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How neighborhood environment modified the effects of power outages on multiple health outcomes in New York state?
Zhang, Wangjian; Deng, Xinlei; Romeiko, Xiaobo X; Zhang, Kai; Sheridan, Scott C; Brotzge, Jerald; Chang, Howard H; Stern, Eric K; Guo, Zhijian; Dong, Guanghui; Reliene, Ramune; Hao, Yuantao; Lin, Shao.
Afiliación
  • Zhang W; Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
  • Deng X; Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer, NY, USA.
  • Romeiko XX; Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer, NY, USA.
  • Zhang K; Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer, NY, USA.
  • Sheridan SC; Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer, NY, USA.
  • Brotzge J; Department of Geography, Kent State University, Kent, OH, USA.
  • Chang HH; New York State Mesonet, College of Arts and Sciences, State University of New York, Rensselaer, NY, USA.
  • Stern EK; Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA.
  • Guo Z; College of Emergency Preparedness, Homeland Security and Cybersecurity, State University of New York, Albany, NY, USA.
  • Dong G; Department of Mathematics and Statistics, State University of New York, Albany, NY, USA.
  • Reliene R; Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, China.
  • Hao Y; Cancer Research Center, State University of New York, Rensselaer, NY, USA.
  • Lin S; Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Article en En | MEDLINE | ID: mdl-36777309
ABSTRACT

Background:

Although power outage (PO) is one of the most important consequences of increasing weather extremes and the health impact of POs has been reported previously, studies on the neighborhood environment underlying the population vulnerability in such situations are limited. This study aimed to identify dominant neighborhood environmental predictors which modified the impact of POs on multiple health outcomes in New York State.

Methods:

We applied a two-stage approach. In the first stage, we used time series analysis to determine the impact of POs (versus non-PO periods) on multiple health outcomes in each power operating division in New York State, 2001-2013. In the second stage, we classified divisions as risk-elevated and non-elevated, then developed predictive models for the elevation status based on 36 neighborhood environmental factors using random forest and gradient boosted trees.

Results:

Consistent across different outcomes, we found predictors representing greater urbanization, particularly, the proportion of residents having access to public transportation (importance ranging from 4.9-15.6%), population density (3.3-16.1%), per capita income (2.3-10.7%), and the density of public infrastructure (0.8-8.5%), were associated with a higher possibility of risk elevation following power outages. Additionally, the percent of minority (-6.3-27.9%) and those with limited English (2.2-8.1%), the percent of sandy soil (6.5-11.8%), and average soil temperature (3.0-15.7%) were also dominant predictors for multiple outcomes. Spatial hotspots of vulnerability generally were located surrounding New York City and in the northwest, the pattern of which was consistent with socioeconomic status.

Conclusion:

Population vulnerability during power outages was dominated by neighborhood environmental factors representing greater urbanization.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Hyg Environ Health Adv Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Hyg Environ Health Adv Año: 2022 Tipo del documento: Article País de afiliación: China