Community Lifeline Framework for Leveraging Stabilization in Response and Recovery to Major Hurricanes

2019 ◽  
Vol 14 (1) ◽  
pp. 7-9
Author(s):  
Judy Kruger

The United States (US) and Caribbean regions remain vulnerable to the impact of severe tropical storms, hurricanes, and typhoons. In 2017, a series of hurricanes posed threats to residents living in inland and coastal communities as well as on islands isolated from the US mainland. Harvey, Irma, Jose, and Maria caused catastrophic infrastructure damage, resulting in a loss of electrical power and communications due to damaged or downed utility poles, cell towers, and transmission lines. Critical services were inoperable for many months. Emergency managers are public officials who are accountable to both political leaders and the citizens. During disaster events, emergency managers must prioritize areas of effort, manage personnel, and communicate with stakeholders to address critical infrastructure interdependences. Essential lifeline services (eg, energy and communications) were inoperable for many months, which led to increased attention from policy-makers, media, and the public.

2005 ◽  
Vol 40 (1) ◽  
pp. 1-25 ◽  
Author(s):  
Inderjeet Parmar

AbstractThe American aggression in Iraq and the campaign in Afghanistan resulted from the 11 September 2001 attacks in the US. 9/11 has had a massive, catalysing effect on the American public, press, main political parties and official foreign policy makers. This article assesses the impact of 9/11 in changing US foreign policy and especially in creating a new foreign policy establishment by comparing it to the consequences of an historical military attack on the United States – Pearl Harbor, 7 December 1941. It concludes that there is adequate evidence to suggest that a new bipartisan foreign policy consensus/establishment has emerged.


2020 ◽  
Vol 12 (16) ◽  
pp. 6502
Author(s):  
Tara C. Walsh ◽  
David W. Wanik ◽  
Emmanouil N. Anagnostou ◽  
Jonathan E. Mellor

Power outage restoration following extreme storms is a complicated process that couples engineering processes and human decisions. Emergency managers typically rely on past experiences and have limited access to computer simulations to aid in decision-making. Climate scientists predict that although hurricane frequency may decrease, the intensity of storms may increase. Increased damage from hurricanes will result in new restoration challenges that emergency managers may not have experience solving. Our study uses agent-based modeling (ABM) to determine how restoration might have been impacted for 30 different scenarios of Hurricane Sandy for a climate in 2112 (Sandy2112). These Sandy2112 scenarios were obtained from a previous study that modeled how outages from Hurricane Sandy in 2012 might have been affected in the future as climate change intensified both wind and precipitation hazards. As the number of outages increases, so does the expected estimated time to restoration for each storm. The impact of increasing crews is also studied to determine the relationship between the number of crews and outage durations (or restoration curves). Both the number of outages and the number of crews impact the variability in time to restoration. Our results can help emergency managers and policy makers plan for future hurricanes that are likely to become stronger and more impactful to critical infrastructure.


Author(s):  
Aref Emamian

This study examines the impact of monetary and fiscal policies on the stock market in the United States (US), were used. By employing the method of Autoregressive Distributed Lags (ARDL) developed by Pesaran et al. (2001). Annual data from the Federal Reserve, World Bank, and International Monetary Fund, from 1986 to 2017 pertaining to the American economy, the results show that both policies play a significant role in the stock market. We find a significant positive effect of real Gross Domestic Product and the interest rate on the US stock market in the long run and significant negative relationship effect of Consumer Price Index (CPI) and broad money on the US stock market both in the short run and long run. On the other hand, this study only could support the significant positive impact of tax revenue and significant negative impact of real effective exchange rate on the US stock market in the short run while in the long run are insignificant. Keywords: ARDL, monetary policy, fiscal policy, stock market, United States


Horticulturae ◽  
2020 ◽  
Vol 6 (4) ◽  
pp. 82
Author(s):  
Amandeep Kaur ◽  
Louise Ferguson ◽  
Niels Maness ◽  
Becky Carroll ◽  
William Reid ◽  
...  

Pecan is native to the United States. The US is the world’s largest pecan producer with an average yearly production of 250 to 300 million pounds; 80 percent of the world’s supply. Georgia, New Mexico, Texas, Arizona, Oklahoma, California, Louisiana, and Florida are the major US pecan producing states. Pecan trees frequently suffer from spring freeze at bud break and bloom as the buds are quite sensitive to freeze damage. This leads to poor flower and nut production. This review focuses on the impact of spring freeze during bud differentiation and flower development. Spring freeze kills the primary terminal buds, the pecan tree has a second chance for growth and flowering through secondary buds. Unfortunately, secondary buds have less bloom potential than primary buds and nut yield is reduced. Spring freeze damage depends on severity of the freeze, bud growth stage, cultivar type and tree age, tree height and tree vigor. This review discusses the impact of temperature on structure and function of male and female reproductive organs. It also summarizes carbohydrate relations as another factor that may play an important role in spring growth and transition of primary and secondary buds to flowers.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Corentin Cot ◽  
Giacomo Cacciapaglia ◽  
Francesco Sannino

AbstractWe employ the Google and Apple mobility data to identify, quantify and classify different degrees of social distancing and characterise their imprint on the first wave of the COVID-19 pandemic in Europe and in the United States. We identify the period of enacted social distancing via Google and Apple data, independently from the political decisions. Our analysis allows us to classify different shades of social distancing measures for the first wave of the pandemic. We observe a strong decrease in the infection rate occurring two to five weeks after the onset of mobility reduction. A universal time scale emerges, after which social distancing shows its impact. We further provide an actual measure of the impact of social distancing for each region, showing that the effect amounts to a reduction by 20–40% in the infection rate in Europe and 30–70% in the US.


1994 ◽  
Vol 20 (1-2) ◽  
pp. 203-229
Author(s):  
John D. Blum

National economies worldwide are in disarray, evidenced by escalating debts and growing deficits. As countries struggle with their faltering economies they are hard pressed to fulfill commitments of social programs made in more prosperous times, much less take on new government initiatives. The current experiences in health reform in the United States present an interesting example of the dilemmas governments now face when they embark on new ventures. While great political pressures have been launched and high expectations abound, the reality of American health reform quickly reveals that expanded access will come at a high price that won't be offset easily by conventional cost containment or market forces.In the search for an acceptable model for health reform, it was popular for policy makers and academics to turn their attentions to the health systems of other nations. Recommendations were made that the US should adopt a German or Canadian solution for our health problems.


Author(s):  
Sergio Petralia

Abstract The pervasive diffusion of electricity-related technologies at the beginning of the twentieth century has been studied extensively to understand the transformative potential of general purpose technologies (GPTs). Most of what we know, however, has been investigated in relation to the diffusion of their use. This article provides evidence on the county-level economic impact of the technological adoption of electrical and electronic (E&E) technologies in the 1920s in the United States (US). It focuses on measuring the impact of a GPT on technological adopters, i.e., those who are able to develop, transform, and complement it. It is shown that places with patenting activity in E&E technologies grew faster and paid higher wages than others between 1920 and 1930. This analysis required constructing a novel database identifying detailed geographical information for historical patent documents in the US since 1836, as well as developing a text-mining algorithm to identify E&E patents based on patent descriptions.


2020 ◽  
Vol 222 (7) ◽  
pp. 1138-1144 ◽  
Author(s):  
Sarah M Bartsch ◽  
Elizabeth A Mitgang ◽  
Gail Geller ◽  
Sarah N Cox ◽  
Kelly J O’Shea ◽  
...  

Abstract Background The protection that an influenza vaccine offers can vary significantly from person to person due to differences in immune systems, body types, and other factors. The question, then, is what is the value of efforts to reduce this variability such as making vaccines more personalized and tailored to individuals. Methods We developed a compartment model of the United States to simulate different influenza seasons and the impact of reducing the variability in responses to the influenza vaccine across the population. Results Going from a vaccine that varied in efficacy (0–30%) to one that had a uniform 30% efficacy for everyone averted 16.0–31.2 million cases, $1.9–$3.6 billion in direct medical costs, and $16.1–$42.7 billion in productivity losses. Going from 0–50% in efficacy to just 50% for everyone averted 27.7–38.6 million cases, $3.3–$4.6 billion in direct medical costs, and $28.8–$57.4 billion in productivity losses. Going from 0–70% to 70% averted 33.6–54.1 million cases, $4.0–$6.5 billion in direct medical costs, and $44.8–$64.7 billion in productivity losses. Conclusions This study quantifies for policy makers, funders, and vaccine developers and manufacturers the potential impact of efforts to reduce variability in the protection that influenza vaccines offer (eg, developing vaccines that are more personalized to different individual factors).


2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S714-S715
Author(s):  
Jean-Etienne Poirrier ◽  
Theodore Caputi ◽  
John Ayers ◽  
Mark Dredze ◽  
Sara Poston ◽  
...  

Abstract Background A small number of powerful users (“influencers”) dominates conversations on social media platforms: less than 1% of Twitter accounts have at least 3,000 followers and even fewer have hundreds of thousands or millions of followers. Beyond simple metrics (number of tweets, retweets...) little is known about these “influencers”, particularly in relation to their role in shaping online narratives about vaccines. Our goal was to describe influential Twitter accounts that are driving conversations about vaccines and present new metrics of influence. Methods Using publicly-available data from Twitter, we selected posts from 1-Jan-2016 to 31-Dec-2018 and extracted the top 5% of accounts tweeting about vaccines with the most followers. Using automated classifiers, we determined the location of these accounts, and grouped them into those that primarily tweet pro- versus anti-vaccine content. We further characterized the demographics of these influencer accounts. Results From 25,381 vaccine-related tweets available in our sample representing 10,607 users, 530 accounts represented the top 5% by number of followers. These accounts had on average 1,608,637 followers (standard deviation=5,063,421) and 340,390 median followers. Among the accounts for which sentiment was successfully estimated by the classifier, 10.4% (n=55) posted anti-vaccine content and 33.6% (n=178) posted pro-vaccine content. Of the 55 anti-vaccine accounts, 50% (n=18) of the accounts for which location was successfully determined were from the United States. Of the 178 pro-vaccine accounts, 42.5% (n=54) were from the United States. Conclusion This study showed that only a small proportion of Twitter accounts (A) post about vaccines and (B) have a high follower count and post anti-vaccine content. Further analysis of these users may help researchers and policy makers better understand how to amplify the impact of pro-vaccine social media messages. Disclosures Jean-Etienne Poirrier, PhD, MBA, The GSK group of companies (Employee, Shareholder) Theodore Caputi, PhD, Good Analytics Inc. (Consultant) John Ayers, PhD, GSK (Grant/Research Support) Mark Dredze, PhD, Bloomberg LP (Consultant)Good Analytics (Consultant) Sara Poston, PharmD, The GlaxoSmithKline group of companies (Employee, Shareholder) Cosmina Hogea, PhD, GlaxoSmithKline (Employee, Shareholder)


Author(s):  
Christoph Bezemek

This chapter assesses public insult, looking at the closely related question of ‘fighting words’ and the Supreme Court of the United States’ decision in Chaplinsky v New Hampshire. While Chaplinsky’s ‘fighting words’ exception has withered in the United States, it had found a home in Europe where insult laws are widely accepted both by the European Court of Human Rights and in domestic jurisdictions. However, the approach of the European Court is structurally different, turning not on a narrowly defined categorical exception but upon case-by-case proportionality analysis of a kind that the US Supreme Court would eschew. Considering the question of insult to public officials, the chapter focuses again on structural differences in doctrine. Expanding the focus to include the Inter-American Court of Human Rights (IACtHR) and the African Court on Human and Peoples’ Rights (ACtHPR), it shows that each proceeds on a rather different conception of ‘public figure’.


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