The Rise of Global Warming Skepticism: Exploring Affective Image Associations in the United States Over Time

Risk Analysis ◽  
2012 ◽  
Vol 32 (6) ◽  
pp. 1021-1032 ◽  
Author(s):  
Nicholas Smith ◽  
Anthony Leiserowitz
2007 ◽  
Author(s):  
Karen A. Fitzner ◽  
Charlie Bennett ◽  
June McKoy ◽  
Cara Tigue

Author(s):  
William W. Franko ◽  
Christopher Witko

The authors conclude the book by recapping their arguments and empirical results, and discussing the possibilities for the “new economic populism” to promote egalitarian economic outcomes in the face of continuing gridlock and the dominance of Washington, DC’s policymaking institutions by business and the wealthy, and a conservative Republican Party. Many states are actually addressing inequality now, and these policies are working. Admittedly, many states also continue to embrace the policies that have contributed to growing inequality, such as tax cuts for the wealthy or attempting to weaken labor unions. But as the public grows more concerned about inequality, the authors argue, policies that help to address these income disparities will become more popular, and policies that exacerbate inequality will become less so. Over time, if history is a guide, more egalitarian policies will spread across the states, and ultimately to the federal government.


2014 ◽  
Vol 35 (4) ◽  
pp. 423-425 ◽  
Author(s):  
Edwin C. Pereira ◽  
Kristin M. Shaw ◽  
Paula M. Snippes Vagnone ◽  
Jane E. Harper ◽  
Alexander J. Kallen ◽  
...  

Carbapenem-resistant Enterobacteriaceae (CRE) are a growing problem in the United States. We explored the feasibility of active laboratory-based surveillance of CRE in a metropolitan area not previously considered to be an area of CRE endemicity. We provide a framework to address CRE surveillance and to monitor changes in the incidence of CRE infection over time.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Di Zhu ◽  
Xinyue Ye ◽  
Steven Manson

AbstractWe describe the use of network modeling to capture the shifting spatiotemporal nature of the COVID-19 pandemic. The most common approach to tracking COVID-19 cases over time and space is to examine a series of maps that provide snapshots of the pandemic. A series of snapshots can convey the spatial nature of cases but often rely on subjective interpretation to assess how the pandemic is shifting in severity through time and space. We present a novel application of network optimization to a standard series of snapshots to better reveal how the spatial centres of the pandemic shifted spatially over time in the mainland United States under a mix of interventions. We find a global spatial shifting pattern with stable pandemic centres and both local and long-range interactions. Metrics derived from the daily nature of spatial shifts are introduced to help evaluate the pandemic situation at regional scales. We also highlight the value of reviewing pandemics through local spatial shifts to uncover dynamic relationships among and within regions, such as spillover and concentration among states. This new way of examining the COVID-19 pandemic in terms of network-based spatial shifts offers new story lines in understanding how the pandemic spread in geography.


2017 ◽  
Vol 7 ◽  
pp. 46-49 ◽  
Author(s):  
Michael F. Pesko ◽  
Johanna Catherine Maclean ◽  
Cameron M. Kaplan ◽  
Steven C. Hill

1987 ◽  
Vol 81 (2) ◽  
pp. 345-366 ◽  
Author(s):  
Vinod K. Aggarwal ◽  
Robert O. Keohane ◽  
David B. Yoffie

Recent protectionism by the United States has principally taken the form of negotiated barriers to trade, such as voluntary export restraints. These barriers tend to evolve over time and to display three patterns, which we label institutionalized, temporary, and sporadic protectionism. Cartel theory and studies of the politics of protection suggest that the dynamics of negotiated protectionism will depend on three variables: the barriers to entry into an industry, the size of the domestic industry, and the exit barriers for domestic firms. Low barriers to entry will lead to institutionalized protectionism when the domestic industry is large and exit difficult; temporary protectionism results when the domestic industry is small and exit easy; and sporadic protectionism is likely when barriers to entry are high. Brief studies of U.S. protectionism in textiles and apparel, steel, footwear, televisions, and automobiles illustrate the value of this framework.


2021 ◽  
pp. 003335492110267
Author(s):  
Kiersten J. Kugeler ◽  
Paul S. Mead ◽  
Amy M. Schwartz ◽  
Alison F. Hinckley

Lyme disease is the most common vector-borne disease in the United States and is characterized by a bimodal age distribution and male predominance. We examined trends in reported cases during a 25-year period to describe changes in the populations most affected by Lyme disease in the United States. We examined demographic characteristics of people with confirmed cases of Lyme disease reported to the Centers for Disease Control and Prevention during 1992-2016 through the National Notifiable Diseases Surveillance System. We grouped cases into 5-year periods (1992-1996, 1997-2001, 2002-2006, 2007-2011, 2012-2016). We calculated the average annual incidence by age and sex and used incidence rate ratios (IRRs) to describe changes in Lyme disease incidence by age and sex over time. We converted patient age at time of illness into patient birth year to ascertain disease patterns according to birth cohorts. The incidence of Lyme disease in the United States doubled from 1992-1996 to 2012-2016 (IRR = 1.74; 95% CI, 1.70-1.78) and increased disproportionately among males; IRRs were 39%-89% higher among males than among females for most age groups. During the study period, children aged 5-9 years were most frequently and consistently affected. In contrast, the average age of adults with Lyme disease increased over time; of all adults, people born during 1950-1964 were the most affected by Lyme disease. Our findings suggest that age-related behaviors and susceptibilities may drive infections among children, and the shifting peak among adults likely reflects a probability proportional to the relative size of the baby boom population. These findings can inform targeted and efficient public health education and intervention efforts.


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