"The COVID-19 pandemic poses unprecedented risks to the well-being of Americans. To control the pandemic, a sufficient proportion of the population needs to be vaccinated promptly. Despite the proven efficacy and widespread availability, vaccine distribution and administration rates remain low. Thus, it is important to understand the public behavior of COVID-19 vaccination. This study aims to identify determinants at multiple levels that promote or inhibit one’s vaccine uptake. We combine individual-level data from a national survey conducted in the summer of 2021 with corresponding state-level indicators. Findings of multilevel logistic regression show that political orientation, social network, and economic recovery altogether have significant influence. We articulate that individual decisions to take the vaccine are a function of their personal characteristics and are also rooted in their home state’s political, public health, and economic contexts. These findings contribute to the literature and have policy implications. Knowledge of the profiles among people who take/refuse the vaccine provides essential information to leverage certain factors and maximize vaccine uptake to mitigate the pandemic’s devastating impact."
Our new paper, entitled "Understanding the Influence of Political Orientation, Social Network, and Economic Recovery on COVID-19 Vaccine Uptake among Americans" has been published online in Vaccine (Impact factor: 3.641). Below please find the abstract:
"The COVID-19 pandemic poses unprecedented risks to the well-being of Americans. To control the pandemic, a sufficient proportion of the population needs to be vaccinated promptly. Despite the proven efficacy and widespread availability, vaccine distribution and administration rates remain low. Thus, it is important to understand the public behavior of COVID-19 vaccination. This study aims to identify determinants at multiple levels that promote or inhibit one’s vaccine uptake. We combine individual-level data from a national survey conducted in the summer of 2021 with corresponding state-level indicators. Findings of multilevel logistic regression show that political orientation, social network, and economic recovery altogether have significant influence. We articulate that individual decisions to take the vaccine are a function of their personal characteristics and are also rooted in their home state’s political, public health, and economic contexts. These findings contribute to the literature and have policy implications. Knowledge of the profiles among people who take/refuse the vaccine provides essential information to leverage certain factors and maximize vaccine uptake to mitigate the pandemic’s devastating impact."
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Our analysis article reflecting on the COVID-19 year was just published on the Conversation:
"Even though Americans shared the experience of living through a global pandemic, their individual attitudes towards it differed and evolved – sometimes dramatically... Overall, our research shows the combination of timely information with trusting, well-connected communities, is most likely to result in collective risk mitigation behavior. Perhaps these insights can help the U.S. prepare better for the next pandemic." Our new paper entitled "Understanding the influence of contextual factors and individual social capital on American public mask wearing in response to COVID-19" has been published in Health and Place (Impact Factor: 4.078) . Below please find the abstract: "The COVID–19 pandemic poses unprecedented risks to the health and well-being of the entire population in the U.S. To control the pandemic, it is imperative for individuals to take precautionary behaviors (e.g., wearing a mask, keeping social distance, washing hands frequently, etc.). The factors that influence individual behavioral response thus warrants a close examination. Using survey data for respondents from 10 states merged with state-level data, our study represents a pioneering effort to reveal contextual and individual social capital factors that explain public mask wearing in response to COVID–19. Findings of logistic multilevel regression show that the COVID–19 death rate and political control of government at the state level along with one’s social capital at the individual level altogether influence whether people decide to wear face masks. These findings contribute to the rapidly growing literature and have policy implications for mitigating the pandemic’s devastating impact on the American public." My research group Environmental Decision Making at the Department of Geography at the University of Alabama is accepting applications for a Ph.D student with research assistantship, in social dimension of hazards in general and flood hazards in particular. The assistantship provides a stipend plus tuition remission.
The successful applicant will work with me and two research groups at the Department of Civil, Construction, and Environmental Engineering and will be involved in projects focused on human dimension of flood hazards. Qualified candidates should have a Master’s degree in Geography, Environmental Studies/Sciences, Planning or a related discipline. Candidates should have a strong interest in the intersection of social and physical dimensions of hazards and be eager to work in an interdisciplinary environment. Experience in quantitative data analysis, survey design, geographic information systems (GIS) are desired. Strong oral and written communication skills are required. For more information about this assistantship, please contact me at wshao1@ua.edu well in advance of February 15, 2021 (the application deadline). Please include a copy of your CV, unofficial academic transcripts, and a brief personal statement that highlights skills relevant to the position. For more information about the department, please see https://geography.ua.edu/. The website of my lab Environmental Decision Making at UA is up and running. Please check it out.
We encourage inquires from prospective Master of Science or Ph.D students with research interests in environmental decision making within a geographic context. In particular, we seek students with training in statistics, data analysis, quantitative methods, and Geographic Information System (GIS). Students' specific research interests can include: 1. environmental risk perceptions 2. individual adaptive behavior/intention 3. community vulnerability and resilience 4. environmental planning/policy 5. environmental hazards and public health If you are interested in joining us, please send your inquiry along with your CV., unofficial transcripts, test scores to Dr. Wanyun Shao at wshao1@ua.edu. I have joined the International Editorial Board of Palgrave Communications (a Nature journal). I am an associate editor in the subject area of Geography and Demography.
Palgrave Communications is a fully open-access, online journal publishing peer-reviewed research across the full spectrum of the humanities and social sciences. Palgrave Communications welcomes the submission of in-depth interdisciplinary studies. In a new paper, we used Google Trends to reveal the spatiotemporal patterns of US drought awareness. This paper has been published in Palgrave Communications (a Nature journal, now Humanities and Social Sciences Communications). Here is more information about this paper: Article Title: Spatiotemporal Patterns of US Drought Awareness Summary: Drought is a creeping climatological phenomenon with persistent precipitation deficits. The intangible and gradual characteristics of drought cause a lack of social response during the onset. The level of awareness of a local drought increases rapidly through mass media reports and online information searching activities when the drought reaches its peak severity. This high level of local drought awareness drives concerns for water shortage and support for water policy. However, spatiotemporal patterns of national-scale drought awareness have never been studied due to constraints imposed by time-consuming and costly survey data collection and surveys' limited sample sizes. Here, we present the national-scale study to reveal the spatiotemporal patterns of drought awareness over the contiguous United States (CONUS) using Google Trends data and an advanced statistical technique, Principal Component Analysis (PCA). Results show that the first two PC modes can explain 48% (38% for PC1 and 10% for PC2; see Figures below) of the total variance of state-level drought awareness. We find that the PC1 mode relates to a national pattern of drought awareness across the CONUS. The spatiotemporal patterns further imply that residents in the Northeastern US region are the most aware of the emergence of drought, regardless of the geographic location of the occurrence. The results illustrate how search engine queries and social media data can help develop an effective and efficient plan for drought mitigation in the future. The following Figure comes from Kim et al. (2019): Figure 1: Major principle components of state-level drought awareness and state-level drought risk over the contiguous United States. Temporal correlations of Drought Awareness from the first two major modes with individual state-level drought awareness ((c) and (d), respectively) and individual state-level drought risk ((e) and (f), respectively). White colored states depict the states with insignificant temporal correlation at the 99% confident level. Figure 2: State-level correlation analysis of drought awareness and drought risk. Colors in the grid cells depict temporal correlation coefficients of state-level drought awareness (left triangle) and state-level drought risk (right triangle) of one state with those of the rest 48 states. To assist interpretation, areas that depict interstate relationships within the region (green colored boundaries) and across regions (blue colored boundaries) are shown in the legend box at upper-left corner.
Our new paper on how physical geography influences perceptions of flooding just got published online in the Journal of Hydrology (impact factor: 4.405). Here is the abstract of this paper:
"How does physical history of flood-related hazards affect individuals’ perceptions? The present study represents a unique effort to understand perceptions of flood hazards in light of the geographic background. Situated in Alabama, the United States, the cities of Mobile and Huntsville display two different physical geographic contexts. Despite one being a coastal city (Mobile) and the other being an inland city, both are similarly vulnerable to flooding. We first present results of historical analyses of heavy precipitation in both cities and analysis of storm surge history in the city of Mobile. We then report results of both descriptive statistical and inferential statistical analyses based on a two-city residents’ survey that was conducted in the spring of 2016. We find that residents in both cities are able to connect the particular natural hazard of flooding with their physical environments. Residents in both cities are influenced by their perceptions of precipitation when making assessments of flooding. Despite the fact that Huntsville has not experienced heavy precipitation events as much as Mobile in recent history, residents of Huntsville tend to link heavy rainfall – the most frequent cause of flooding in that city, with flooding. In contrast, residents of Mobile tend to link hurricanes, more particularly hurricane number, with flooding. These results show that people are attuned to their physical environments and take into consideration their personal observations when forming perceptions of natural hazards. More studies need to be conducted to further investigate the dynamics of physical exposure to hazards and risk perceptions in other geographic areas." Our new paper on aggregate perceptions of hurricane risks has been published on the Annals of American Association of Geographers.
In a study that has been accepted by the Annals of the American Association of Geographers, my coauthors and I have examined how community resilience along with objective hurricane risks impacts aggregate perceptions of hurricane risks. We first applied spatial techniques to transform individual-level perceptions to the aggregate level, in this case, counties. The map below displays the geographic pattern of hurricane risk perceptions among coastal counties along the U.S. Gulf Coast. Clearly, there is a concentration of heightened hurricane risk perceptions stretching from southeast Texas to west Florida. Given the recent enormous impact of Hurricane Harvey in southeast Texas and West Louisiana, it is likely that risk perception has further increased among coastal residents who have been affected by Harvey. Further, we found two aspects of community resilience measured by Cutter et al. (2014), namely economic resilience and community capital, are positively related to aggregate perceptions of hurricanes risks. This indicates that communities with more economic resources and social capital tend to perceive greater threat of hurricanes. The policy implication is that counties with less economic and social capitals need to direct efforts on educating the public about scientific assessments of hurricanes risks. Reference:
Cutter, S. L., Ash, K. D. and Emrich, C. T. 2014. The geographies of community disaster resilience. Global Environmental Change, 29, 65-77. Shao, W, Gardezi, M., and Xian, S. (forthcoming). Examining the effects of objective hurricane risks and community resilience on risk perceptions of hurricanes at the county level in the U.S. Gulf Coast: An innovative approach" Annals of the American Association of Geographers. |
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