27 results on '"Peterson, Elisha"'
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2. Trends in Number and Distribution of COVID-19 Hotspot Counties — United States, March 8–July 15, 2020
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Oster, Alexandra M., Kang, Gloria J., Cha, Amy E., Beresovsky, Vladislav, Rose, Charles E., Rainisch, Gabriel, Porter, Laura, Valverde, Eduardo E., Peterson, Elisha B., Driscoll, Anne K., Norris, Tina, Wilson, Nana, Ritchey, Matthew, Walke, Henry T., Rose, Dale A., Oussayef, Nadia L., Parise, Monica E., Moore, Zack S., Fleischauer, Aaron T., Honein, Margaret A., Dirlikov, Emilio, and Villanueva, Julie
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- 2020
3. Unshackling Linear Algebra from Linear Notation
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Peterson, Elisha
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Mathematics - History and Overview ,15-02, 00A35 - Abstract
This paper provides an introduction to trace diagrams at a level suitable for advanced undergraduates. Trace diagrams are a non-traditional notation for linear algebra. Vectors are represented by edges in a diagram, and matrices by markings along the edges of the diagram. The notation is rigorous and permits proofs more elegant than those written using traditional notation. We begin with the definition of trace diagrams, and move directly into two special cases that help orient the reader to the diagrammatic point-of-view. We then provide an explicit description of how they are calculated. Finally, we provide the diagrammatic perspective on some questions often posed by students seeing vectors and linear algebra for the first time. We also look at some questions inspired by the diagrammatic notation. We include several examples and exercises throughout, which are particularly important for adjusting to nonstandard notation., Comment: Several figures created using PGF/TikZ
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- 2009
4. N-person envy-free chore division
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Peterson, Elisha and Su, Francis Edward
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Mathematics - Combinatorics ,Mathematics - History and Overview ,90D06, 90A06, 00A69 - Abstract
In contrast to the classical cake-cutting problem (how to fairly divide a desirable object), "chore division" is the problem of how to divide an undesirable object. We develop the first explicit algorithm for envy-free chore division among N people, a counterpart to the N-person envy-free cake-division solution of Brams-Taylor (1995). This is accomplished by exploiting a notion of "irrevocable advantage" for chores. We discuss the differences between cake-cutting and chore division and additional problems encountered in chore division., Comment: 7 pages, 1 figure. See related work at http://www.math.hmc.edu/~su/papers.html
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- 2009
5. Cooperation in Subset Team Games: Altruism and Selfishness
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Peterson, Elisha
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Computer Science - Computer Science and Game Theory ,Computer Science - Discrete Mathematics - Abstract
This paper extends the theory of subset team games, a generalization of cooperative game theory requiring a payoff function that is defined for all subsets of players. This subset utility is used to define both altruistic and selfish contributions of a player to the team. We investigate properties of these games, and analyze the implications of altruism and selfishness for general situations, for prisoner's dilemma, and for a specific game with a Cobb-Douglas utility.
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- 2009
6. On A Diagrammatic Proof of the Cayley-Hamilton Theorem
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Peterson, Elisha
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Mathematics - Rings and Algebras ,Mathematics - Quantum Algebra ,15A24, 15A72, 05C15 (primay) ,57M07 (secondary) - Abstract
This note concerns a one-line diagrammatic proof of the Cayley-Hamilton Theorem. We discuss the proof's implications regarding the "core truth" of the theorem, and provide a generalization. We review the notation of trace diagrams and exhibit explicit diagrammatic descriptions of the coefficients of the characteristic polynomial, which occur as the n+1 "simplest" trace diagrams. We close with a discussion of diagrammatic polarization related to the theorem.
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- 2009
7. Computing SL(2,C) Central Functions with Spin Networks
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Lawton, Sean and Peterson, Elisha
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Mathematics - Quantum Algebra ,Mathematics - Algebraic Geometry - Abstract
Let G=SL(2,C) and F_r be a rank r free group. Given an admissible weight in N^{3r-3}, there exists a class function defined on Hom(F_r,G) called a central function. We show that these functions admit a combinatorial description in terms of graphs called trace diagrams. We then describe two algorithms (implemented in Mathematica) to compute these functions., Comment: to appear in Geometriae Dedicata
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- 2009
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8. Trace Diagrams, Matrix Minors, and Determinant Identities
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Morse, Steven and Peterson, Elisha
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Mathematics - Combinatorics ,15A69, 57M07 (Primary), 05C15, 16W22 (Secondary) - Abstract
Trace diagrams are structured graphs with edges labeled by matrices. Each diagram has an interpretation as a particular multilinear function. We provide a rigorous combinatorial definition of these diagrams using a notion of signed graph coloring, and prove that they may be efficiently represented in terms of matrix minors. Using this viewpoint, we provide new proofs of several standard determinant formulas and a new generalization of the Jacobi determinant theorem., Comment: This updated version includes significantly expanded proofs and a new generalization of the Jacobi determinant theorem
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- 2009
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9. A Not-so-Characteristic Equation: the Art of Linear Algebra
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Peterson, Elisha
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Mathematics - History and Overview ,Mathematics - Rings and Algebras - Abstract
Can the cross product be generalized? Why are the trace and determinant so important in matrix theory? What do all the coefficients of the characteristic polynomial represent? This paper describes a technique for `doodling' equations from linear algebra that offers elegant solutions to all these questions. The doodles, known as trace diagrams, are graphs labeled by matrices which have a correspondence to multilinear functions. This correspondence permits computations in linear algebra to be performed using diagrams. The result is an elegant theory from which standard constructions of linear algebra such as the determinant, the trace, the adjugate matrix, Cramer's rule, and the characteristic polynomial arise naturally. Using the diagrams, it is easy to see how little structure gives rise to these various results, as they all can be `traced' back to the definition of the determinant and inner product., Comment: Expository article intended to be accessible to a general audience
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- 2007
10. Spin networks and SL(2,C)-Character varieties
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Lawton, Sean and Peterson, Elisha
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Mathematics - Quantum Algebra ,Mathematics - Algebraic Geometry - Abstract
Denote the free group on 2 letters by F_2 and the SL(2,C)-representation variety of F_2 by R=Hom(F_2,SL(2,C)). The group SL(2,C) acts on R by conjugation. We construct an isomorphism between the coordinate ring C[SL(2,C)] and the ring of matrix coefficients, providing an additive basis of C[R]^SL(2,C) in terms of spin networks. Using a graphical calculus, we determine the symmetries and multiplicative structure of this basis. This gives a canonical description of the regular functions on the SL(2,C)-character variety of F_2 and a new proof of a classical result of Fricke, Klein, and Vogt., Comment: Updated historical treatment of the subject. Figures drawn with PGF/TikZ; Handbook of Teichmuller Theory II, A. Papadopoulos (ed), EMS Publishing House, Zurich, 2008
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- 2005
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11. Four-Person Envy-Free Chore Division
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Peterson, Elisha and Su, Francis Edward
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- 2002
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12. Trends in Disease Severity and Health Care Utilization During the Early Omicron Variant Period Compared with Previous SARS-CoV-2 High Transmission Periods--United States, December 2020-January 2022
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Iuliano, A. Danielle, Brunkard, Joan M., Boehmer, Tegan K., Peterson, Elisha, Adjei, Stacey, Binder, Alison M., Cobb, Stacy, Graff, Philip, Hidalgo, Pauline, Panaggio, Mark J., Rainey, Jeanette J., Rao, Preetika, Soetebier, Karl, Wacaster, Susan, Ai, ChinEn, Gupta, Vikas, Molinari, Noelle-Angelique M., and Ritchey, Matthew D.
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United States. Department of Health and Human Services ,Medical care -- Utilization ,Disease transmission -- Health aspects ,Health - Abstract
On January 25, 2022 this report was posted as an MMWR Early Release on the MMWR website (https://www.cdc.gov/mmwr). The B.1.1.529 (Omicron) variant of SARS-CoV-2, the virus that causes COVID-19, was [...]
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- 2022
13. The Challenges of Identifying Fibromyalgia in Adolescents
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Peterson, Elisha E., primary, Yao, Caylynn, additional, Sule, Sangeeta D., additional, and Finkel, Julia C., additional
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- 2022
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14. Trigger point injections for axial back pain in adolescents
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Peterson, Elisha, primary and Finkel, Julia, additional
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- 2021
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15. Hairball Buster: A Graph Triage Method for Viewing and Comparing Graphs
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Allen, Patrick, primary, Matties, Mark, additional, and Peterson, Elisha, additional
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- 2020
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16. Hairball Buster: A Graph Triage Method for Viewing and Comparing Graphs
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Allen, Patrick, Matties, Mark, and Peterson, Elisha
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Hairball buster (HB) (also called node-neighbor centrality or NNC) is an approach to graph analytic triage that uses simple calculations and visualization to quickly understand and compare graphs. Rather than displaying highly interconnected graphs as ‘hairballs’ that are difficult to understand, HB provides a simple standard visual representation of a graph and its metrics, combining a monotonically decreasing curve of node metrics with indicators of each node’s neighbors’ metrics. The HB visual is canonical, in the sense that it provides a standard output for each node-link graph. It helps analysts quickly identify areas for further investigation, and also allows for easy comparison between graphs of different data sets. The calculations required for creating an HB display is order Mplus Nlog N, where Nis the number of nodes and Mis the number of edges. This paper includes examples of the HB approach applied to four real-world data sets. It also compares HB to similar visual approaches such as degree histograms, adjacency matrices, blockmodeling, and force-based layout techniques. HB presents greater information density than other algorithms at lower or equal calculation cost, efficiently presenting information in a single display that is not available in any other single display.
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- 2022
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17. A Polytopal Generalization of Sperner's Lemma
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De Loera, Jesus A., Peterson, Elisha, and Edward Su, Francis
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- 2002
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18. Hairball Buster: A Graph Triage Method for Viewing and Comparing Graphs
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Allen, Patrick, Matties, Mark, and Peterson, Elisha
- Abstract
Hairball buster (HB) (also called node-neighbor centrality or NNC) is an approach to graph analytic triage that uses simple calculations and visualization to quickly understand and compare graphs. Rather than displaying highly interconnected graphs as ‘hairballs’ that are difficult to understand, HB provides a simple standard visual representation of a graph and its metrics, combining a monotonically decreasing curve of node metrics with indicators of each node’s neighbors’ metrics. The HB visual is canonical, in the sense that it provides a standard output for each node-link graph. It helps analysts quickly identify areas for further investigation, and also allows for easy comparison between graphs of different data sets. The calculations required for creating an HB display is order Mplus Nlog N, where Nis the number of nodes and Mis the number of edges. This paper includes examples of the HB approach applied to four real-world data sets. It also compares HB to similar visual approaches such as degree histograms, adjacency matrices, blockmodeling, and force-based layout techniques. HB presents greater information density than other algorithms at lower or equal calculation cost, efficiently presenting information in a single display that is not available in any other single display.
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- 2019
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19. Partial Leading in Pursuit and Evasion Games
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MILITARY ACADEMY WEST POINT NY DEPT OF MATHEMATICAL SCIENCES, Arney, Chris, Peterson, Elisha, MILITARY ACADEMY WEST POINT NY DEPT OF MATHEMATICAL SCIENCES, Arney, Chris, and Peterson, Elisha
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Pursuit and evasion games encompass a large class of games in which one or more pursuers attempt to find and/or capture one or more evaders . These games have immense practical importance, yet their mathematics is not fully-understood outside of a limited number of simple cases. This paper introduces PursuitSim, a simulation platform for pursuit and evasion games in which the user interactively explores these games by dynamically adjusting algorithm parameters. The dynamic and exploratory nature of the platform allows the user to quickly ascertain broad patterns and test hypotheses. We discuss insights gained using the platform on the efficacy of leading strategies in situations where the pursuer can make reasonable assumptions about the path of the evader., Presented at the Proceedings of the 2010 Winter Simulation Conference, 5-8 Dec, Baltimore, MD.
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- 2010
20. Models and Metrics of Geometric Cooperation
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MILITARY ACADEMY WEST POINT NY DEPT OF MATHEMATICAL SCIENCES, Arney, Chris, Arney, Kristin, Peterson, Elisha, MILITARY ACADEMY WEST POINT NY DEPT OF MATHEMATICAL SCIENCES, Arney, Chris, Arney, Kristin, and Peterson, Elisha
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A basic way that entities can cooperate with one another is by sharing of tasks through synchronized movement to balance their geometric load. For example, players of a team defending a goal may be assigned equal-spaced zones to defend or units in a military force may be assigned equal-spaced sectors to control. As the dynamics of the situation unfold and as entities move, withdraw, or enter the space; the other entities cooperate by adjusting their positions to retain load balance. Various ways that this geometric cooperation can be accomplished, both from the perspectives of central and local control, are developed analyzed, and simulated. This problem is related to other geometric cooperation problems such as movements in multi-player pursuit-evasion games and balancing loads for other generally non-geometric algorithms. The authors use the metrics to establish a framework for a theory of geometric cooperation. Simulations, metrics, and results of the algorithms? Performance in various scenarios are presented., Presented at the Proceedings of the 2010 Winter Simulation Conference, 5-8 Dec, Baltimore, MD
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- 2010
21. Modeling of Diffusion through a Network: A New Approach using Cellular Automata and Network Science Techniques
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MILITARY ACADEMY WEST POINT NY NETWORK SCIENCE CENTER (NSC), Kinney, Steven, Peterson, Elisha, MILITARY ACADEMY WEST POINT NY NETWORK SCIENCE CENTER (NSC), Kinney, Steven, and Peterson, Elisha
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This paper investigates the sensitivity of current models that describe diffusion or the spread of infection to changes in topology and/or initial conditions. We construct a computer simulation based on cellular automata that allows for customization of network and infection scenarios. Using the simulation we run several batch runs with varied circumstances to assess the impact of small changes in topology and initial conditions upon diffusion through a network. We also build Excel models to predict long term infection and spread rates, based upon insights from the computer-based cellular automata simulation. The goal is to highlight weaknesses in current models and present alternative models that may be more realistic. Using network science and computer science techniques, we present another option for modelers to use when forming their own spread and diffusion models., The original document contains color images.
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- 2010
22. Cooperation in Social Networks: Communication, Trust, and Selflessness
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ARMY RESEARCH OFFICE RESEARCH TRIANGLE PARK NC, Arney, David C., Peterson, Elisha, ARMY RESEARCH OFFICE RESEARCH TRIANGLE PARK NC, Arney, David C., and Peterson, Elisha
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The Army's myriad social networks connect not only humans and soldiers, but also machines, computers, and robots. And most of the social/biological/physical/informational connections in these networks are in the form of cooperation - entities working together to achieve a common goal. So how does this complex web of relationships, collaborations, and communities of diverse entities work? This paper introduces a new framework in which measures of cooperation can be precisely defined. We demonstrate how the framework can be applied to social networks, and examine the dynamic networks arising in the case of pursuit and evasion games. Finally, we relate the concepts of competitive and altruistic cooperation to trust and the nature of communication within a team., See also ADM002187. Proceedings of the Army Science Conference (26th), held in Orlando, Florida on 1-4 December 2008. The original document contains color images.
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- 2008
23. Trace Diagrams, Representations, and Low-Dimensional Topology
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Peterson, Elisha and Peterson, Elisha
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This thesis concerns a certain basis for the coordinate ring of the character variety of a surface. Let G be a connected reductive linear algebraic group, and let S be a surface whose fundamental group pi is a free group. Then the coordinate ring C[Hom(pi,G)] of the homomorphisms from pi to G is isomorphic to C[G^r]=C[G]^{tensor r} for some r>=0. The coordinate ring C[G] may be identified with the ring of matrix coefficients of the maximal compact subgroup of G. Therefore, the coordinate ring on the character variety, which is also the ring of invariants C[Hom(pi,G)]^G, may be described in terms of the matrix coefficients of the maximal compact subgroup. This correspondence provides a basis {X_a} for C[Hom(pi,G)]^G, whose constituents will be called central functions. These functions may be expressed as labelled graphs called trace diagrams. This point-of-view permits diagram manipulation to be used to construct relations on the functions. In the particular case G=SL(2,C), we give an explicit description of the central functions for surfaces. For rank one and two fundamental groups, the diagrammatic approach is used to describe the symmetries and structure of the central function basis, as well as a product formula in terms of this basis. For SL(3,C), we describe how to write down the central functions diagrammatically using the Littlewood-Richardson Rule, and give some examples. We also indicate progress for SL(n,C).
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- 2006
24. Brief for the Appellant State of New Union: Twelfth Annual Pace National Environmental Moot Court Competition
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Chivers, Matthew, primary, Peterson, Elisha, additional, and Tomko, Sean, additional
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- 2000
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25. The Challenges of Identifying Fibromyalgia in Adolescents
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E. Peterson, Elisha, Yao, Caylynn, D. Sule, Sangeeta, and C. Finkel, Julia
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Aim. Fibromyalgia (FM) is a noninflammatory disorder of the nervous system characterized by widespread musculoskeletal pain and somatic complaints of at least 3 months duration. There are no current diagnostic criteria for fibromyalgia in children to guide clinicians in recognition, thus leading to many subspecialty referrals and extensive imaging and tests. The purpose of this retrospective review is to compare two diagnostic criteria for juvenile fibromyalgia. Methods. A retrospective chart review of 20 children diagnosed with juvenile fibromyalgia from a singular pain physician practice was performed. Both the Yunus diagnostic criteria and the 2016 American College of Rheumatology (ACR) diagnostic criteria were applied and compared. Results. 85% of patients met criteria for fibromyalgia under both criteria. 15% of patients met only ACR criteria as the Yunus criteria excluded those with underlying conditions. Of the children who fulfilled criteria with use of both diagnostic tools, this cohort reported a high somatic symptom burden as demonstrated by the ACR symptom severity scales of 12 and satisfaction of at least 4 Yunus and Masi minor criteria on average. Widespread pain was noted with an ACR Widespread Pain Index (WPI) of 7, and tender points were 4.8 on average across the cohort. Effective therapeutic regimens among patients varied widely from medical monotherapy to multimodal treatment. Patients presented with pain for 1.8 yrs on average prior to a diagnosis. All of the cohort had a normal laboratory evaluation; half the cohort received additional imaging and testing. Conclusion. This case series suggests the need for an updated diagnostic tool for pediatric fibromyalgia to facilitate recognition and treatment.
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- 2022
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26. Trends in Disease Severity and Health Care Utilization During the Early Omicron Variant Period Compared with Previous SARS-CoV-2 High Transmission Periods - United States, December 2020-January 2022.
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Iuliano AD, Brunkard JM, Boehmer TK, Peterson E, Adjei S, Binder AM, Cobb S, Graff P, Hidalgo P, Panaggio MJ, Rainey JJ, Rao P, Soetebier K, Wacaster S, Ai C, Gupta V, Molinari NM, and Ritchey MD
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- Adolescent, Adult, Child, Child, Preschool, Critical Care statistics & numerical data, Emergency Service, Hospital statistics & numerical data, Humans, Infant, Length of Stay statistics & numerical data, Middle Aged, Severity of Illness Index, United States epidemiology, COVID-19 epidemiology, Facilities and Services Utilization trends, Hospitalization statistics & numerical data, SARS-CoV-2
- Abstract
The B.1.1.529 (Omicron) variant of SARS-CoV-2, the virus that causes COVID-19, was first clinically identified in the United States on December 1, 2021, and spread rapidly. By late December, it became the predominant strain, and by January 15, 2022, it represented 99.5% of sequenced specimens in the United States* (1). The Omicron variant has been shown to be more transmissible and less virulent than previously circulating variants (2,3). To better understand the severity of disease and health care utilization associated with the emergence of the Omicron variant in the United States, CDC examined data from three surveillance systems and a large health care database to assess multiple indicators across three high-COVID-19 transmission periods: December 1, 2020-February 28, 2021 (winter 2020-21); July 15-October 31, 2021 (SARS-CoV-2 B.1.617.2 [Delta] predominance); and December 19, 2021-January 15, 2022 (Omicron predominance). The highest daily 7-day moving average to date of cases (798,976 daily cases during January 9-15, 2022), emergency department (ED) visits (48,238), and admissions (21,586) were reported during the Omicron period, however, the highest daily 7-day moving average of deaths (1,854) was lower than during previous periods. During the Omicron period, a maximum of 20.6% of staffed inpatient beds were in use for COVID-19 patients, 3.4 and 7.2 percentage points higher than during the winter 2020-21 and Delta periods, respectively. However, intensive care unit (ICU) bed use did not increase to the same degree: 30.4% of staffed ICU beds were in use for COVID-19 patients during the Omicron period, 0.5 percentage points lower than during the winter 2020-21 period and 1.2 percentage points higher than during the Delta period. The ratio of peak ED visits to cases (event-to-case ratios) (87 per 1,000 cases), hospital admissions (27 per 1,000 cases), and deaths (nine per 1,000 cases [lagged by 3 weeks]) during the Omicron period were lower than those observed during the winter 2020-21 (92, 68, and 16 respectively) and Delta (167, 78, and 13, respectively) periods. Further, among hospitalized COVID-19 patients from 199 U.S. hospitals, the mean length of stay and percentages who were admitted to an ICU, received invasive mechanical ventilation (IMV), and died while in the hospital were lower during the Omicron period than during previous periods. COVID-19 disease severity appears to be lower during the Omicron period than during previous periods of high transmission, likely related to higher vaccination coverage,
† which reduces disease severity (4), lower virulence of the Omicron variant (3,5,6), and infection-acquired immunity (3,7). Although disease severity appears lower with the Omicron variant, the high volume of ED visits and hospitalizations can strain local health care systems in the United States, and the average daily number of deaths remains substantial.§ This underscores the importance of national emergency preparedness, specifically, hospital surge capacity and the ability to adequately staff local health care systems. In addition, being up to date on vaccination and following other recommended prevention strategies are critical to preventing infections, severe illness, or death from COVID-19., Competing Interests: All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. Vikas Gupta reports stock option holdings in Becton, Dickinson and Company, his employer. No other potential conflicts of interest were disclosed.- Published
- 2022
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27. Trends in Number and Distribution of COVID-19 Hotspot Counties - United States, March 8-July 15, 2020.
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Oster AM, Kang GJ, Cha AE, Beresovsky V, Rose CE, Rainisch G, Porter L, Valverde EE, Peterson EB, Driscoll AK, Norris T, Wilson N, Ritchey M, Walke HT, Rose DA, Oussayef NL, Parise ME, Moore ZS, Fleischauer AT, Honein MA, Dirlikov E, and Villanueva J
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- COVID-19, Humans, Incidence, United States epidemiology, Coronavirus Infections epidemiology, Pandemics, Pneumonia, Viral epidemiology, Rural Population statistics & numerical data, Urban Population statistics & numerical data
- Abstract
The geographic areas in the United States most affected by the coronavirus disease 2019 (COVID-19) pandemic have changed over time. On May 7, 2020, CDC, with other federal agencies, began identifying counties with increasing COVID-19 incidence (hotspots) to better understand transmission dynamics and offer targeted support to health departments in affected communities. Data for January 22-July 15, 2020, were analyzed retrospectively (January 22-May 6) and prospectively (May 7-July 15) to detect hotspot counties. No counties met hotspot criteria during January 22-March 7, 2020. During March 8-July 15, 2020, 818 counties met hotspot criteria for ≥1 day; these counties included 80% of the U.S. population. The daily number of counties meeting hotspot criteria peaked in early April, decreased and stabilized during mid-April-early June, then increased again during late June-early July. The percentage of counties in the South and West Census regions* meeting hotspot criteria increased from 10% and 13%, respectively, during March-April to 28% and 22%, respectively, during June-July. Identification of community transmission as a contributing factor increased over time, whereas identification of outbreaks in long-term care facilities, food processing facilities, correctional facilities, or other workplaces as contributing factors decreased. Identification of hotspot counties and understanding how they change over time can help prioritize and target implementation of U.S. public health response activities.
- Published
- 2020
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