Wanyun Shao, Ph.D
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Our new paper has been published in the International Journal of Disaster Risk Reduction

3/31/2022

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     Our paper has been published in the International Journal of Disaster Risk Reduction (Impact factor: 4.32). Below please find the abstract:

"Climate change has posed serious risks to coastal cities around the world. Effective urban disaster management calls for the coordination between the local government and residents. We propose a comprehensive framework to study urban disaster resilience under climate change with New Orleans of Louisiana in the U.S. as the study area. Municipal hazard mitigation must be sufficient to mitigate these hazards. Residents’ risk perceptions are a vital component of social vulnerability and can shape public decisions to increase disaster resiliency. Because climate change is expected to intensify, it becomes important to ensure that residents’ risk perceptions are considered when developing municipal plans to maximize regional resiliency. This research aims to identify a gap in the hazard mitigation process that can be closed to better prepare the community to manage coastal hazards. To achieve this, an online survey is distributed in the New Orleans metropolitan area to determine residents’ risk perceptions and expectations of the local government’s action. Policy analysis is conducted to identify the priorities held by municipal planners in these issues. Although there is no gap in the perception of risk and municipal mitigation of current coastal hazards, there is a gap between the municipal approach to climate change mitigation and the concern and expectation of actions the residents hold regarding the future effects of climate change. The approach to climate change should be reconsidered on a municipal level and new small-scale personal incentives should be promoted to maximize resiliency toward coastal hazards in the future." 
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Our paper has been recognized as the most cited paper in Disasters

3/31/2022

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    Our paper on community vulnerability to floods and hurricanes in the Gulf Coast  has been recognized as the most cited paper in the journal Disasters.​
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Our new paper is published in the International Journal of Environmental Health Research

9/16/2019

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        Our new paper has been published in the International Journal of Environmental Health Research. In this paper, we examined potential factors that could affect community-level mental health across the United States. Here is the the summary:

          "Mental health studies have underscored the hazardous conditions of each phase of life, from youth and pre-adulthood through adulthood in the United States. This situation calls for increased public awareness of the mental health issue and better understanding of the significant factors associated with mental health hazard. The main objective of this spatial epidemiological research is to gain greater insights into the geographic dimension displayed by the different duration of mentally unhealthy days (MUDs) across U.S. counties. Using Behavioural Risk Factor Surveillance System (BRFSS) data in 2014, we examine main factors of mental health hazard including health behaviour, clinical care, socioeconomic and physical environment, demographic, community resilience, and extreme climatic conditions. In this study, we take complex design factors such as clustering, stratification and sample weight in the BRFSS data into account by using Complex Samples General Linear Model (CSGLM). Then, spatial regression models, spatial lag and error models, are applied to examine spatial dependencies and heteroscedasticity. Econometric analysis underscores that all categories of air pollution, community resilience, and sunlight variables tested are significant push factors of mentally unhealthy days (MUDs) duration. Results of the geographic analyses indicate that counties with lower air pollution (PM2.5), higher community resilience (social, economic, infrastructure, and institutional resilience), and higher sunlight exposure had significantly lower average number of MUDs reported in the past 30 days. These findings suggest that policy makers should take air pollution, community resilience, and sunlight exposure into account when designing environmental and health policies and allocating resources to more effectively manage mental health problems."
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         The following figure is from this paper (Ha and Shao 2019)


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Figure 1. County-level annual average number of age-adjusted mentally unhealthy days (MUDs) reported in the past 30 days, 2014 (source: Ha and Shao, forthcoming)
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    Wanyun Shao, Ph.D

    I am a geographer who studies risk decision making within a geographic context.

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