灾害对围产期结果的影响，并根据家庭周围住宅建筑的损害情况来获得PNC服务。损伤程度与不良围产期结局之间的关系应在未来的研究中进一步研究。在线版本包含补充材料，可在10.1186/s12940-022-00924-1获得。
Studies 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. Vital 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. We 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. Aerially 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. The online version contains supplementary material available at 10.1186/s12940-022-00924-1.
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影响因子：
10.4
作者：
Holstius DM;Reid CE;Jesdale BM;Morello-Frosch R
通讯作者：
Morello-Frosch R
影响因子：
3.3
作者：
DeWaard, Jack;Johnson, Janna E.;Whitaker, Stephan D.
通讯作者：
Whitaker, Stephan D.
影响因子：
3.5
作者：
Groen, Jeffrey A.;Polivka, Anne E.
通讯作者：
Polivka, Anne E.
影响因子：
2.7
作者：
Harville, Emily W.;Tran, Tri;Buekens, Pierre
通讯作者：
Buekens, Pierre
影响因子：
3.3
作者：
Fussell, Elizabeth;Sastry, Narayan;VanLandingham, Mark
通讯作者：
VanLandingham, Mark